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Data Science Masterclass With R! 4 Projects+8 Case Studies
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R master
10. Introduction To Statistics
18. Intro To Stat - Part 10
18. Intro To Stat - Part 10
Last modified: Saturday, 1 August 2020, 9:27 AM
◄ 16. Intro To Stat - Part 9
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1. Meet Your Instructor
Files
1. Introduction to Business Analytics
3. Introduction to Machine Learning
5. Introduction To Data Scientist
7. How to switch your career into ML
9. How to switch your career into ML
1. What We are Going to Discuss Over the Course
1. Introduction to R
3. Setting up R
2. Introduction to R
1. R Programming - R Operator
2. R Conditional Statement & Loop
4. R Programming - R Function
6. R Programming - R Function #2
8. R Programming - R Function 3
Files
1. R Data Structure - Vector
4. Matrix, Array and Data Frame
8. A Deep Drive to R Data Frame
10. R Data Structure - Factor
13. R Data Structure - List
Files
1. Import CSV Data in R
4. Import Text Data in R
7. Import Excel, Web Data in R
9. Export Data in R - Text
10. Export Data in R - CSV & Exce
11. Export Data in R - CSV & Excel
Files
1. Data Manipulation - Apply Function
3. Data Manipulation - select
4. Data Manipulation - mutate
5. Data Manipulation - filter
6. Data Manipulation - arrange
8. Data Manipulation - Pipe Operator
10. Data Manipulation - group by
12. Data Manipulation - Date
Files
1. Introduction to Data Visualization & Scatter Plot
3. Data Visualization - mfrow
5. Data Visualization - Color
5. Data Visualization - pch
7. Data Visualization - Color.
7. Data Visualization - pch
9. Data Visualization - Line Chart
11. Data Visualization - Bar Plot
13. Data Visualization - Pie Chart
15. Data Visualization - Histogram
17. Data Visualization - Density Plot
19. Data Visualization - Box Plot
21. Data Visualization - Mosaic Plot and Heat Map
23. Data Visualization - 3D Plot
25. Correlation Plot and Word Cloud
27. Data Visualization - ggplot2 Part 1
28. Data Visualization - ggplot2 Part 2
30. Data Visualization - ggplot2 Part 3
Files
1. Intro To Stat - Part 1
3. Intro To Stat - Part 2
5. Intro To Stat - Part 3
7. Intro To Stat - Part 4
9. Intro To Stat - Part 5
11. Intro To Stat - Part 6
12. Intro To Stat - Part 7
14. Intro To Stat - Part 8
16. Intro To Stat - Part 9
20. Intro To Stat - Part 11
Files
1. Hypothesys Testing - Part 1
3. Hypothesys Testing - Part 2
5. Hypothesys Testing - Part 3
6. Hypothesys Testing - Part 4
Files
1. Hypothesys Testing in Practice - Part 1
3. Hypothesys Testing in Practice - Part 2
4. Hypothesys Testing in Practice - Part 3
6. Hypothesys Testing in Practice - Part 4
7. Hypothesys Testing in Practice - Part 5
9. Hypothesys Testing in Practice - Part 6
10. Chi Square -Part 1
12. Chi Square -Part 2
14. ANOVA - Part 1
16. ANOVA - Part 2
17. What we discussed in the chapter so far - Summary of the Chapte
Files
1. Machine Learning Toolbox - Part 1
13. Machine Learning Toolbox/2. Machine Learning Toolbox - Part 2
3. CODES-Data Pre-Processing 1
14. Business Use Case Understaing/1. Business Case Understanding
2. CODES-Data Pre-Processing 2
1. Data Pre-Processing 1
3. Data Pre-Processing 2
5. Data Pre-Processing 3
7. Data Pre-Processing 4
8. Data Pre-Processing 5
10. Data Pre-Processing 6
11. Data Pre-Processing 7
Files
1. Linear Regression 1
12. Linear Regression 11 - Non Linear
2. Linear Regression 2
3. Linear Regression 3
4. Linear Regression 4
5. Linear Regression 5
6. Linear Regression 6.
7. Linear Regression 7 - Correlation Part 1
8. Linear Regression 7 - Correlation Part 2
9. Linear Regression 8 - Stepwise Regression.
10. Linear Regression 9 - Stepwise Regression
11. Linear Regression 10 - Dummy Variable
FILES
17. Classification Overview/1. Classification Overview
1. Logistics Regression Intuition
2. R Code Implementation -Part1
3. R Code Implementation -Part2
5. Model Evaluation.
7. Telecom Churn Case Study
9. Summary.
Files
1. K-NN Intuition
2. K-NN R Code Implementation.
4. K-NN Case Study
Files
1. Logistics Regression Intuition
2. R Code Implementation -Part1
3. R Code Implementation -Part2
5. Model Evaluation
7. Telecom Churn Case Study
9. Summary
Files
1. K-NN Intuition
2. K-NN R Code Implementation
4. K-NN Case Study
Files
1. SVM - Intuition.
2. SVM - R Code Implementation.
4. SVM - Model Tuning
6. SVM - Telecom Case Study
8. SVM - Non Separable Case
9. SVM - Pros and Cons
Files
1. Naive Bayes - Intuition
2. Naive Bayes - R Code Implementation
3. Naive Bayes - Case Study
FILES
1. SVM - Intuition
2. SVM - R Code Implementation
4. SVM - Model Tuning
6. SVM - Telecom Case Study
8. SVM - Non Separable Case and Pros and Cons
FILES
1. Decision Tree Intuition
2. Decision Tree -How it works
3. Decision Tree - R Code Implementation
4. Decision Tree - All Codes
4.1 Churn Data.csv
4.2 Decision Tree - codes.pdf
1. Naive Bayes - Intuition
2. Naive Bayes - R Code Implementation
3. Naive Bayes - Case Study
Files
1. Decision Tree Intuition
2. Decision Tree -How it works
3. Decision Tree - R Code Implementation
4. Decision Tree Pruning
5. Decision Tree Case Study
6. Decision Tree - All Codes
6.1 Churn Data.csv
6.2 Decision Tree - codes.pdf
1. Random Forest - Intuition.
2. Random Forest -R Code Implementation
3. Random Forest - Case Study
4. Codes Data Sets - Random Forest
4.1 all codes random forest 2 codes.zip
1. Capstone Project -Introduction
2. Capstone Project - Data Understanding
3. Capstone Project - Lazy Predictor
4. Capstone Project - Data Preparation
5. Capstone Project - Data Exploration
6. Capstone Project - Feature Engineering
1. Capstone Project -Introduction.mp4
2 Capstone Project Data Understanding
3. Capstone Project Lazy Predictor
4. Capstone Project Data Preparation
5. Capstone Project - Data Exploration
6. Capstone Project Feature Engineering
1. Capstone Project -Introduction.m
1. Capstone Project -Introduction
2. Capstone Project - Data Understanding
3. Capstone Project - Lazy Predictor
5. Capstone Project Data Exploration
4. Capstone Project Data Preparation
6. Capstone Project - Feature Engineering
7. Capstone Project Logistics Regression
8. Capstone Project Logistics Regression 2
9. Capstone Project Decision Tree
10. Capstone Project Random Forest
11.1 All Codes Capstone Project -Titanic Survival.zip
1. Unsupervised Learning Introduction
2. K-Mean Clustering Intuition
3. K-Mean Clustering R Code Implementation
4. K-Mean Clustering Case Study
5. All Codes K-Mean Clustering
5.1 All Codes K-Mean Clustering.zip
1. Hierarchical Clustering Intuition.
2. Hierarchical Clustering R Code Implementation
3. Hierarchical Clustering Case Study
4. All Codes - Hierarchical Clustering
4.1 All Codes - Hierarchical CLustering.zip
1. Unsupervised Learning Introduction
2. K-Mean Clustering Intuition
3. K-Mean Clustering R Code Implementation
4 K-Mean Clustering Case Study
5. All Codes K-Mean Clustering
5.1 All Codes K-Mean Clustering.zip
1. DBScan Clustering -Intuition and R Code
1. DBScan Clustering -Intuition and R Code (copy)
3. All codes - DBScan Clustering
3.1 All Codes DBScan Clustering.zip
1. Hierarchical Clustering Intuition
2. Hierarchical Clustering R Code Implementation
3. Hierarchical Clustering Case Study
4. All Codes - Hierarchical Clustering
4.1 All Codes - Hierarchical CLustering.zip
1. DBScan Clustering -Intuition and R Code
2. DBScan Clustering Case Study
3. All codes - DBScan Clustering
3.1 All Codes DBScan Clustering.zip
1. PCA - Intuition
2. PCA - R Code Implementation
3. PCA - Case Study
4. All Codes - PCA
4.1 All codes Principal Component Analysis.zip
1. Association Rule Mining -Introduction
2. Association Rule MiningR Code Implementation
3. Association Rule Mining - Pre-Processing
4. Association Rule Mining - Case Study
1. Big Mart Sale - Data Structure
2. Big Mart Sale - Univariate Analysis
3. Big Mart Sale - Bi-Variate Analysis.
4. Big Mart Sale - Fetature Engineering
5. Big Mart Sale - Pre-Processing.
6. Big Mart Sale - Model Building & Evaluation
7. Capstone Project - Big Mart Sell All Codes
7.1 all code big mart sell.zip
7.2 all code big mart sell.zip
XLSx
1. Big Mart Sale - Data Structure
2. Big Mart Sale Univariate Analysis
3. Big Mart Sale - Bi-Variate Analysis
. Big Mart Sale - Fetature Engineering
5. Big Mart Sale - Pre-Processing
6. Big Mart Sale - Model Building & Evaluation
7. Capstone Project - Big Mart Sell All Codes
7.1 Big Mart Sale 4 files.zip
1. Model Deployment - Workflow
2. Model Deployment - Pre Requisite
3. Model Deployment - Steps To Follow
4. Model Deployment - Azure ML DEMO
1. All Bonus - Interview Preparation + PDF + Private Group
1. Model Deployment - Workflow
2. Model Deployment - Pre Requisite
3. Model Deployment Steps To Follow
4. Model Deployment - Azure ML DEMO.mp4]
1. All Bonus - Interview Preparation + PDF + Private Group
20. Intro To Stat - Part 11 ►
R master
1. Meet Your Instructor
2. INTRODUCTION TO DATA SCIENCE
3. Course Curriculum Overview
4. INTRODUCTION TO R
5. R Programming
6. R Data Structure
7. Import and Export in R
8. Data Manipulation
9. Data Visualization
10. Introduction To Statistics
11. HYPOTHESIS Testing -1
12. Hypothesis Testing in Practice
13. Machine Learning Toolbox
14. Business Use Case Understaing
Topic 14
15. Data Pre-Processing
16. SUPERVISED LEARNING REGRESSION
17. Classification Overview
17. Logistic Regression
18. K-NN
18. Logistic Regression
19. K-NN
19. SVM
20. Naive Bayes
20. SVM
21. Decision Tree
21. Naive Bayes
22. Decision Tree
22. Random Forest
23. Capstone Project - Titanic Survival
23. Random Forest
23. Capstone Project - Titanic Survival
24. Capstone Project - Titanic Survival
24. K-Mean Clustering
25. Hierarchical Clustering
25. K-Mean Clustering
26. DBScan Clustering
26. Hierarchical Clustering
27. DBScan Clustering
27. Principal Component Analysis (PCA)
28. Association Rule Mining
29. Association Rule Mining
29. Capstone Project - Big Mart Sell
30. Capstone Project - Big Mart Sell
30. Model Deployment
31. Bonus Section - $997 Value Inside
31. Model Deployment
32. Bonus Section - $997 Value Inside
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