Machine Learning Git Codebook

Lesson 1 : Introduction to Numpy (Video)
Lesson 2 : Introduction to Pandas
Lesson 3 : Plotting in Python
Lesson 4 : Regression Models
Lesson 5 : Preprocessing Data
Lesson 6 : Decision Trees
Lesson 7 : Naive Bayes
Lesson 8 : Feature Unions
Lesson 9 : Model Selection and Evaluation
Lesson 10 : Feature Selection Techniques Lesson 11 : Nearest Neighbors

Case Study of Classic ML Problems

Case 1 : Linear Regression
Case 2 : Cancer Prediction
Case 3 : Online Learning
Case 4 : Customer Churn Prediction
Case 5 : Income Prediction
Case 6 : Predicting Employee Exit
Case 7 : Face Generation

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Name		Name	Last commit message	Last commit date
Latest commit History 42 Commits
Data		Data
1. NumPy.ipynb		1. NumPy.ipynb
10. Feature Selection Techniques.ipynb		10. Feature Selection Techniques.ipynb
11. Nearest Neighbors.ipynb		11. Nearest Neighbors.ipynb
2. Pandas for Machine Learning.ipynb		2. Pandas for Machine Learning.ipynb
3. Plotting.ipynb		3. Plotting.ipynb
4. Linear Models for Classification & Regression.ipynb		4. Linear Models for Classification & Regression.ipynb
5. PreProcessing.ipynb		5. PreProcessing.ipynb
6. Decision Tree.ipynb		6. Decision Tree.ipynb
7. Naive Bayes.ipynb		7. Naive Bayes.ipynb
8. Composite Estimators using Pipelines & FeatureUnions.ipynb		8. Composite Estimators using Pipelines & FeatureUnions.ipynb
9. Model Selection & Evaluation.ipynb		9. Model Selection & Evaluation.ipynb
Cancer Prediction.ipynb		Cancer Prediction.ipynb
Comparing Regression.ipynb		Comparing Regression.ipynb
LR Example.ipynb		LR Example.ipynb
Online Learning.ipynb		Online Learning.ipynb
Project - Customer Churn Prediction.ipynb		Project - Customer Churn Prediction.ipynb
Project - Face Generation.ipynb		Project - Face Generation.ipynb
Project - Income Prediction.ipynb		Project - Income Prediction.ipynb
Project - Predicting Employee Exit.ipynb		Project - Predicting Employee Exit.ipynb
README.md		README.md