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[FreeCourseSite.com] Udemy - Data Science Masterclass With R! 4 Projects+8 Case Studies

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种子名称: [FreeCourseSite.com] Udemy - Data Science Masterclass With R! 4 Projects+8 Case Studies
文件类型: 视频
文件数目: 158个文件
文件大小: 17.1 GB
收录时间: 2020-2-17 17:37
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最近下载: 2024-11-12 17:06

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[FreeCourseSite.com] Udemy - Data Science Masterclass With R! 4 Projects+8 Case Studies.torrent
  • 1. Meet Your Instructor/1. Meet Your Instructor.mp420.63MB
  • 10. Introduction To Statistics/1. Intro To Stat - Part 1.mp4113.91MB
  • 10. Introduction To Statistics/11. Intro To Stat - Part 6.mp473.2MB
  • 10. Introduction To Statistics/12. Intro To Stat - Part 7.mp4168.77MB
  • 10. Introduction To Statistics/14. Intro To Stat - Part 8.mp4121.22MB
  • 10. Introduction To Statistics/16. Intro To Stat - Part 9.mp4113.53MB
  • 10. Introduction To Statistics/18. Intro To Stat - Part 10.mp4149.33MB
  • 10. Introduction To Statistics/20. Intro To Stat - Part 11.mp471.95MB
  • 10. Introduction To Statistics/3. Intro To Stat - Part 2.mp475.97MB
  • 10. Introduction To Statistics/5. Intro To Stat - Part 3.mp4132.17MB
  • 10. Introduction To Statistics/7. Intro To Stat - Part 4.mp431.96MB
  • 10. Introduction To Statistics/9. Intro To Stat - Part 5.mp4130.94MB
  • 11. HYPOTHESIS Testing -1/1. Hypothesys Testing - Part 1.mp473.4MB
  • 11. HYPOTHESIS Testing -1/3. Hypothesys Testing - Part 2.mp4112.47MB
  • 11. HYPOTHESIS Testing -1/5. Hypothesys Testing - Part 3.mp4115.43MB
  • 11. HYPOTHESIS Testing -1/6. Hypothesys Testing - Part 4.mp454.41MB
  • 12. Hypothesis Testing in Practice/1. Hypothesys Testing in Practice - Part 1.mp4156.99MB
  • 12. Hypothesis Testing in Practice/10. Chi Square -Part 1.mp4102.67MB
  • 12. Hypothesis Testing in Practice/12. Chi Square -Part 2.mp4133.55MB
  • 12. Hypothesis Testing in Practice/14. ANOVA - Part 1.mp4113.62MB
  • 12. Hypothesis Testing in Practice/16. ANOVA - Part 2.mp4163.06MB
  • 12. Hypothesis Testing in Practice/17. What we discussed in the chapter so far - Summary of the Chapter.mp452.25MB
  • 12. Hypothesis Testing in Practice/3. Hypothesys Testing in Practice - Part 2.mp4116.51MB
  • 12. Hypothesis Testing in Practice/4. Hypothesys Testing in Practice - Part 3.mp4161.21MB
  • 12. Hypothesis Testing in Practice/6. Hypothesys Testing in Practice - Part 4.mp4125.39MB
  • 12. Hypothesis Testing in Practice/7. Hypothesys Testing in Practice - Part 5.mp4100.99MB
  • 12. Hypothesis Testing in Practice/9. Hypothesys Testing in Practice - Part 6.mp4147.56MB
  • 13. Machine Learning Toolbox/1. Machine Learning Toolbox - Part 1.mp493.96MB
  • 13. Machine Learning Toolbox/2. Machine Learning Toolbox - Part 2.mp473.45MB
  • 14. Business Use Case Understaing/1. Business Case Understanding.mp492.75MB
  • 15. Data Pre-Processing/1. Data Pre-Processing 1.mp4136.53MB
  • 15. Data Pre-Processing/10. Data Pre-Processing 6.mp443.64MB
  • 15. Data Pre-Processing/11. Data Pre-Processing 7.mp4145.96MB
  • 15. Data Pre-Processing/3. Data Pre-Processing 2.mp4125.61MB
  • 15. Data Pre-Processing/5. Data Pre-Processing 3.mp4109.2MB
  • 15. Data Pre-Processing/7. Data Pre-Processing 4.mp497.86MB
  • 15. Data Pre-Processing/8. Data Pre-Processing 5.mp4156.06MB
  • 16. SUPERVISED LEARNING REGRESSION/1. Linear Regression 1.mp474.28MB
  • 16. SUPERVISED LEARNING REGRESSION/10. Linear Regression 9 - Stepwise Regression.mp4164.05MB
  • 16. SUPERVISED LEARNING REGRESSION/11. Linear Regression 10 - Dummy Variable.mp4112.62MB
  • 16. SUPERVISED LEARNING REGRESSION/12. Linear Regression 11 - Non Linear.mp489.49MB
  • 16. SUPERVISED LEARNING REGRESSION/2. Linear Regression 2.mp4112.07MB
  • 16. SUPERVISED LEARNING REGRESSION/3. Linear Regression 3.mp4233.08MB
  • 16. SUPERVISED LEARNING REGRESSION/4. Linear Regression 4.mp4179.4MB
  • 16. SUPERVISED LEARNING REGRESSION/5. Linear Regression 5.mp4247.48MB
  • 16. SUPERVISED LEARNING REGRESSION/6. Linear Regression 6.mp4135.13MB
  • 16. SUPERVISED LEARNING REGRESSION/7. Linear Regression 7 - Correlation Part 1.mp4125.09MB
  • 16. SUPERVISED LEARNING REGRESSION/8. Linear Regression 7 - Correlation Part 2.mp4144.58MB
  • 16. SUPERVISED LEARNING REGRESSION/9. Linear Regression 8 - Stepwise Regression.mp4102.47MB
  • 17. Classification Overview/1. Classification Overview.mp4100.41MB
  • 18. Logistic Regression/1. Logistics Regression Intuition.mp4103.35MB
  • 18. Logistic Regression/2. R Code Implementation -Part1.mp453.83MB
  • 18. Logistic Regression/3. R Code Implementation -Part2.mp4120.34MB
  • 18. Logistic Regression/5. Model Evaluation.mp4115.29MB
  • 18. Logistic Regression/7. Telecom Churn Case Study.mp4247.38MB
  • 18. Logistic Regression/9. Summary.mp456.44MB
  • 19. K-NN/1. K-NN Intuition.mp495.1MB
  • 19. K-NN/2. K-NN R Code Implementation.mp4143.62MB
  • 19. K-NN/4. K-NN Case Study.mp4177.59MB
  • 2. INTRODUCTION TO DATA SCIENCE/1. Introduction to Business Analytics.mp4119.82MB
  • 2. INTRODUCTION TO DATA SCIENCE/3. Introduction to Machine Learning.mp4129.73MB
  • 2. INTRODUCTION TO DATA SCIENCE/5. Introduction To Data Scientist.mp485.32MB
  • 2. INTRODUCTION TO DATA SCIENCE/7. How to switch your career into ML.mp4130.03MB
  • 2. INTRODUCTION TO DATA SCIENCE/9. How to switch your career into ML.mp434.07MB
  • 20. SVM/1. SVM - Intuition.mp460.2MB
  • 20. SVM/2. SVM - R Code Implementation.mp4100.64MB
  • 20. SVM/4. SVM - Model Tuning.mp489.53MB
  • 20. SVM/6. SVM - Telecom Case Study.mp489.44MB
  • 20. SVM/8. SVM - Non Separable Case and Pros and Cons.mp457.08MB
  • 21. Naive Bayes/1. Naive Bayes - Intuition.mp4143.85MB
  • 21. Naive Bayes/2. Naive Bayes - R Code Implementation.mp498.94MB
  • 21. Naive Bayes/3. Naive Bayes - Case Study.mp480.19MB
  • 22. Decision Tree/1. Decision Tree Intuition.mp4110.92MB
  • 22. Decision Tree/2. Decision Tree -How it works.mp468.67MB
  • 22. Decision Tree/3. Decision Tree - R Code Implementation.mp4135.2MB
  • 22. Decision Tree/4. Decision Tree Pruning.mp4166.38MB
  • 22. Decision Tree/5. Decision Tree Case Study.mp4129.87MB
  • 23. Random Forest/1. Random Forest - Intuition.mp481.88MB
  • 23. Random Forest/2. Random Forest -R Code Implementation.mp454.3MB
  • 23. Random Forest/3. Random Forest - Case Study.mp496.55MB
  • 24. Capstone Project - Titanic Survival/1. Capstone Project -Introduction.mp4101.41MB
  • 24. Capstone Project - Titanic Survival/10. Capstone Project - Random Forest.mp427.5MB
  • 24. Capstone Project - Titanic Survival/2. Capstone Project - Data Understanding.mp459.01MB
  • 24. Capstone Project - Titanic Survival/3. Capstone Project - Lazy Predictor.mp467.42MB
  • 24. Capstone Project - Titanic Survival/4. Capstone Project - Data Preparation.mp472.51MB
  • 24. Capstone Project - Titanic Survival/5. Capstone Project - Data Exploration.mp452.27MB
  • 24. Capstone Project - Titanic Survival/6. Capstone Project - Feature Engineering.mp479.38MB
  • 24. Capstone Project - Titanic Survival/7. Capstone Project - Logistics Regression.mp4193.53MB
  • 24. Capstone Project - Titanic Survival/8. Capstone Project - Logistics Regression 2.mp447.41MB
  • 24. Capstone Project - Titanic Survival/9. Capstone Project - Decision Tree.mp4206.18MB
  • 25. K-Mean Clustering/1. Unsupervised Learning Introduction.mp440.56MB
  • 25. K-Mean Clustering/2. K-Mean Clustering Intuition.mp4148.43MB
  • 25. K-Mean Clustering/3. K-Mean Clustering R Code Implementation.mp4174.02MB
  • 25. K-Mean Clustering/4. K-Mean Clustering Case Study.mp4112.73MB
  • 26. Hierarchical Clustering/1. Hierarchical Clustering Intuition.mp479.46MB
  • 26. Hierarchical Clustering/2. Hierarchical Clustering R Code Implementation.mp4168.4MB
  • 26. Hierarchical Clustering/3. Hierarchical Clustering Case Study.mp473.24MB
  • 27. DBScan Clustering/1. DBScan Clustering -Intuition and R Code.mp4100.44MB
  • 27. DBScan Clustering/2. DBScan Clustering - Case Study.mp485.77MB
  • 28. Principal Component Analysis (PCA)/1. PCA - Intuition.mp480.14MB
  • 28. Principal Component Analysis (PCA)/2. PCA - R Code Implementation.mp4181.91MB
  • 28. Principal Component Analysis (PCA)/3. PCA - Case Study.mp4171.79MB
  • 29. Association Rule Mining/1. Association Rule Mining -Introduction.mp4159.47MB
  • 29. Association Rule Mining/2. Association Rule Mining -R Code Implementation.mp4111.87MB
  • 29. Association Rule Mining/3. Association Rule Mining - Pre-Processing.mp471.76MB
  • 29. Association Rule Mining/4. Association Rule Mining - Case Study.mp4204.13MB
  • 3. Course Curriculum Overview/1. What We are Going to Discuss Over the Course.mp4218.63MB
  • 30. Capstone Project - Big Mart Sell/1. Big Mart Sale - Data Structure.mp4112.05MB
  • 30. Capstone Project - Big Mart Sell/2. Big Mart Sale - Univariate Analysis.mp4105.02MB
  • 30. Capstone Project - Big Mart Sell/3. Big Mart Sale - Bi-Variate Analysis.mp483.43MB
  • 30. Capstone Project - Big Mart Sell/4. Big Mart Sale - Fetature Engineering.mp4144.57MB
  • 30. Capstone Project - Big Mart Sell/5. Big Mart Sale - Pre-Processing.mp4235.09MB
  • 30. Capstone Project - Big Mart Sell/6. Big Mart Sale - Model Building & Evaluation.mp4201.04MB
  • 31. Model Deployment/1. Model Deployment - Workflow.mp471.35MB
  • 31. Model Deployment/2. Model Deployment - Pre Requisite.mp499.07MB
  • 31. Model Deployment/3. Model Deployment - Steps To Follow.mp4199.42MB
  • 31. Model Deployment/4. Model Deployment - Azure ML DEMO.mp4127.54MB
  • 4. INTRODUCTION TO R/1. Introduction to R.mp4143.92MB
  • 4. INTRODUCTION TO R/3. Setting up R.mp4124.3MB
  • 5. R Programming/1. R Programming - R Operator.mp4132.48MB
  • 5. R Programming/2. R Conditional Statement & Loop.mp490.77MB
  • 5. R Programming/4. R Programming - R Function.mp4128.43MB
  • 5. R Programming/6. R Programming - R Function #2.mp4111.19MB
  • 5. R Programming/8. R Programming - R Function #3.mp449.28MB
  • 6. R Data Structure/1. R Data Structure - Vector.mp4105.48MB
  • 6. R Data Structure/10. R Data Structure - Factor.mp454.28MB
  • 6. R Data Structure/13. R Data Structure - List.mp460.78MB
  • 6. R Data Structure/4. Matrix, Array and Data Frame.mp4150.36MB
  • 6. R Data Structure/8. A Deep Drive to R Data Frame.mp4140.76MB
  • 7. Import and Export in R/1. Import CSV Data in R.mp487.45MB
  • 7. Import and Export in R/10. Export Data in R - CSV & Excel.mp441.25MB
  • 7. Import and Export in R/4. Import Text Data in R.mp432.71MB
  • 7. Import and Export in R/7. Import Excel, Web Data in R.mp4148.98MB
  • 7. Import and Export in R/9. Export Data in R - Text.mp421.71MB
  • 8. Data Manipulation/1. Data Manipulation - Apply Function.mp4115.14MB
  • 8. Data Manipulation/10. Data Manipulation - group by.mp498.04MB
  • 8. Data Manipulation/12. Data Manipulation - Date.mp4108.57MB
  • 8. Data Manipulation/3. Data Manipulation - select.mp4127.84MB
  • 8. Data Manipulation/4. Data Manipulation - mutate.mp4186.27MB
  • 8. Data Manipulation/5. Data Manipulation - filter.mp4186.13MB
  • 8. Data Manipulation/6. Data Manipulation - arrange.mp4108.22MB
  • 8. Data Manipulation/8. Data Manipulation - Pipe Operator.mp4132.8MB
  • 9. Data Visualization/1. Introduction to Data Visualization & Scatter Plot.mp4120.74MB
  • 9. Data Visualization/11. Data Visualization - Bar Plot.mp470.43MB
  • 9. Data Visualization/13. Data Visualization - Pie Chart.mp466MB
  • 9. Data Visualization/15. Data Visualization - Histogram.mp477.98MB
  • 9. Data Visualization/17. Data Visualization - Density Plot.mp424.72MB
  • 9. Data Visualization/19. Data Visualization - Box Plot.mp450.61MB
  • 9. Data Visualization/21. Data Visualization - Mosaic Plot and Heat Map.mp478.27MB
  • 9. Data Visualization/23. Data Visualization - 3D Plot.mp4118.51MB
  • 9. Data Visualization/25. Correlation Plot and Word Cloud.mp4105.76MB
  • 9. Data Visualization/27. Data Visualization - ggplot2 Part 1.mp4127.01MB
  • 9. Data Visualization/28. Data Visualization - ggplot2 Part 2.mp488.09MB
  • 9. Data Visualization/3. Data Visualization - mfrow.mp484.38MB
  • 9. Data Visualization/30. Data Visualization - ggplot2 Part 3.mp4156.47MB
  • 9. Data Visualization/5. Data Visualization - pch.mp4140.17MB
  • 9. Data Visualization/7. Data Visualization - Color.mp412.13MB
  • 9. Data Visualization/9. Data Visualization - Line Chart.mp434.97MB