种子简介

种子名称： [GigaCourse.Com] Udemy - Data Science Mega-Course #Build {60-Projects In 60-Days}
文件类型： 视频
文件数目： 367个文件
文件大小： 24.68 GB
收录时间： 2022-8-15 00:57
已经下载： 3次
资源热度： 2954
最近下载： 2024-12-26 11:45

下载BT种子文件

下载Torrent文件(.torrent) 立即下载

磁力链接下载

magnet:?xt=urn:btih:a80de867dfc283a70fa727580b3877f1a760d667&dn=[GigaCourse.Com] Udemy - Data Science Mega-Course #Build {60-Projects In 60-Days} 复制链接到迅雷、QQ旋风进行下载，或者使用百度云离线下载。

喜欢这个种子的人也喜欢

种子包含的文件

[GigaCourse.Com] Udemy - Data Science Mega-Course #Build {60-Projects In 60-Days}.torrent

1. Introduction To The Course/1. Introduction To The Course.mp436.37MB

1. Introduction To The Course/2. Udemy Feedback.mp42.05MB

10. Project-9 Bird Species Prediction Flask App/1. Introduction to Bird Species Prediction.mp421.46MB

10. Project-9 Bird Species Prediction Flask App/2. Importing Libraries And Data.mp457.49MB

10. Project-9 Bird Species Prediction Flask App/3. Dataprocessing.mp430.9MB

10. Project-9 Bird Species Prediction Flask App/4. Creating ML Model.mp494.28MB

10. Project-9 Bird Species Prediction Flask App/5. Creating A Flask App.mp471.98MB

11. Project-10 Intel Image Classification Flask App/1. Introduction.mp425.73MB

11. Project-10 Intel Image Classification Flask App/2. Importing and processing data.mp465.8MB

11. Project-10 Intel Image Classification Flask App/3. Creating a Model.mp488.38MB

11. Project-10 Intel Image Classification Flask App/4. Creating a Flask App.mp459.44MB

12. Project-11 Sentiment Analysis Django App -Deploy On Heroku/1. Introduction to Sentiment Analysis.mp49.16MB

12. Project-11 Sentiment Analysis Django App -Deploy On Heroku/2. Project Notebook Google Colab.mp4140.84MB

12. Project-11 Sentiment Analysis Django App -Deploy On Heroku/3. Building Django App.mp471.92MB

12. Project-11 Sentiment Analysis Django App -Deploy On Heroku/4. Deploying App in heroku.mp479.15MB

13. Project-12 Attrition Rate Django Application/1. Introduction.mp49.24MB

13. Project-12 Attrition Rate Django Application/2. Creating Colab Notebook.mp4213.81MB

13. Project-12 Attrition Rate Django Application/3. Creating Django App.mp485.06MB

13. Project-12 Attrition Rate Django Application/4. Deploying App in heroku.mp460.52MB

14. Project-13 Find Legendary Pokemon Django App -Deploy On Heroku/1. Introduction.mp410.3MB

14. Project-13 Find Legendary Pokemon Django App -Deploy On Heroku/2. Creating Colab Notebook.mp4177.21MB

14. Project-13 Find Legendary Pokemon Django App -Deploy On Heroku/3. Creating DJango App.mp4108.22MB

14. Project-13 Find Legendary Pokemon Django App -Deploy On Heroku/4. Deploying App in heroku.mp462.21MB

15. Project-14 Face Detection Streamlit App/1. Introduction.mp411.39MB

15. Project-14 Face Detection Streamlit App/2. Creating The Face App.mp4103.72MB

15. Project-14 Face Detection Streamlit App/3. Creating The face app.mp465.66MB

15. Project-14 Face Detection Streamlit App/4. Creating The Face app.mp494.24MB

16. Project-15 Cats Vs Dogs Classification Flask App/1. Introduction.mp413.17MB

16. Project-15 Cats Vs Dogs Classification Flask App/2. Creating Project Notebook.mp4244.27MB

16. Project-15 Cats Vs Dogs Classification Flask App/3. Building Model.mp474.7MB

16. Project-15 Cats Vs Dogs Classification Flask App/4. Building Flask App.mp451.89MB

16. Project-15 Cats Vs Dogs Classification Flask App/5. App Deployment.mp465.83MB

17. Project-16 Customer Revenue Prediction App -Deploy On Heroku/1. Introduction.mp413.29MB

17. Project-16 Customer Revenue Prediction App -Deploy On Heroku/2. Colab Notebook.mp4201.8MB

17. Project-16 Customer Revenue Prediction App -Deploy On Heroku/3. Creating Flask App.mp4117.98MB

17. Project-16 Customer Revenue Prediction App -Deploy On Heroku/4. Deploying Flask App.mp466.48MB

18. Project-17 Gender From Voice Prediction App -Deploy On Heroku/1. Introduction.mp410.54MB

18. Project-17 Gender From Voice Prediction App -Deploy On Heroku/2. Creating Project Notebook.mp4242.96MB

18. Project-17 Gender From Voice Prediction App -Deploy On Heroku/3. Creating Project App Django.mp4106.66MB

18. Project-17 Gender From Voice Prediction App -Deploy On Heroku/4. Deploying The App.mp461.12MB

19. Project-18 Restaurant Recommendation System/1. Introduction.mp421.27MB

19. Project-18 Restaurant Recommendation System/2. Creating Colab Notebook.mp4116.66MB

19. Project-18 Restaurant Recommendation System/3. Exploratory Data Analysis.mp485.43MB

19. Project-18 Restaurant Recommendation System/4. Data Analysis2.mp4242.88MB

2. Project-1 Pan Card Tempering Detector App -Deploy On Heroku/1. Introduction To Pan Card Tempering Detector.mp416.19MB

2. Project-1 Pan Card Tempering Detector App -Deploy On Heroku/2. Loading libraries and dataset.mp431.49MB

2. Project-1 Pan Card Tempering Detector App -Deploy On Heroku/3. Creating the pancard detector with opencv.mp4106.85MB

2. Project-1 Pan Card Tempering Detector App -Deploy On Heroku/4. Creating the Flask App.mp414.93MB

2. Project-1 Pan Card Tempering Detector App -Deploy On Heroku/5. Creating Important functions.mp429.08MB

2. Project-1 Pan Card Tempering Detector App -Deploy On Heroku/6. Deploy the app in heroku.mp439.09MB

2. Project-1 Pan Card Tempering Detector App -Deploy On Heroku/7. Testing the deployed pan card detector.mp45.71MB

20. Project-19 Happiness Ranking Django App -Deploy On Heroku/1. Introduction.mp416.33MB

20. Project-19 Happiness Ranking Django App -Deploy On Heroku/2. Project Notebook.mp4240.46MB

20. Project-19 Happiness Ranking Django App -Deploy On Heroku/3. Creating Django App.mp4138.34MB

20. Project-19 Happiness Ranking Django App -Deploy On Heroku/4. Deploying Django App.mp459.41MB

21. Project-20 Forest Fire Prediction Django App -Deploy On Heroku/1. Introduction.mp419.42MB

21. Project-20 Forest Fire Prediction Django App -Deploy On Heroku/2. Project Notebook.mp4207.17MB

21. Project-20 Forest Fire Prediction Django App -Deploy On Heroku/3. Project Notebook Part2.mp476.41MB

21. Project-20 Forest Fire Prediction Django App -Deploy On Heroku/4. Creating Django App.mp4117.15MB

21. Project-20 Forest Fire Prediction Django App -Deploy On Heroku/5. Deploying Django App.mp457.61MB

22. Project-21 Build Car Prices Prediction App -Deploy On Heroku/1. Introduction.mp411.98MB

22. Project-21 Build Car Prices Prediction App -Deploy On Heroku/2. Model building part1.mp462.54MB

22. Project-21 Build Car Prices Prediction App -Deploy On Heroku/3. Model building part2.mp4100.88MB

22. Project-21 Build Car Prices Prediction App -Deploy On Heroku/4. Model building part3.mp4110.79MB

22. Project-21 Build Car Prices Prediction App -Deploy On Heroku/5. Django Application part1.mp476.62MB

22. Project-21 Build Car Prices Prediction App -Deploy On Heroku/6. Django Application part2.mp466.74MB

22. Project-21 Build Car Prices Prediction App -Deploy On Heroku/7. Deploying on Heroku.mp453.56MB

23. Project-22 Build Affair Count Django App -Deploy On Heroku/1. Introduction.mp414.92MB

23. Project-22 Build Affair Count Django App -Deploy On Heroku/2. Machine Learning model building.mp495.6MB

23. Project-22 Build Affair Count Django App -Deploy On Heroku/3. Feature Selection.mp4103.38MB

23. Project-22 Build Affair Count Django App -Deploy On Heroku/4. Model Building.mp438.47MB

23. Project-22 Build Affair Count Django App -Deploy On Heroku/5. Django Application.mp443.04MB

23. Project-22 Build Affair Count Django App -Deploy On Heroku/6. Django Application building.mp4111.43MB

24. Project-23 Build Shrooming Predictions App -Deploy On Heroku/1. Introduction.mp414.21MB

24. Project-23 Build Shrooming Predictions App -Deploy On Heroku/2. Importing libraries.mp4129.61MB

24. Project-23 Build Shrooming Predictions App -Deploy On Heroku/3. Building the model.mp498.62MB

24. Project-23 Build Shrooming Predictions App -Deploy On Heroku/4. Building Django Application.mp4105.94MB

24. Project-23 Build Shrooming Predictions App -Deploy On Heroku/5. Deploying on Heroku.mp458.85MB

25. Project-24 Google Play App Rating prediction With Deployment On Heroku/1. Introduction.mp412.14MB

25. Project-24 Google Play App Rating prediction With Deployment On Heroku/2. Introduction to libraries and dataset.mp4108.77MB

25. Project-24 Google Play App Rating prediction With Deployment On Heroku/3. Preprocessing the data.mp474.92MB

25. Project-24 Google Play App Rating prediction With Deployment On Heroku/4. building the model.mp450.91MB

25. Project-24 Google Play App Rating prediction With Deployment On Heroku/5. Django Application.mp494.88MB

25. Project-24 Google Play App Rating prediction With Deployment On Heroku/6. Deploying to Heroku.mp448.15MB

26. Project-25 Build Bank Customers Predictions Django App -Deploy On Heroku/1. Introduction.mp415.23MB

26. Project-25 Build Bank Customers Predictions Django App -Deploy On Heroku/2. Importing Libraries and understanding data.mp4107.5MB

26. Project-25 Build Bank Customers Predictions Django App -Deploy On Heroku/3. Building and training the model.mp4101.22MB

26. Project-25 Build Bank Customers Predictions Django App -Deploy On Heroku/4. Django Application.mp497.97MB

26. Project-25 Build Bank Customers Predictions Django App -Deploy On Heroku/5. Deploying on heroku.mp451.48MB

27. Project-26 Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku/1. Introduction.mp415.88MB

27. Project-26 Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku/2. Understanding the data.mp4111.67MB

27. Project-26 Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku/3. Outliers and Model.mp4154.63MB

27. Project-26 Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku/4. Building Django Application.mp4103.1MB

27. Project-26 Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku/5. Deploying to Heroku.mp454.33MB

28. Project-27 Build Medical Cost Predictions Django App -Deploy On Heroku/1. Introduction.mp412.08MB

28. Project-27 Build Medical Cost Predictions Django App -Deploy On Heroku/2. Introduction and handling the data.mp4116.26MB

28. Project-27 Build Medical Cost Predictions Django App -Deploy On Heroku/3. Building the model.mp445.78MB

28. Project-27 Build Medical Cost Predictions Django App -Deploy On Heroku/4. Django Application.mp491.57MB

28. Project-27 Build Medical Cost Predictions Django App -Deploy On Heroku/5. Heroku Deployment.mp445.64MB

29. Project-28 Phishing Webpages Classification Django App -Deploy On Heroku/1. Introduction.mp414.96MB

29. Project-28 Phishing Webpages Classification Django App -Deploy On Heroku/2. Understanding the data.mp4112.46MB

29. Project-28 Phishing Webpages Classification Django App -Deploy On Heroku/3. Feature Selection and model building.mp4109.9MB

29. Project-28 Phishing Webpages Classification Django App -Deploy On Heroku/4. Django Application.mp4107.34MB

29. Project-28 Phishing Webpages Classification Django App -Deploy On Heroku/5. Deploying on Heroku.mp459.22MB

3. Project-2 Dog breed prediction Flask App/1. Introduction to dog breed prediction.mp415.91MB

3. Project-2 Dog breed prediction Flask App/2. Importing the data and libraries.mp456.78MB

3. Project-2 Dog breed prediction Flask App/3. Data Preprocessing.mp429.96MB

3. Project-2 Dog breed prediction Flask App/4. Build and Train Model.mp473.25MB

3. Project-2 Dog breed prediction Flask App/5. Testing the model.mp418.77MB

3. Project-2 Dog breed prediction Flask App/6. Creating the flask App.mp428.11MB

3. Project-2 Dog breed prediction Flask App/7. Running the app in system.mp417.27MB

30. Project-29 Clothing Fit-Size predictions Django App -Deploy On Heroku/1. Introduction.mp422.51MB

30. Project-29 Clothing Fit-Size predictions Django App -Deploy On Heroku/2. Understanding the data.mp475.08MB

30. Project-29 Clothing Fit-Size predictions Django App -Deploy On Heroku/3. Cleaning the data.mp4109.32MB

30. Project-29 Clothing Fit-Size predictions Django App -Deploy On Heroku/4. Building the model.mp483.68MB

30. Project-29 Clothing Fit-Size predictions Django App -Deploy On Heroku/5. Implementing Django Application.mp484.67MB

30. Project-29 Clothing Fit-Size predictions Django App -Deploy On Heroku/6. Deploying on heroku.mp452.69MB

31. Project-30 Build Similarity In-Text Django App -Deploy On Heroku/1. Introduction.mp430.62MB

31. Project-30 Build Similarity In-Text Django App -Deploy On Heroku/2. Cleaning the data.mp490.94MB

31. Project-30 Build Similarity In-Text Django App -Deploy On Heroku/3. Building the model.mp4130.71MB

31. Project-30 Build Similarity In-Text Django App -Deploy On Heroku/4. Implementing Django web application.mp4105.25MB

32. Project-31 Heart Attack Risk Prediction Using Eval ML (Auto ML)/1. Introduction to the Project.mp423.77MB

32. Project-31 Heart Attack Risk Prediction Using Eval ML (Auto ML)/2. Importing Libraries and Datasets.mp415.7MB

32. Project-31 Heart Attack Risk Prediction Using Eval ML (Auto ML)/3. Data Analysis.mp456.07MB

32. Project-31 Heart Attack Risk Prediction Using Eval ML (Auto ML)/4. Model Building Part 1.mp446.72MB

32. Project-31 Heart Attack Risk Prediction Using Eval ML (Auto ML)/5. Model Building Part 2.mp433.65MB

32. Project-31 Heart Attack Risk Prediction Using Eval ML (Auto ML)/6. Model building and Predictions using Auto ML.mp461.39MB

33. Project-32 Credit Card Fraud Detection Using Pycaret (Auto ML)/1. Introduction to the Project.mp429.55MB

33. Project-32 Credit Card Fraud Detection Using Pycaret (Auto ML)/2. Importing Libraries and DataSet.mp427.39MB

33. Project-32 Credit Card Fraud Detection Using Pycaret (Auto ML)/3. Data Analysis.mp443.39MB

33. Project-32 Credit Card Fraud Detection Using Pycaret (Auto ML)/4. Model Building using ML.mp458.3MB

33. Project-32 Credit Card Fraud Detection Using Pycaret (Auto ML)/5. Model Building and Prediction using PyCaret (AutoML).mp497.02MB

34. Project-33 Flight Fare Prediction Using Auto SK Learn (Auto ML)/1. Introduction to the Project.mp421.9MB

34. Project-33 Flight Fare Prediction Using Auto SK Learn (Auto ML)/2. Importing Libraries and DataSet.mp445.14MB

34. Project-33 Flight Fare Prediction Using Auto SK Learn (Auto ML)/3. Data Analysis.mp431.67MB

34. Project-33 Flight Fare Prediction Using Auto SK Learn (Auto ML)/4. Feature Engineering 1.mp443.62MB

34. Project-33 Flight Fare Prediction Using Auto SK Learn (Auto ML)/5. Feature Engineering 2.mp450.66MB

34. Project-33 Flight Fare Prediction Using Auto SK Learn (Auto ML)/6. Feature Selection.mp425.01MB

34. Project-33 Flight Fare Prediction Using Auto SK Learn (Auto ML)/7. Model Building using ML.mp438.48MB

34. Project-33 Flight Fare Prediction Using Auto SK Learn (Auto ML)/8. Model Building and Prediction using Auto SK Learn.mp441.9MB

35. Project-34 Petrol Price Forecasting Using Auto Keras/1. Introduction to the Project.mp430.63MB

35. Project-34 Petrol Price Forecasting Using Auto Keras/2. Importing Libraries and Data Set.mp420.01MB

35. Project-34 Petrol Price Forecasting Using Auto Keras/3. Data Analysis and splitting of Data.mp439.95MB

35. Project-34 Petrol Price Forecasting Using Auto Keras/4. Data Preprocessing.mp436.82MB

35. Project-34 Petrol Price Forecasting Using Auto Keras/5. Model Building and Prediction using LSTM model.mp432.58MB

35. Project-34 Petrol Price Forecasting Using Auto Keras/6. Model Building and prediction using ARIMA and Auto Keras(Auto ML).mp437.52MB

36. Project-35 Bank Customer Churn Prediction Using H2O Auto ML/1. Introduction to the Project.mp433.03MB

36. Project-35 Bank Customer Churn Prediction Using H2O Auto ML/2. Importing Libraries and DataSet.mp425.05MB

36. Project-35 Bank Customer Churn Prediction Using H2O Auto ML/3. Data Analysis.mp465.24MB

36. Project-35 Bank Customer Churn Prediction Using H2O Auto ML/4. Feature Engineering.mp447.37MB

36. Project-35 Bank Customer Churn Prediction Using H2O Auto ML/5. Model Building and Prediction using ANN.mp434.14MB

36. Project-35 Bank Customer Churn Prediction Using H2O Auto ML/6. Model Building and Prediction using H2O Auto ML(Auto ML).mp491.93MB

37. Project-36 Air Quality Index Predictor Using TPOT With Deployment (Auto ML)/1. Introduction to the Project.mp435.38MB

37. Project-36 Air Quality Index Predictor Using TPOT With Deployment (Auto ML)/2. Importing Libraries and Dataset.mp431.02MB

37. Project-36 Air Quality Index Predictor Using TPOT With Deployment (Auto ML)/3. Data Analysis.mp467.75MB

37. Project-36 Air Quality Index Predictor Using TPOT With Deployment (Auto ML)/4. Feature Engineering.mp430.65MB

37. Project-36 Air Quality Index Predictor Using TPOT With Deployment (Auto ML)/5. Model Building using ML- 1.mp469.08MB

37. Project-36 Air Quality Index Predictor Using TPOT With Deployment (Auto ML)/6. Model Building using ML- 2.mp445.07MB

37. Project-36 Air Quality Index Predictor Using TPOT With Deployment (Auto ML)/7. Model Building and Predictions using TPOT Library (Auto ML).mp443.38MB

37. Project-36 Air Quality Index Predictor Using TPOT With Deployment (Auto ML)/8. Deployment of Model using Flask API.mp463.35MB

38. Project-37 Rain Prediction Using ML models $ PyCaret With Deployment (Auto ML)/1. Introduction to the Project.mp421.44MB

38. Project-37 Rain Prediction Using ML models $ PyCaret With Deployment (Auto ML)/2. Importing Libraries and DataSet.mp445.65MB

38. Project-37 Rain Prediction Using ML models $ PyCaret With Deployment (Auto ML)/3. Data Analysis and Handling Missing Values- 1.mp438.33MB

38. Project-37 Rain Prediction Using ML models $ PyCaret With Deployment (Auto ML)/4. Data Analysis and Handling Missing Values- 2.mp450.07MB

38. Project-37 Rain Prediction Using ML models $ PyCaret With Deployment (Auto ML)/5. Feature Engineering.mp470.45MB

38. Project-37 Rain Prediction Using ML models $ PyCaret With Deployment (Auto ML)/6. Model Building using ML Algorithms.mp452.84MB

38. Project-37 Rain Prediction Using ML models $ PyCaret With Deployment (Auto ML)/7. Model Building and Prediction using PyCaret (AutoML).mp468.98MB

38. Project-37 Rain Prediction Using ML models $ PyCaret With Deployment (Auto ML)/8. Using FLASK API.mp450.76MB

39. Project-38 Pizza Price Prediction Using ML And EVALML(Auto ML)/1. Introduction to the project.mp426MB

39. Project-38 Pizza Price Prediction Using ML And EVALML(Auto ML)/2. Importing Libraries and DataSet.mp435.09MB

39. Project-38 Pizza Price Prediction Using ML And EVALML(Auto ML)/3. Data Analysis.mp467.32MB

39. Project-38 Pizza Price Prediction Using ML And EVALML(Auto ML)/4. Feature Engineering.mp453.72MB

39. Project-38 Pizza Price Prediction Using ML And EVALML(Auto ML)/5. Model Building.mp443.41MB

39. Project-38 Pizza Price Prediction Using ML And EVALML(Auto ML)/6. Model Building and Prediction using EVAL ML(Auto ML).mp497.73MB

4. Project-3 Image Watermarking App -Deploy On Heroku/1. Introduction.mp415.12MB

4. Project-3 Image Watermarking App -Deploy On Heroku/2. Importing libraries and logo.mp425.14MB

4. Project-3 Image Watermarking App -Deploy On Heroku/3. Create text and image watermark.mp475.94MB

4. Project-3 Image Watermarking App -Deploy On Heroku/4. Creating the app.mp463.33MB

4. Project-3 Image Watermarking App -Deploy On Heroku/5. Deploying the app in heroku.mp429.99MB

40. Project-39 IPL Cricket Score Prediction Using TPOT (Auto ML)/1. Introduction to the Project.mp434.45MB

40. Project-39 IPL Cricket Score Prediction Using TPOT (Auto ML)/2. Importing Libraries and DataSet.mp440.78MB

40. Project-39 IPL Cricket Score Prediction Using TPOT (Auto ML)/3. Data Analysis and Cleaning.mp451.98MB

40. Project-39 IPL Cricket Score Prediction Using TPOT (Auto ML)/4. Data Preprocessing.mp456.63MB

40. Project-39 IPL Cricket Score Prediction Using TPOT (Auto ML)/5. Model Building using ML Algorithms.mp459.15MB

40. Project-39 IPL Cricket Score Prediction Using TPOT (Auto ML)/6. Model Building using TPOT Auto ML Library-1.mp444.34MB

40. Project-39 IPL Cricket Score Prediction Using TPOT (Auto ML)/7. Model Building using TPOT Auto ML Library-2.mp426.93MB

41. Project-40 Predicting Bike Rentals Count Using ML And H2O Auto ML/1. Introduction to the Project.mp443.36MB

41. Project-40 Predicting Bike Rentals Count Using ML And H2O Auto ML/2. Importing libraries and DataSet.mp433.93MB

41. Project-40 Predicting Bike Rentals Count Using ML And H2O Auto ML/3. Data Analysis and Cleaning -1.mp468.58MB

41. Project-40 Predicting Bike Rentals Count Using ML And H2O Auto ML/4. Data Analysis and Cleaning -2.mp433.7MB

41. Project-40 Predicting Bike Rentals Count Using ML And H2O Auto ML/5. Data Preprocessing.mp431.15MB

41. Project-40 Predicting Bike Rentals Count Using ML And H2O Auto ML/6. Splitting the Data.mp429.41MB

41. Project-40 Predicting Bike Rentals Count Using ML And H2O Auto ML/7. Model Building and Prediction using ML.mp429.52MB

41. Project-40 Predicting Bike Rentals Count Using ML And H2O Auto ML/8. Model Building and Prediction using H2O Auto ML Library.mp473.36MB

42. Project-41 Concrete Compressive Strength Prediction Using Auto Keras (Auto ML)/1. Introduction to the Project.mp417.84MB

42. Project-41 Concrete Compressive Strength Prediction Using Auto Keras (Auto ML)/2. Importing Libraries and DataSet.mp420.94MB

42. Project-41 Concrete Compressive Strength Prediction Using Auto Keras (Auto ML)/3. Data Analysis.mp472.38MB

42. Project-41 Concrete Compressive Strength Prediction Using Auto Keras (Auto ML)/4. Feature Engineering.mp436.41MB

42. Project-41 Concrete Compressive Strength Prediction Using Auto Keras (Auto ML)/5. Model Building and Prediction using Deep Learning.mp446.72MB

42. Project-41 Concrete Compressive Strength Prediction Using Auto Keras (Auto ML)/6. Model Building and Prediction using Auto Keras(Auto ML).mp470.31MB

43. Project-42 Bangalore House Price Prediction Using Auto SK Learn (Auto ML)/1. Introduction to the Project.mp417.38MB

43. Project-42 Bangalore House Price Prediction Using Auto SK Learn (Auto ML)/2. Importing Libraries and DataSet.mp419.63MB

43. Project-42 Bangalore House Price Prediction Using Auto SK Learn (Auto ML)/3. Data Analysis and Feature Engineering.mp444.33MB

43. Project-42 Bangalore House Price Prediction Using Auto SK Learn (Auto ML)/4. Data Preprocessing 1.mp452.99MB

43. Project-42 Bangalore House Price Prediction Using Auto SK Learn (Auto ML)/5. Data Preprocessing 2.mp430.35MB

43. Project-42 Bangalore House Price Prediction Using Auto SK Learn (Auto ML)/6. Model Building and Prediction using ML.mp434.55MB

43. Project-42 Bangalore House Price Prediction Using Auto SK Learn (Auto ML)/7. Model Building and Prediction using Auto SK Learn(Auto ML).mp456.34MB

44. Project-43 Hospital Mortality Prediction Using PyCaret (Auto ML)/1. Introduction to the Project.mp424.26MB

44. Project-43 Hospital Mortality Prediction Using PyCaret (Auto ML)/2. Importing Libraries and DataSet.mp424.42MB

44. Project-43 Hospital Mortality Prediction Using PyCaret (Auto ML)/3. Model Building using ML.mp424.43MB

44. Project-43 Hospital Mortality Prediction Using PyCaret (Auto ML)/4. Model Building using Auto ML(PyCaret).mp482.68MB

45. Project-44 Employee Evaluation For Promotion Using ML And Eval Auto ML/1. Introduction to the Project.mp415.36MB

45. Project-44 Employee Evaluation For Promotion Using ML And Eval Auto ML/2. Importing Libraries and DataSet.mp419.54MB

45. Project-44 Employee Evaluation For Promotion Using ML And Eval Auto ML/3. Data Analysis and Preprocessing 1.mp475.35MB

45. Project-44 Employee Evaluation For Promotion Using ML And Eval Auto ML/4. Data Analysis and Preprocessing 2.mp429.02MB

45. Project-44 Employee Evaluation For Promotion Using ML And Eval Auto ML/5. Model Building uisng ML.mp431.92MB

45. Project-44 Employee Evaluation For Promotion Using ML And Eval Auto ML/6. Model Building and Prediction using Eval Auto ML.mp470.77MB

46. Project-45 Drinking Water Potability Prediction Using ML And H2O Auto ML/1. Introduction to the Project.mp420.08MB

46. Project-45 Drinking Water Potability Prediction Using ML And H2O Auto ML/2. Importing Libraries and DataSet.mp422.69MB

46. Project-45 Drinking Water Potability Prediction Using ML And H2O Auto ML/3. Data Analysis.mp464.98MB

46. Project-45 Drinking Water Potability Prediction Using ML And H2O Auto ML/4. Feature Engineering.mp423.76MB

46. Project-45 Drinking Water Potability Prediction Using ML And H2O Auto ML/5. Model Building using ML.mp431.36MB

46. Project-45 Drinking Water Potability Prediction Using ML And H2O Auto ML/6. Model Building and Prediction using H2O Auto ML.mp473.75MB

47. Project-46 Black Friday Sale Project/1. Importing libraries and data.mp436.44MB

47. Project-46 Black Friday Sale Project/2. Understanding data.mp437.54MB

47. Project-46 Black Friday Sale Project/3. Data visualization and data preprocessing.mp4108.91MB

47. Project-46 Black Friday Sale Project/4. Model building part1.mp449.29MB

47. Project-46 Black Friday Sale Project/5. Model building part2.mp458.83MB

48. Project-47 Sentiment Analysis Project/1. Importing libraries and data.mp465.17MB

48. Project-47 Sentiment Analysis Project/2. Text normalization.mp474.88MB

48. Project-47 Sentiment Analysis Project/3. Lemmatization.mp445.35MB

48. Project-47 Sentiment Analysis Project/4. Data preprocessing.mp4103.58MB

48. Project-47 Sentiment Analysis Project/5. Model Building.mp487.13MB

49. Project-48 Parkinson’s Disease Prediction Project/1. Importing libraries and data.mp439.74MB

49. Project-48 Parkinson’s Disease Prediction Project/2. Understanding the data.mp473.37MB

49. Project-48 Parkinson’s Disease Prediction Project/3. data visualization.mp454.97MB

49. Project-48 Parkinson’s Disease Prediction Project/4. Model building part 1.mp474.58MB

49. Project-48 Parkinson’s Disease Prediction Project/5. Model building part 2.mp4104.89MB

5. Project-4 Traffic sign classification/1. Introduction to traffic sign classification.mp430.83MB

5. Project-4 Traffic sign classification/2. Importing the data and libraries.mp457.46MB

5. Project-4 Traffic sign classification/3. Image processing.mp444.98MB

5. Project-4 Traffic sign classification/4. Creating and testing the model.mp462.08MB

5. Project-4 Traffic sign classification/5. Creating model for test set.mp447.41MB

50. Project-49 Fake News Classifier Project/1. Importing libraries and data.mp432.13MB

50. Project-49 Fake News Classifier Project/2. data preprocessing.mp440.75MB

50. Project-49 Fake News Classifier Project/3. Text cleaning.mp461MB

50. Project-49 Fake News Classifier Project/4. Vectorizer.mp418.56MB

50. Project-49 Fake News Classifier Project/5. Model Building.mp4101.91MB

51. Project-50 Toxic Comment Classifier Project/1. Importing libraries and data.mp447.83MB

51. Project-50 Toxic Comment Classifier Project/2. Understanding data.mp431.92MB

51. Project-50 Toxic Comment Classifier Project/3. data visualization and preprocessing.mp480.54MB

51. Project-50 Toxic Comment Classifier Project/4. Balancing the target column.mp451.51MB

51. Project-50 Toxic Comment Classifier Project/5. Model building.mp475.52MB

51. Project-50 Toxic Comment Classifier Project/6. Model evaluation.mp444.55MB

52. Project-51 Language Translator App Using IBM Cloud Service -Deploy On Heroku/1. Introduction.mp427.08MB

52. Project-51 Language Translator App Using IBM Cloud Service -Deploy On Heroku/2. Setting Service.mp421.58MB

52. Project-51 Language Translator App Using IBM Cloud Service -Deploy On Heroku/3. Integrating Service.mp496.57MB

52. Project-51 Language Translator App Using IBM Cloud Service -Deploy On Heroku/4. Coding the UI.mp4127.83MB

52. Project-51 Language Translator App Using IBM Cloud Service -Deploy On Heroku/5. Deployment on Heroku.mp4105.31MB

53. Project-52 Predict Views On Advertisement Using IBM Watson -Deploy On Heroku/1. Project Overview.mp413.51MB

53. Project-52 Predict Views On Advertisement Using IBM Watson -Deploy On Heroku/2. Introduction.mp440.35MB

53. Project-52 Predict Views On Advertisement Using IBM Watson -Deploy On Heroku/3. Setting up Watson Studio Part-1.mp471.37MB

53. Project-52 Predict Views On Advertisement Using IBM Watson -Deploy On Heroku/4. Setting up Watson Studio Part-2.mp478.39MB

53. Project-52 Predict Views On Advertisement Using IBM Watson -Deploy On Heroku/5. Deploying the Model on Deployment Center.mp442.43MB

53. Project-52 Predict Views On Advertisement Using IBM Watson -Deploy On Heroku/6. Integrating Watson Service with UI.mp4123.66MB

53. Project-52 Predict Views On Advertisement Using IBM Watson -Deploy On Heroku/7. Deployment on Heroku Cloud.mp4131.4MB

54. Project-53 Laptop Price Predictor -Deploy On Heroku/1. Overview.mp424.13MB

54. Project-53 Laptop Price Predictor -Deploy On Heroku/10. Model Building Part-2.mp4105.16MB

54. Project-53 Laptop Price Predictor -Deploy On Heroku/11. Model Building Part-3.mp4170.88MB

54. Project-53 Laptop Price Predictor -Deploy On Heroku/12. Model Building Part-4.mp495.68MB

54. Project-53 Laptop Price Predictor -Deploy On Heroku/13. Model Building Part-5.mp419.11MB

54. Project-53 Laptop Price Predictor -Deploy On Heroku/14. Integrating with UI.mp4127.99MB

54. Project-53 Laptop Price Predictor -Deploy On Heroku/15. Deployment on Heroku.mp474.62MB

54. Project-53 Laptop Price Predictor -Deploy On Heroku/2. EDA Part-1.mp450.48MB

54. Project-53 Laptop Price Predictor -Deploy On Heroku/3. EDA Part-2.mp498.1MB

54. Project-53 Laptop Price Predictor -Deploy On Heroku/4. EDA Part-3.mp498.7MB

54. Project-53 Laptop Price Predictor -Deploy On Heroku/5. EDA Part-4.mp4105.4MB

54. Project-53 Laptop Price Predictor -Deploy On Heroku/6. EDA Part-5.mp4121.08MB

54. Project-53 Laptop Price Predictor -Deploy On Heroku/7. EDA Part-6.mp4152.67MB

54. Project-53 Laptop Price Predictor -Deploy On Heroku/8. EDA Part-7.mp4114.84MB

54. Project-53 Laptop Price Predictor -Deploy On Heroku/9. Model Building Part-1.mp4156.11MB

55. Project-54 WhatsApp Text Analyzer -Deploy On Heroku/1. Introduction.mp455.02MB

55. Project-54 WhatsApp Text Analyzer -Deploy On Heroku/10. Text Analytics Part 3.mp4112.23MB

55. Project-54 WhatsApp Text Analyzer -Deploy On Heroku/11. Text Analytics Part 4.mp4129.56MB

55. Project-54 WhatsApp Text Analyzer -Deploy On Heroku/12. Text Analytics Part 5.mp4109.3MB

55. Project-54 WhatsApp Text Analyzer -Deploy On Heroku/13. Text Analytics Part 6.mp486.33MB

55. Project-54 WhatsApp Text Analyzer -Deploy On Heroku/14. Deployment on Heroku Cloud.mp4105.14MB

55. Project-54 WhatsApp Text Analyzer -Deploy On Heroku/2. Fetching Data from Whatsapp.mp425.73MB

55. Project-54 WhatsApp Text Analyzer -Deploy On Heroku/3. Project Structure.mp465.74MB

55. Project-54 WhatsApp Text Analyzer -Deploy On Heroku/4. Text Processing Part 1.mp4119.08MB

55. Project-54 WhatsApp Text Analyzer -Deploy On Heroku/5. Text Processing Part2.mp4138.33MB

55. Project-54 WhatsApp Text Analyzer -Deploy On Heroku/6. Text Processing Part 3.mp457.96MB

55. Project-54 WhatsApp Text Analyzer -Deploy On Heroku/7. Text Processing Part 4.mp4155.37MB

55. Project-54 WhatsApp Text Analyzer -Deploy On Heroku/8. Text Analytics Part 1.mp4124.72MB

55. Project-54 WhatsApp Text Analyzer -Deploy On Heroku/9. Text Analytics Part 2.mp4106.35MB

56. Project-55 Course Recommendation System -Deploy On Heroku/1. Introduction.mp435.15MB

56. Project-55 Course Recommendation System -Deploy On Heroku/2. Coding Recommendation System.mp4119.3MB

56. Project-55 Course Recommendation System -Deploy On Heroku/3. Integrating with Flask Server.mp4165.59MB

56. Project-55 Course Recommendation System -Deploy On Heroku/4. Exploratory Data Analysis.mp493.43MB

56. Project-55 Course Recommendation System -Deploy On Heroku/5. Integrating Python Code with JavaScript.mp4108.9MB

56. Project-55 Course Recommendation System -Deploy On Heroku/6. Deployment on Heroku Cloud.mp468.66MB

57. Project-56 IPL Match Win Predictor -Deploy On Heroku/1. Introduction.mp425.63MB

57. Project-56 IPL Match Win Predictor -Deploy On Heroku/2. EDA Part 1.mp4123.23MB

57. Project-56 IPL Match Win Predictor -Deploy On Heroku/3. EDA Part 2.mp478.67MB

57. Project-56 IPL Match Win Predictor -Deploy On Heroku/4. EDA Part 3.mp4131.09MB

57. Project-56 IPL Match Win Predictor -Deploy On Heroku/5. EDA Part 4.mp486.16MB

57. Project-56 IPL Match Win Predictor -Deploy On Heroku/6. Model Building.mp4125.32MB

57. Project-56 IPL Match Win Predictor -Deploy On Heroku/7. Coding the UI.mp499.65MB

57. Project-56 IPL Match Win Predictor -Deploy On Heroku/8. Deployment on Heroku Cloud.mp4127.69MB

58. Project-57 Body Fat Estimator App -Deploy On Microsoft Azure/1. Introduction.mp437.77MB

58. Project-57 Body Fat Estimator App -Deploy On Microsoft Azure/10. Model Deployment on Azure Part 1.mp4141.51MB

58. Project-57 Body Fat Estimator App -Deploy On Microsoft Azure/11. Model Deployment on Azure Part 2.mp439.67MB

58. Project-57 Body Fat Estimator App -Deploy On Microsoft Azure/2. EDA Part 1.mp494.71MB

58. Project-57 Body Fat Estimator App -Deploy On Microsoft Azure/3. EDA Part 2.mp493.67MB

58. Project-57 Body Fat Estimator App -Deploy On Microsoft Azure/4. Feature Selection Part 1.mp4106.78MB

58. Project-57 Body Fat Estimator App -Deploy On Microsoft Azure/5. Feature Selection Part 2.mp456.91MB

58. Project-57 Body Fat Estimator App -Deploy On Microsoft Azure/6. Model Building.mp470.94MB

58. Project-57 Body Fat Estimator App -Deploy On Microsoft Azure/7. Model Evaluation.mp469.04MB

58. Project-57 Body Fat Estimator App -Deploy On Microsoft Azure/8. Coding the UI Part 1.mp4109.79MB

58. Project-57 Body Fat Estimator App -Deploy On Microsoft Azure/9. Coding the UI Part 2.mp4129.69MB

59. Project-58 Campus Placement Predictor App -Deploy On Microsoft Azure/1. Introduction.mp440.07MB

59. Project-58 Campus Placement Predictor App -Deploy On Microsoft Azure/10. Coding the UI Part 3.mp4147.92MB

59. Project-58 Campus Placement Predictor App -Deploy On Microsoft Azure/11. Deployment Part 1.mp4145.39MB

59. Project-58 Campus Placement Predictor App -Deploy On Microsoft Azure/12. Deployment Part 2.mp424.83MB

59. Project-58 Campus Placement Predictor App -Deploy On Microsoft Azure/2. Data Preprocessing.mp497.28MB

59. Project-58 Campus Placement Predictor App -Deploy On Microsoft Azure/3. EDA Part 1.mp4121.04MB

59. Project-58 Campus Placement Predictor App -Deploy On Microsoft Azure/4. EDA Part 2.mp468.13MB

59. Project-58 Campus Placement Predictor App -Deploy On Microsoft Azure/5. Feature Selection.mp4132.27MB

59. Project-58 Campus Placement Predictor App -Deploy On Microsoft Azure/6. Model Building.mp457.35MB

59. Project-58 Campus Placement Predictor App -Deploy On Microsoft Azure/7. Hyper Parameter Tuning, Model Testing.mp4152.94MB

59. Project-58 Campus Placement Predictor App -Deploy On Microsoft Azure/8. Coding the UI Part 1.mp457.87MB

59. Project-58 Campus Placement Predictor App -Deploy On Microsoft Azure/9. Coding the UI Part 2.mp4115.01MB

6. Project-5 Project on text extraction from images/1. Introduction to text extraction.mp418.5MB

6. Project-5 Project on text extraction from images/2. Importing libraries and data.mp433.93MB

6. Project-5 Project on text extraction from images/3. Extracting the test from image.mp440.66MB

6. Project-5 Project on text extraction from images/4. Modifying the extractor.mp469.92MB

6. Project-5 Project on text extraction from images/5. Creating the extractor app.mp438.61MB

6. Project-5 Project on text extraction from images/6. Running the extractor app.mp414.84MB

60. Project-59 Car Acceptability Predictor -Deploy On Google Cloud/1. Introduction.mp453.14MB

60. Project-59 Car Acceptability Predictor -Deploy On Google Cloud/2. Data Preprocessing.mp4120.84MB

60. Project-59 Car Acceptability Predictor -Deploy On Google Cloud/3. Model Building.mp488.48MB

60. Project-59 Car Acceptability Predictor -Deploy On Google Cloud/4. Coding the UI.mp4145.99MB

60. Project-59 Car Acceptability Predictor -Deploy On Google Cloud/5. Integrating Jinja Framework.mp4134.11MB

60. Project-59 Car Acceptability Predictor -Deploy On Google Cloud/6. Integrating JavaScript with Flask.mp486.15MB

60. Project-59 Car Acceptability Predictor -Deploy On Google Cloud/7. Deployment on Google Cloud Platform -GCP.mp4165.28MB

61. Project-60 Book Genre Classification App -Deploy On Amazon Web Services/1. Introduction.mp444.13MB

61. Project-60 Book Genre Classification App -Deploy On Amazon Web Services/2. Text Processing Part1.mp4126.93MB

61. Project-60 Book Genre Classification App -Deploy On Amazon Web Services/3. Text Processing Part2.mp4110.52MB

61. Project-60 Book Genre Classification App -Deploy On Amazon Web Services/4. Model Building.mp494.69MB

61. Project-60 Book Genre Classification App -Deploy On Amazon Web Services/5. Model Testing.mp460.25MB

61. Project-60 Book Genre Classification App -Deploy On Amazon Web Services/6. Integrating Model with Flask.mp4129.29MB

61. Project-60 Book Genre Classification App -Deploy On Amazon Web Services/7. Touch points on Amazon Web Services -AWS.mp474.59MB

61. Project-60 Book Genre Classification App -Deploy On Amazon Web Services/8. Deploying model on AWS EC2 instance.mp4301.19MB

61. Project-60 Book Genre Classification App -Deploy On Amazon Web Services/9. Fixing the Errors.mp433.98MB

7. Project-6 Plant Disease Prediction Streamlit App/1. Introduction.mp435.09MB

7. Project-6 Plant Disease Prediction Streamlit App/2. Importing libraries and data.mp431.75MB

7. Project-6 Plant Disease Prediction Streamlit App/3. Understanding the data and data preprocessing.mp449.87MB

7. Project-6 Plant Disease Prediction Streamlit App/4. Model building.mp476.8MB

7. Project-6 Plant Disease Prediction Streamlit App/5. Creating an app using streamlit.mp451.26MB

8. Project-7 Vehicle Detection And Counting Flask App/1. Introduction.mp425.78MB

8. Project-7 Vehicle Detection And Counting Flask App/2. Importing libraries and data.mp422.4MB

8. Project-7 Vehicle Detection And Counting Flask App/3. Transforming Images and creating output.mp499.15MB

8. Project-7 Vehicle Detection And Counting Flask App/4. Creating a flask App.mp483.95MB

9. Project-8 Create A Face Swapping Flask App/1. Introduction.mp420.39MB

9. Project-8 Create A Face Swapping Flask App/2. Importing libraries and data.mp436.17MB

9. Project-8 Create A Face Swapping Flask App/3. Data preprocessing and creating output.mp4127.55MB

9. Project-8 Create A Face Swapping Flask App/4. Creating A Flask App.mp478.48MB