[FreeCourseSite.com] Udemy - Data Science Masterclass With R! 4 Projects 8 Case Studies
FreeCourseSiteUdemyDataScienceMasterclassWithProjectsCaseStudies
种子大小:17.45 GB
收录时间:2019-06-19
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文件列表:479File
- 16. SUPERVISED LEARNING REGRESSION/5. Linear Regression 5.mp4247.48 MB
- 18. Logistic Regression/7. Telecom Churn Case Study.mp4247.38 MB
- 30. Capstone Project - Big Mart Sell/5. Big Mart Sale - Pre-Processing.mp4235.09 MB
- 16. SUPERVISED LEARNING REGRESSION/3. Linear Regression 3.mp4233.08 MB
- 3. Course Curriculum Overview/1. What We are Going to Discuss Over the Course.vtt218.64 MB
- 3. Course Curriculum Overview/1. What We are Going to Discuss Over the Course.mp4218.63 MB
- 24. Capstone Project - Titanic Survival/9. Capstone Project - Decision Tree.mp4206.18 MB
- 29. Association Rule Mining/4. Association Rule Mining - Case Study.mp4204.13 MB
- 30. Capstone Project - Big Mart Sell/6. Big Mart Sale - Model Building & Evaluation.mp4201.04 MB
- 31. Model Deployment/3. Model Deployment - Steps To Follow.mp4199.42 MB
- 24. Capstone Project - Titanic Survival/7. Capstone Project - Logistics Regression.mp4193.53 MB
- 8. Data Manipulation/4. Data Manipulation - mutate.mp4186.27 MB
- 8. Data Manipulation/5. Data Manipulation - filter.mp4186.13 MB
- 28. Principal Component Analysis (PCA)/2. PCA - R Code Implementation.mp4181.91 MB
- 16. SUPERVISED LEARNING REGRESSION/4. Linear Regression 4.mp4179.4 MB
- 19. K-NN/4. K-NN Case Study.mp4177.59 MB
- 25. K-Mean Clustering/3. K-Mean Clustering R Code Implementation.mp4174.02 MB
- 28. Principal Component Analysis (PCA)/3. PCA - Case Study.mp4171.79 MB
- 10. Introduction To Statistics/12. Intro To Stat - Part 7.mp4168.77 MB
- 26. Hierarchical Clustering/2. Hierarchical Clustering R Code Implementation.mp4168.4 MB
- 22. Decision Tree/4. Decision Tree Pruning.mp4166.38 MB
- 16. SUPERVISED LEARNING REGRESSION/10. Linear Regression 9 - Stepwise Regression.mp4164.05 MB
- 12. Hypothesis Testing in Practice/16. ANOVA - Part 2.mp4163.06 MB
- 12. Hypothesis Testing in Practice/4. Hypothesys Testing in Practice - Part 3.mp4161.21 MB
- 29. Association Rule Mining/1. Association Rule Mining -Introduction.mp4159.47 MB
- 12. Hypothesis Testing in Practice/1. Hypothesys Testing in Practice - Part 1.mp4156.99 MB
- 9. Data Visualization/30. Data Visualization - ggplot2 Part 3.mp4156.47 MB
- 15. Data Pre-Processing/8. Data Pre-Processing 5.mp4156.06 MB
- 6. R Data Structure/4. Matrix, Array and Data Frame.mp4150.36 MB
- 10. Introduction To Statistics/18. Intro To Stat - Part 10.mp4149.33 MB
- 7. Import and Export in R/7. Import Excel, Web Data in R.mp4148.98 MB
- 25. K-Mean Clustering/2. K-Mean Clustering Intuition.mp4148.43 MB
- 12. Hypothesis Testing in Practice/9. Hypothesys Testing in Practice - Part 6.mp4147.56 MB
- 15. Data Pre-Processing/11. Data Pre-Processing 7.mp4145.96 MB
- 16. SUPERVISED LEARNING REGRESSION/8. Linear Regression 7 - Correlation Part 2.mp4144.58 MB
- 30. Capstone Project - Big Mart Sell/4. Big Mart Sale - Fetature Engineering.mp4144.57 MB
- 4. INTRODUCTION TO R/1. Introduction to R.mp4143.92 MB
- 21. Naive Bayes/1. Naive Bayes - Intuition.mp4143.85 MB
- 19. K-NN/2. K-NN R Code Implementation.mp4143.62 MB
- 6. R Data Structure/8. A Deep Drive to R Data Frame.mp4140.76 MB
- 9. Data Visualization/5. Data Visualization - pch.mp4140.17 MB
- 15. Data Pre-Processing/1. Data Pre-Processing 1.mp4136.53 MB
- 22. Decision Tree/3. Decision Tree - R Code Implementation.mp4135.2 MB
- 16. SUPERVISED LEARNING REGRESSION/6. Linear Regression 6.mp4135.13 MB
- 12. Hypothesis Testing in Practice/12. Chi Square -Part 2.mp4133.55 MB
- 8. Data Manipulation/8. Data Manipulation - Pipe Operator.mp4132.8 MB
- 5. R Programming/1. R Programming - R Operator.mp4132.48 MB
- 10. Introduction To Statistics/5. Intro To Stat - Part 3.mp4132.17 MB
- 10. Introduction To Statistics/9. Intro To Stat - Part 5.mp4130.94 MB
- 2. INTRODUCTION TO DATA SCIENCE/7. How to switch your career into ML.mp4130.03 MB