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种子名称： GetFreeCourses.Co-Udemy-Ultimate Data Science Bootcamp Build 50 Real Time Projects
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GetFreeCourses.Co-Udemy-Ultimate Data Science Bootcamp Build 50 Real Time Projects.torrent

1. Introduction To The Course/1. Introduction To The Course.mp433.02MB

1. Introduction To The Course/2. Course Outline.mp4101.43MB

1. Introduction To The Course/3. Course Review Request.mp42.04MB

10. Project-9 Bird Species Prediction Flask App/1. Introduction to Bird Species Prediction.mp421.44MB

10. Project-9 Bird Species Prediction Flask App/2. Importing Libraries And Data.mp457.47MB

10. Project-9 Bird Species Prediction Flask App/3. Data preprocessing.mp430.91MB

10. Project-9 Bird Species Prediction Flask App/4. Creating ML Model.mp494.27MB

10. Project-9 Bird Species Prediction Flask App/5. Creating A Flask APP.mp471.97MB

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

11. Project-10 Intel Image Classification Flask App/2. Importing and processing data.mp465.81MB

11. Project-10 Intel Image Classification Flask App/3. Creating a Model.mp488.32MB

11. Project-10 Intel Image Classification Flask App/4. Creating a Flask App.mp459.45MB

12. Project-11 Language Translator App Using IBM Cloud Service -Deploy On Heroku/1. Introduction - Language Translator App Using IBM Cloud Service -Deploy On Heroku.mp427.09MB

12. Project-11 Language Translator App Using IBM Cloud Service -Deploy On Heroku/2. Setting Service.mp421.58MB

12. Project-11 Language Translator App Using IBM Cloud Service -Deploy On Heroku/3. Integrating Service.mp496.58MB

12. Project-11 Language Translator App Using IBM Cloud Service -Deploy On Heroku/4. Coding the UI.mp4127.77MB

12. Project-11 Language Translator App Using IBM Cloud Service -Deploy On Heroku/5. Deployment on Heroku.mp4105.26MB

13. Project-12 Predict Views On Advertisement Using IBM Watson -Deploy On Heroku/1. Project Overview.mp413.52MB

13. Project-12 Predict Views On Advertisement Using IBM Watson -Deploy On Heroku/2. Introduction.mp440.36MB

13. Project-12 Predict Views On Advertisement Using IBM Watson -Deploy On Heroku/3. Setting up Watson Studio Part-1.mp471.36MB

13. Project-12 Predict Views On Advertisement Using IBM Watson -Deploy On Heroku/4. Setting up Watson Studio Part-2.mp478.34MB

13. Project-12 Predict Views On Advertisement Using IBM Watson -Deploy On Heroku/5. Deploying the Model on Deployment Center.mp442.43MB

13. Project-12 Predict Views On Advertisement Using IBM Watson -Deploy On Heroku/6. Integrating Watson Service with UI.mp4123.59MB

13. Project-12 Predict Views On Advertisement Using IBM Watson -Deploy On Heroku/7. Deployment on Heroku Cloud.mp4131.42MB

14. Project-13 Laptop Price Predictor -Deploy On Heroku/1. Overview - Laptop Price Predictor -Deploy On Heroku.mp424.15MB

14. Project-13 Laptop Price Predictor -Deploy On Heroku/10. Model Building Part-2.mp4105.11MB

14. Project-13 Laptop Price Predictor -Deploy On Heroku/11. Model Building Part-3.mp4170.92MB

14. Project-13 Laptop Price Predictor -Deploy On Heroku/12. Model Building Part-4.mp495.73MB

14. Project-13 Laptop Price Predictor -Deploy On Heroku/13. Model Building Part-5.mp419.05MB

14. Project-13 Laptop Price Predictor -Deploy On Heroku/14. Integrating with UI.mp4128.04MB

14. Project-13 Laptop Price Predictor -Deploy On Heroku/15. Deployment on Heroku.mp474.6MB

14. Project-13 Laptop Price Predictor -Deploy On Heroku/2. EDA Part-1.mp450.44MB

14. Project-13 Laptop Price Predictor -Deploy On Heroku/3. EDA Part-2.mp498.12MB

14. Project-13 Laptop Price Predictor -Deploy On Heroku/4. EDA Part-3.mp498.63MB

14. Project-13 Laptop Price Predictor -Deploy On Heroku/5. EDA Part-4.mp4105.36MB

14. Project-13 Laptop Price Predictor -Deploy On Heroku/6. EDA Part-5.mp4121.14MB

14. Project-13 Laptop Price Predictor -Deploy On Heroku/7. EDA Part-6.mp4152.62MB

14. Project-13 Laptop Price Predictor -Deploy On Heroku/8. EDA Part-7.mp4114.81MB

14. Project-13 Laptop Price Predictor -Deploy On Heroku/9. Model Building Part-1.mp4156.04MB

15. Project-14 WhatsApp Text Analyzer -Deploy On Heroku/1. Introduction -WhatsApp Text Analyzer -Deploy On Heroku.mp454.98MB

15. Project-14 WhatsApp Text Analyzer -Deploy On Heroku/10. Text Analytics Part 3.mp4112.2MB

15. Project-14 WhatsApp Text Analyzer -Deploy On Heroku/11. Text Analytics Part 4.mp4129.47MB

15. Project-14 WhatsApp Text Analyzer -Deploy On Heroku/12. Text Analytics Part 5.mp4109.26MB

15. Project-14 WhatsApp Text Analyzer -Deploy On Heroku/13. Text Analytics Part 6.mp486.36MB

15. Project-14 WhatsApp Text Analyzer -Deploy On Heroku/14. Deployment on Heroku Cloud.mp4105.11MB

15. Project-14 WhatsApp Text Analyzer -Deploy On Heroku/2. Fetching Data from WhatsApp.mp425.75MB

15. Project-14 WhatsApp Text Analyzer -Deploy On Heroku/3. Project Structure.mp465.74MB

15. Project-14 WhatsApp Text Analyzer -Deploy On Heroku/4. Text Processing Part 1.mp4119.1MB

15. Project-14 WhatsApp Text Analyzer -Deploy On Heroku/5. Text Processing Part 2.mp4138.33MB

15. Project-14 WhatsApp Text Analyzer -Deploy On Heroku/6. Text Processing Part 3.mp458.03MB

15. Project-14 WhatsApp Text Analyzer -Deploy On Heroku/7. Text Processing Part 4.mp4155.28MB

15. Project-14 WhatsApp Text Analyzer -Deploy On Heroku/8. Text Analytics Part 1.mp4124.75MB

15. Project-14 WhatsApp Text Analyzer -Deploy On Heroku/9. Text Analytics Part 2.mp4106.44MB

16. Project-15 Course Recommendation System -Deploy On Heroku/1. Introduction.mp435.07MB

16. Project-15 Course Recommendation System -Deploy On Heroku/2. Coding Recommendation System.mp4119.38MB

16. Project-15 Course Recommendation System -Deploy On Heroku/3. Integrating with Flask Server.mp4165.6MB

16. Project-15 Course Recommendation System -Deploy On Heroku/4. Exploratory Data Analysis.mp493.33MB

16. Project-15 Course Recommendation System -Deploy On Heroku/5. Integrating Python Code with JavaScript.mp4108.96MB

16. Project-15 Course Recommendation System -Deploy On Heroku/6. Deployment on Heroku Cloud_Trim.mp468.65MB

17. Project-16 IPL Match Win Predictor -Deploy On Heroku/1. Introduction.mp425.62MB

17. Project-16 IPL Match Win Predictor -Deploy On Heroku/2. EDA Part 1.mp4123.19MB

17. Project-16 IPL Match Win Predictor -Deploy On Heroku/3. EDA Part 2.mp478.66MB

17. Project-16 IPL Match Win Predictor -Deploy On Heroku/4. EDA Part 3.mp4131.12MB

17. Project-16 IPL Match Win Predictor -Deploy On Heroku/5. EDA Part 4.mp486.17MB

17. Project-16 IPL Match Win Predictor -Deploy On Heroku/6. Model Building.mp4125.22MB

17. Project-16 IPL Match Win Predictor -Deploy On Heroku/7. Coding the UI.mp499.57MB

17. Project-16 IPL Match Win Predictor -Deploy On Heroku/8. Deployment on Heroku Cloud.mp4127.7MB

18. Project-17 Body Fat Estimator App -Deploy On Microsoft Azure/1. Introduction -Body Fat Estimator App -Deploy On Microsoft Azure.mp437.79MB

18. Project-17 Body Fat Estimator App -Deploy On Microsoft Azure/10. Model Deployment on Azure Part 1.mp4141.52MB

18. Project-17 Body Fat Estimator App -Deploy On Microsoft Azure/11. Model Deployment on Azure Part 2.mp439.61MB

18. Project-17 Body Fat Estimator App -Deploy On Microsoft Azure/2. EDA Part 1.mp494.73MB

18. Project-17 Body Fat Estimator App -Deploy On Microsoft Azure/3. EDA Part 2.mp493.69MB

18. Project-17 Body Fat Estimator App -Deploy On Microsoft Azure/4. Feature Selection Part 1.mp4106.78MB

18. Project-17 Body Fat Estimator App -Deploy On Microsoft Azure/5. Feature Selection Part 2.mp456.94MB

18. Project-17 Body Fat Estimator App -Deploy On Microsoft Azure/6. Model Building.mp470.87MB

18. Project-17 Body Fat Estimator App -Deploy On Microsoft Azure/7. Model Evaluation.mp469.01MB

18. Project-17 Body Fat Estimator App -Deploy On Microsoft Azure/8. Coding the UI Part 1.mp4109.86MB

18. Project-17 Body Fat Estimator App -Deploy On Microsoft Azure/9. Coding the UI Part 2.mp4129.61MB

19. Project-18 Campus Placement Predictor App -Deploy On Microsoft Azure/1. Introduction.mp440.06MB

19. Project-18 Campus Placement Predictor App -Deploy On Microsoft Azure/10. Coding the UI Part 3.mp4147.89MB

19. Project-18 Campus Placement Predictor App -Deploy On Microsoft Azure/11. Deployment Part 1.mp4145.49MB

19. Project-18 Campus Placement Predictor App -Deploy On Microsoft Azure/12. Deployment Part 2.mp424.92MB

19. Project-18 Campus Placement Predictor App -Deploy On Microsoft Azure/2. Data Preprocessing.mp497.31MB

19. Project-18 Campus Placement Predictor App -Deploy On Microsoft Azure/3. EDA Part 1.mp4121.05MB

19. Project-18 Campus Placement Predictor App -Deploy On Microsoft Azure/4. EDA Part 2.mp468.15MB

19. Project-18 Campus Placement Predictor App -Deploy On Microsoft Azure/5. Feature Selection.mp4132.23MB

19. Project-18 Campus Placement Predictor App -Deploy On Microsoft Azure/6. Model Building.mp457.34MB

19. Project-18 Campus Placement Predictor App -Deploy On Microsoft Azure/7. Hyper Parameter Tuning, Model Testing.mp4152.87MB

19. Project-18 Campus Placement Predictor App -Deploy On Microsoft Azure/8. Coding the UI Part 1.mp457.91MB

19. Project-18 Campus Placement Predictor App -Deploy On Microsoft Azure/9. Coding the UI Part 2.mp4115.1MB

2. Project-1 Pan Card Tempering Detector App -Deploy On Heroku/1. Introduction To Pan Card Tempering Detector.mp416.18MB

2. Project-1 Pan Card Tempering Detector App -Deploy On Heroku/2. Loading libraries and dataset.mp431.5MB

2. Project-1 Pan Card Tempering Detector App -Deploy On Heroku/3. Creating the pan card detector with OpenCV.mp4106.93MB

2. Project-1 Pan Card Tempering Detector App -Deploy On Heroku/4. Creating the Flask App.mp414.94MB

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.mp439.04MB

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

20. Project-19 Car Acceptability Predictor -Deploy On Google Cloud/1. Introduction -Car Acceptability Predictor -Deploy On Google Cloud.mp453.15MB

20. Project-19 Car Acceptability Predictor -Deploy On Google Cloud/2. Data Preprocessing.mp4120.87MB

20. Project-19 Car Acceptability Predictor -Deploy On Google Cloud/3. Model Building.mp488.42MB

20. Project-19 Car Acceptability Predictor -Deploy On Google Cloud/4. Coding the UI.mp4146.03MB

20. Project-19 Car Acceptability Predictor -Deploy On Google Cloud/5. Integrating Jinja Framework.mp4134.19MB

20. Project-19 Car Acceptability Predictor -Deploy On Google Cloud/6. Integrating JavaScript with Flask.mp486.07MB

20. Project-19 Car Acceptability Predictor -Deploy On Google Cloud/7. Deployment on GCP.mp4165.27MB

21. Project-20 Book Genre Classification App -Deploy On Amazon Web Services/1. Introduction - Book Genre Classification App -Deploy On Amazon Web Services.mp444.15MB

21. Project-20 Book Genre Classification App -Deploy On Amazon Web Services/2. Text Processing Part 1.mp4126.8MB

21. Project-20 Book Genre Classification App -Deploy On Amazon Web Services/3. Text Processing Part 2.mp4110.39MB

21. Project-20 Book Genre Classification App -Deploy On Amazon Web Services/4. Model Building.mp494.58MB

21. Project-20 Book Genre Classification App -Deploy On Amazon Web Services/5. Model Testing.mp460.28MB

21. Project-20 Book Genre Classification App -Deploy On Amazon Web Services/6. Integrating Model with Flask.mp4129.34MB

21. Project-20 Book Genre Classification App -Deploy On Amazon Web Services/7. Touch points on AWS.mp474.61MB

21. Project-20 Book Genre Classification App -Deploy On Amazon Web Services/8. Deploying model on AWS EC2 instance.mp4301.12MB

21. Project-20 Book Genre Classification App -Deploy On Amazon Web Services/9. Fixing the Errors.mp433.94MB

22. Project-21 Sentiment Analysis Django App -Deploy On Heroku/1. Introduction to Sentiment Analysis Logistic Regression.mp49.16MB

22. Project-21 Sentiment Analysis Django App -Deploy On Heroku/2. Project Notebook Google Colab.mp4140.78MB

22. Project-21 Sentiment Analysis Django App -Deploy On Heroku/3. Building Django App.mp471.96MB

22. Project-21 Sentiment Analysis Django App -Deploy On Heroku/4. Deploying APP in Heroku.mp479.13MB

23. Project-22 Attrition Rate Django Application/1. Introduction -Attrition Rate Django.mp49.25MB

23. Project-22 Attrition Rate Django Application/2. Creating Colab Notebook.mp4213.79MB

23. Project-22 Attrition Rate Django Application/3. Creating Django App.mp485.07MB

23. Project-22 Attrition Rate Django Application/4. Deploying APP in heroku.mp460.49MB

24. Project-23 Find Legendary Pokemon Django App -Deploy On Heroku/1. Introduction -Working with Pokemon Dataset.mp410.3MB

24. Project-23 Find Legendary Pokemon Django App -Deploy On Heroku/2. Creating Colab Notebook.mp4177.2MB

24. Project-23 Find Legendary Pokemon Django App -Deploy On Heroku/3. Creating Django APP.mp4108.2MB

24. Project-23 Find Legendary Pokemon Django App -Deploy On Heroku/4. Deploying APP in heroku.mp462.22MB

25. Project-24 Face Detection Streamlit App/1. Introduction to face app intro.mp411.39MB

25. Project-24 Face Detection Streamlit App/2. Creating The Face App Using OpenCV.mp4103.69MB

25. Project-24 Face Detection Streamlit App/3. Creating The face app opencv.mp465.71MB

25. Project-24 Face Detection Streamlit App/4. Creating The face app opencv.mp494.19MB

26. Project-25 Cats Vs Dogs Classification Flask App/1. Introduction To Cats Vs Dogs Classification.mp413.17MB

26. Project-25 Cats Vs Dogs Classification Flask App/2. Creating Project Notebook.mp4244.29MB

26. Project-25 Cats Vs Dogs Classification Flask App/3. Building Model.mp474.73MB

26. Project-25 Cats Vs Dogs Classification Flask App/4. Building Flask App.mp451.88MB

26. Project-25 Cats Vs Dogs Classification Flask App/5. Building Flask App Deployment.mp465.81MB

27. Project-26 Customer Revenue Prediction App -Deploy On Heroku/1. Introduction To Customer Revenue Prediction.mp413.29MB

27. Project-26 Customer Revenue Prediction App -Deploy On Heroku/2. Colab Notebook.mp4201.6MB

27. Project-26 Customer Revenue Prediction App -Deploy On Heroku/3. Creating Flask App.mp4117.99MB

27. Project-26 Customer Revenue Prediction App -Deploy On Heroku/4. Deploying Flask App.mp466.5MB

28. Project-27 Gender From Voice Prediction App -Deploy On Heroku/1. Introduction.mp410.54MB

28. Project-27 Gender From Voice Prediction App -Deploy On Heroku/2. Creating Project Notebook.mp4242.93MB

28. Project-27 Gender From Voice Prediction App -Deploy On Heroku/3. Creating Project App Django.mp4106.68MB

28. Project-27 Gender From Voice Prediction App -Deploy On Heroku/4. Deploying The App-Gender From Voice Prediction.mp461.1MB

29. Project-28 Restaurant Recommendation System/1. Introduction To - Restaurant Recommendation System.mp421.29MB

29. Project-28 Restaurant Recommendation System/2. Creating Colab Notebook.mp4116.64MB

29. Project-28 Restaurant Recommendation System/3. Exploratory Data Analysis.mp485.43MB

29. Project-28 Restaurant Recommendation System/4. Data Analysis 2 - Model Building.mp4242.79MB

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.mp456.8MB

3. Project-2 Dog breed prediction Flask App/3. Data Preprocessing.mp429.97MB

3. Project-2 Dog breed prediction Flask App/4. Build and Train Model.mp473.21MB

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 Happiness Ranking Django App -Deploy On Heroku/1. Introduction to Happiness Ranking.mp416.33MB

30. Project-29 Happiness Ranking Django App -Deploy On Heroku/2. Project Notebook.mp4240.39MB

30. Project-29 Happiness Ranking Django App -Deploy On Heroku/3. Creating Django App.mp4138.31MB

30. Project-29 Happiness Ranking Django App -Deploy On Heroku/4. Deploying Django App.mp459.4MB

31. Project-30 Forest Fire Prediction Django App -Deploy On Heroku/1. Introduction To Forest Fire.mp419.43MB

31. Project-30 Forest Fire Prediction Django App -Deploy On Heroku/2. Project Notebook.mp4207.24MB

31. Project-30 Forest Fire Prediction Django App -Deploy On Heroku/3. Project Notebook Part 2.mp476.38MB

31. Project-30 Forest Fire Prediction Django App -Deploy On Heroku/4. Creating Django APP.mp4117.03MB

31. Project-30 Forest Fire Prediction Django App -Deploy On Heroku/5. Deploying Django App.mp457.62MB

32. Project-31 Build Car Prices Prediction App -Deploy On Heroku/1. Introduction.mp411.99MB

32. Project-31 Build Car Prices Prediction App -Deploy On Heroku/2. Machine Learning model building.mp462.42MB

32. Project-31 Build Car Prices Prediction App -Deploy On Heroku/3. Machine Learning model building part 2.mp4100.87MB

32. Project-31 Build Car Prices Prediction App -Deploy On Heroku/4. Machine Learning model building part 3.mp4110.78MB

32. Project-31 Build Car Prices Prediction App -Deploy On Heroku/5. Creating Django Application part 1.mp476.6MB

32. Project-31 Build Car Prices Prediction App -Deploy On Heroku/6. Creating Django Application part 2.mp466.76MB

32. Project-31 Build Car Prices Prediction App -Deploy On Heroku/7. Deploying on Heroku.mp453.56MB

33. Project-32 Build Affair Count Django App -Deploy On Heroku/1. Introduction.mp414.92MB

33. Project-32 Build Affair Count Django App -Deploy On Heroku/2. Introductory Machine Learning model building.mp495.59MB

33. Project-32 Build Affair Count Django App -Deploy On Heroku/3. Feature Building and Selection.mp4103.35MB

33. Project-32 Build Affair Count Django App -Deploy On Heroku/4. Model Building.mp438.48MB

33. Project-32 Build Affair Count Django App -Deploy On Heroku/5. Django Application Introduction.mp443.02MB

33. Project-32 Build Affair Count Django App -Deploy On Heroku/6. Django Application building.mp4111.42MB

33. Project-32 Build Affair Count Django App -Deploy On Heroku/7. Deploying on Heroku.mp440.42MB

34. Project-33 Build Shrooming Predictions App -Deploy On Heroku/1. Introduction.mp414.22MB

34. Project-33 Build Shrooming Predictions App -Deploy On Heroku/2. Importing libraries and Understanding data.mp4129.57MB

34. Project-33 Build Shrooming Predictions App -Deploy On Heroku/3. Building the model.mp498.64MB

34. Project-33 Build Shrooming Predictions App -Deploy On Heroku/4. Building Django Application.mp4105.99MB

34. Project-33 Build Shrooming Predictions App -Deploy On Heroku/5. Deploying on Heroku.mp458.84MB

35. Project-34 Google Play App Rating prediction With Deployment On Heroku/1. Introduction.mp412.14MB

35. Project-34 Google Play App Rating prediction With Deployment On Heroku/2. Introduction to libraries and dataset.mp4108.78MB

35. Project-34 Google Play App Rating prediction With Deployment On Heroku/3. Preprocessing the data.mp474.9MB

35. Project-34 Google Play App Rating prediction With Deployment On Heroku/4. building the model.mp450.9MB

35. Project-34 Google Play App Rating prediction With Deployment On Heroku/5. Django Application.mp494.86MB

35. Project-34 Google Play App Rating prediction With Deployment On Heroku/6. Deploying to Heroku.mp448.15MB

36. Project-35 Build Bank Customers Predictions Django App -Deploy On Heroku/1. Introduction.mp415.23MB

36. Project-35 Build Bank Customers Predictions Django App -Deploy On Heroku/2. Importing Libraries and understanding data.mp4107.48MB

36. Project-35 Build Bank Customers Predictions Django App -Deploy On Heroku/3. Building and training the model.mp4101.16MB

36. Project-35 Build Bank Customers Predictions Django App -Deploy On Heroku/4. Django Application.mp498.01MB

36. Project-35 Build Bank Customers Predictions Django App -Deploy On Heroku/5. Deploying on Heroku.mp451.51MB

37. Project-36 Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku/1. Introduction.mp415.88MB

37. Project-36 Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku/2. Understanding the data.mp4111.6MB

37. Project-36 Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku/3. Outliers and Model.mp4154.63MB

37. Project-36 Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku/4. Building Django Application.mp4103.16MB

37. Project-36 Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku/5. Deploying to Heroku.mp454.32MB

38. Project-37 Build Medical Cost Predictions Django App -Deploy On Heroku/1. Introduction.mp412.08MB

38. Project-37 Build Medical Cost Predictions Django App -Deploy On Heroku/2. Introduction and handling the data.mp4116.31MB

38. Project-37 Build Medical Cost Predictions Django App -Deploy On Heroku/3. Building the model.mp445.79MB

38. Project-37 Build Medical Cost Predictions Django App -Deploy On Heroku/4. Django Application.mp491.55MB

38. Project-37 Build Medical Cost Predictions Django App -Deploy On Heroku/5. Heroku Deployment.mp445.67MB

39. Project-38 Phishing Webpages Classification Django App -Deploy On Heroku/1. Introduction.mp414.95MB

39. Project-38 Phishing Webpages Classification Django App -Deploy On Heroku/2. Understanding the data.mp4112.47MB

39. Project-38 Phishing Webpages Classification Django App -Deploy On Heroku/3. Feature Selection and model building.mp4109.94MB

39. Project-38 Phishing Webpages Classification Django App -Deploy On Heroku/4. Django Application.mp4107.35MB

39. Project-38 Phishing Webpages Classification Django App -Deploy On Heroku/5. Deploying on Heroku.mp459.2MB

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

4. Project-3 Image Watermarking App -Deploy On Heroku/2. Importing libraries and logo.mp425.13MB

4. Project-3 Image Watermarking App -Deploy On Heroku/3. Create text and image watermark.mp475.92MB

4. Project-3 Image Watermarking App -Deploy On Heroku/4. Creating the app.mp463.34MB

4. Project-3 Image Watermarking App -Deploy On Heroku/5. Deploying the app in heroko.mp430MB

40. Project-39 Clothing Fit-Size predictions Django App -Deploy On Heroku/1. Introduction.mp422.52MB

40. Project-39 Clothing Fit-Size predictions Django App -Deploy On Heroku/2. Understanding the data.mp475.08MB

40. Project-39 Clothing Fit-Size predictions Django App -Deploy On Heroku/3. Cleaning the data.mp4109.29MB

40. Project-39 Clothing Fit-Size predictions Django App -Deploy On Heroku/4. Building the model.mp483.66MB

40. Project-39 Clothing Fit-Size predictions Django App -Deploy On Heroku/5. Implementing Django Application.mp484.67MB

40. Project-39 Clothing Fit-Size predictions Django App -Deploy On Heroku/6. Deploying to heroku.mp452.67MB

41. Project-40 Build Similarity In-Text Django App -Deploy On Heroku/1. Introduction.mp430.63MB

41. Project-40 Build Similarity In-Text Django App -Deploy On Heroku/2. Cleaning the data.mp490.93MB

41. Project-40 Build Similarity In-Text Django App -Deploy On Heroku/3. Building the model.mp4130.72MB

41. Project-40 Build Similarity In-Text Django App -Deploy On Heroku/4. Implementing Django web application.mp4105.28MB

41. Project-40 Build Similarity In-Text Django App -Deploy On Heroku/5. Deploying to Heroku.mp455.22MB

42. Project-41 Heart Attack Risk Prediction Using Eval ML (Auto ML)/1. Introduction to the Project.mp423.74MB

42. Project-41 Heart Attack Risk Prediction Using Eval ML (Auto ML)/2. Importing Libraries and Datasets.mp415.69MB

42. Project-41 Heart Attack Risk Prediction Using Eval ML (Auto ML)/3. Data Analysis.mp456.04MB

42. Project-41 Heart Attack Risk Prediction Using Eval ML (Auto ML)/4. Model Building Part 1.mp446.71MB

42. Project-41 Heart Attack Risk Prediction Using Eval ML (Auto ML)/5. Model Building Part 2.mp433.67MB

42. Project-41 Heart Attack Risk Prediction Using Eval ML (Auto ML)/6. Model building and Predictions using Auto ML(Eval ML).mp461.4MB

43. Project-42 Credit Card Fraud Detection Using Pycaret (Auto ML)/1. Introduction to the Project.mp429.53MB

43. Project-42 Credit Card Fraud Detection Using Pycaret (Auto ML)/2. Importing Libraries and Data Set.mp427.41MB

43. Project-42 Credit Card Fraud Detection Using Pycaret (Auto ML)/3. Data Analysis.mp443.34MB

43. Project-42 Credit Card Fraud Detection Using Pycaret (Auto ML)/4. Model Building using ML.mp458.29MB

43. Project-42 Credit Card Fraud Detection Using Pycaret (Auto ML)/5. Model Building and Prediction using PyCaret(AutoML).mp497.06MB

44. Project-43 Flight Fare Prediction Using Auto SK Learn (Auto ML)/1. Introduction to the Project.mp421.89MB

44. Project-43 Flight Fare Prediction Using Auto SK Learn (Auto ML)/2. Importing Libraries and DataSet.mp445.18MB

44. Project-43 Flight Fare Prediction Using Auto SK Learn (Auto ML)/3. Data Analysis.mp431.68MB

44. Project-43 Flight Fare Prediction Using Auto SK Learn (Auto ML)/4. Feature Engineering.mp443.62MB

44. Project-43 Flight Fare Prediction Using Auto SK Learn (Auto ML)/5. Feature Engineering 2.mp450.68MB

44. Project-43 Flight Fare Prediction Using Auto SK Learn (Auto ML)/6. Feature Selection.mp425.01MB

44. Project-43 Flight Fare Prediction Using Auto SK Learn (Auto ML)/7. Model Building using ML.mp438.48MB

44. Project-43 Flight Fare Prediction Using Auto SK Learn (Auto ML)/8. Model Building and Prediction using Auto SK Learn.mp441.88MB

45. Project-44 Petrol Price Forecasting Using Auto Keras/1. Introduction to the Project.mp430.63MB

45. Project-44 Petrol Price Forecasting Using Auto Keras/2. Importing Libraries and Data Set.mp420.02MB

45. Project-44 Petrol Price Forecasting Using Auto Keras/3. Data Analysis and splitting of Data.mp439.95MB

45. Project-44 Petrol Price Forecasting Using Auto Keras/4. Data Preprocessing.mp436.81MB

45. Project-44 Petrol Price Forecasting Using Auto Keras/5. Model Building and Prediction using LSTM model.mp432.57MB

45. Project-44 Petrol Price Forecasting Using Auto Keras/6. Model Building and prediction using ARIMA and Auto Keras(Auto ML).mp437.52MB

46. Project-45 Bank Customer Churn Prediction Using H2O Auto ML/1. Introduction to the Project.mp433.04MB

46. Project-45 Bank Customer Churn Prediction Using H2O Auto ML/2. Importing Libraries and Data Set.mp425.05MB

46. Project-45 Bank Customer Churn Prediction Using H2O Auto ML/3. Data Analysis.mp465.22MB

46. Project-45 Bank Customer Churn Prediction Using H2O Auto ML/4. Feature Engineering.mp447.36MB

46. Project-45 Bank Customer Churn Prediction Using H2O Auto ML/5. Model Building and Prediction using ANN.mp434.14MB

46. Project-45 Bank Customer Churn Prediction Using H2O Auto ML/6. Model Building and Prediction using H2O Auto ML(Auto ML).mp491.94MB

47. Project-46 Air Quality Index Predictor Using TPOT With End-To-End Deployment (A/1. Introduction to the Project.mp435.4MB

47. Project-46 Air Quality Index Predictor Using TPOT With End-To-End Deployment (A/2. Importing Libraries and Data sets.mp431.04MB

47. Project-46 Air Quality Index Predictor Using TPOT With End-To-End Deployment (A/3. Data Analysis.mp467.73MB

47. Project-46 Air Quality Index Predictor Using TPOT With End-To-End Deployment (A/4. Feature Engineering.mp430.66MB

47. Project-46 Air Quality Index Predictor Using TPOT With End-To-End Deployment (A/5. Model Building using ML- 1.mp469.1MB

47. Project-46 Air Quality Index Predictor Using TPOT With End-To-End Deployment (A/6. Model Building using ML- 2.mp445.15MB

47. Project-46 Air Quality Index Predictor Using TPOT With End-To-End Deployment (A/7. Model Building and Predictions using TPOT Library(AUto ML).mp443.37MB

47. Project-46 Air Quality Index Predictor Using TPOT With End-To-End Deployment (A/8. Deployment of Model using Flask API.mp463.35MB

48. Project-47 Rain Prediction Using ML models & PyCaret With Deployment (Auto ML)/1. Introduction to the Project.mp421.44MB

48. Project-47 Rain Prediction Using ML models & PyCaret With Deployment (Auto ML)/2. Importing Libraries and DataSet.mp445.65MB

48. Project-47 Rain Prediction Using ML models & PyCaret With Deployment (Auto ML)/3. Data Analysis and Handling Missing Values- 1.mp438.33MB

48. Project-47 Rain Prediction Using ML models & PyCaret With Deployment (Auto ML)/4. Data Analysis and Handling Missing Values- 2.mp450.05MB

48. Project-47 Rain Prediction Using ML models & PyCaret With Deployment (Auto ML)/5. Feature Engineering.mp470.46MB

48. Project-47 Rain Prediction Using ML models & PyCaret With Deployment (Auto ML)/6. Model Building using ML Algorithms.mp452.84MB

48. Project-47 Rain Prediction Using ML models & PyCaret With Deployment (Auto ML)/7. Model Building and Prediction using PyCaret(AutoML).mp468.95MB

48. Project-47 Rain Prediction Using ML models & PyCaret With Deployment (Auto ML)/8. Using FLASK API.mp450.78MB

48. Project-47 Rain Prediction Using ML models & PyCaret With Deployment (Auto ML)/9. Deploying model using Heroku.mp433.28MB

49. Project-48 Pizza Price Prediction Using ML And EVALML(Auto ML)/1. Introduction to the project.mp426.01MB

49. Project-48 Pizza Price Prediction Using ML And EVALML(Auto ML)/2. Importing Libraries and DataSet.mp435.08MB

49. Project-48 Pizza Price Prediction Using ML And EVALML(Auto ML)/3. Data Analysis.mp467.32MB

49. Project-48 Pizza Price Prediction Using ML And EVALML(Auto ML)/4. Feature Engineering.mp453.74MB

49. Project-48 Pizza Price Prediction Using ML And EVALML(Auto ML)/5. Model Building using ML models.mp443.4MB

49. Project-48 Pizza Price Prediction Using ML And EVALML(Auto ML)/6. Model Building and Prediction using EVAL ML(Auto ML).mp497.76MB

5. Project-4 Traffic sign classification/1. Introduction to traffic sign classification.mp430.82MB

5. Project-4 Traffic sign classification/2. importing the data and libraries.mp457.44MB

5. Project-4 Traffic sign classification/3. Image processing.mp445.1MB

5. Project-4 Traffic sign classification/4. creating and testing the model.mp462.03MB

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

50. Project-49 IPL Cricket Score Prediction Using TPOT (Auto ML)/1. Introduction to the Project.mp434.44MB

50. Project-49 IPL Cricket Score Prediction Using TPOT (Auto ML)/2. Importing Libraries and DataSet.mp440.79MB

50. Project-49 IPL Cricket Score Prediction Using TPOT (Auto ML)/3. Data Analysis and Cleaning.mp451.97MB

50. Project-49 IPL Cricket Score Prediction Using TPOT (Auto ML)/4. Data Preprocessing.mp456.63MB

50. Project-49 IPL Cricket Score Prediction Using TPOT (Auto ML)/5. Model Building using ML Algorithms.mp459.14MB

50. Project-49 IPL Cricket Score Prediction Using TPOT (Auto ML)/6. Model Building using TPOT Auto ML Library-1.mp444.35MB

50. Project-49 IPL Cricket Score Prediction Using TPOT (Auto ML)/7. Model Building using TPOT Auto ML Library-2.mp426.92MB

51. Project-50 Predicting Bike Rentals Count Using ML And H2O Auto ML/1. Introduction to the Project.mp443.39MB

51. Project-50 Predicting Bike Rentals Count Using ML And H2O Auto ML/2. Importing libraries and DataSet.mp433.96MB

51. Project-50 Predicting Bike Rentals Count Using ML And H2O Auto ML/3. Data Analysis and Cleaning -1.mp468.57MB

51. Project-50 Predicting Bike Rentals Count Using ML And H2O Auto ML/4. Data Analysis and Cleaning -2.mp433.72MB

51. Project-50 Predicting Bike Rentals Count Using ML And H2O Auto ML/5. Data Preprocessing.mp431.17MB

51. Project-50 Predicting Bike Rentals Count Using ML And H2O Auto ML/6. Splitting the Data.mp429.4MB

51. Project-50 Predicting Bike Rentals Count Using ML And H2O Auto ML/7. Model Building and Prediction using ML.mp429.53MB

51. Project-50 Predicting Bike Rentals Count Using ML And H2O Auto ML/8. Model Building and Prediction using H2O Auto ML Library.mp473.42MB

6. Project-5 Text Extraction From Images Application/1. Introduction to text extraction.mp418.52MB

6. Project-5 Text Extraction From Images Application/2. Importing libraries and data.mp433.92MB

6. Project-5 Text Extraction From Images Application/3. Extracting the test from image.mp440.67MB

6. Project-5 Text Extraction From Images Application/4. Modifying the extractor.mp469.92MB

6. Project-5 Text Extraction From Images Application/5. Creating the extractor app.mp438.63MB

6. Project-5 Text Extraction From Images Application/6. Running the extractor app.mp414.85MB

7. Project-6 Plant Disease Prediction Streamlit App/1. Introduction -Plant Disease Prediction Streamlit App.mp435.12MB

7. Project-6 Plant Disease Prediction Streamlit App/2. Importing libraries and data.mp431.74MB

7. Project-6 Plant Disease Prediction Streamlit App/3. Understanding the data and data preprocessing.mp449.76MB

7. Project-6 Plant Disease Prediction Streamlit App/4. Model building.mp476.75MB

7. Project-6 Plant Disease Prediction Streamlit App/5. Creating an app using streamlit.mp451.25MB

8. Project-7 Vehicle Detection And Counting Flask App/1. Introduction.mp425.79MB

8. Project-7 Vehicle Detection And Counting Flask App/2. Importing libraries and data.mp422.45MB

8. Project-7 Vehicle Detection And Counting Flask App/3. Transforming Images and creating output.mp499.09MB

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 -Create A Face Swapping Flask App.mp420.38MB

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.mp4127.48MB

9. Project-8 Create A Face Swapping Flask App/4. Creating A Flask App.mp478.44MB