Machine Learning Git Codebook

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Machine Learning Git Codebook

Lesson 1 : Introduction to Numpy (Video)
Lesson 2 : Data Wrangling using Pandas
Lesson 3 : Plotting in Python
Lesson 4 : Linear Models for Regression & Classification
Lesson 5 : Preprocessing Data
Lesson 6 : Decision Trees
Lesson 7 : Naive Bayes
Lesson 8 : Composite Estimators
Lesson 9 : Model Selection and Evaluation
Lesson 10 : Feature Selection Techniques
Lesson 11 : Nearest Neighbors
Lesson 12 : Clustering Techniques
Lesson 13 : Anomaly Detection
Lesson 14 : Support Vector Machines
Lesson 15 : Dealing with Imbalanced Classes
Lesson 16 : Ensemble Methods

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
Case 8 : Finding Similar Houses

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Machine Learning Git Codebook

Case Study of Classic ML Problems

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Name		Name	Last commit message	Last commit date
Latest commit History 136 Commits
Data Wrangling		Data Wrangling
Data		Data
1. Introduction to Numpy.ipynb		1. Introduction to Numpy.ipynb
1. NumPy.ipynb		1. NumPy.ipynb
10. Feature Selection Techniques.ipynb		10. Feature Selection Techniques.ipynb
11. Nearest Neighbors.ipynb		11. Nearest Neighbors.ipynb
12. Clustering Techniques.ipynb		12. Clustering Techniques.ipynb
13. Anomaly Detection.ipynb		13. Anomaly Detection.ipynb
14. Support Vector Machines.ipynb		14. Support Vector Machines.ipynb
15. Dealing with Imbalanced Classes.ipynb		15. Dealing with Imbalanced Classes.ipynb
16. Ensemble Methods.ipynb		16. Ensemble Methods.ipynb
17. Association Rules.ipynb		17. Association Rules.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
Case Study - IMDB dataset.ipynb		Case Study - IMDB dataset.ipynb
Case Study - Balancing Class.ipynb		Case Study - Balancing Class.ipynb
Case Study - Clustering, Outliers.ipynb		Case Study - Clustering, Outliers.ipynb
Case Study - Face Detection.ipynb		Case Study - Face Detection.ipynb
Case Study - Feature Selection on Store Data.ipynb		Case Study - Feature Selection on Store Data.ipynb
Case Study - Fraud Detection.ipynb		Case Study - Fraud Detection.ipynb
Case Study - HealthCare Data Analysis.ipynb		Case Study - HealthCare Data Analysis.ipynb
Case Study - House Pricing.ipynb		Case Study - House Pricing.ipynb
Case Study - Image Compression.ipynb		Case Study - Image Compression.ipynb
Case Study - Income Prediction.ipynb		Case Study - Income Prediction.ipynb
Case Study - Titanic Shipwrek prediction.ipynb		Case Study - Titanic Shipwrek prediction.ipynb
Case Study - Visa Status Prediction.ipynb		Case Study - Visa Status Prediction.ipynb
Case Study 1 - Employee Attrition Prediction.ipynb		Case Study 1 - Employee Attrition Prediction.ipynb
Case Study 2 - Review Sentiment Classification.ipynb		Case Study 2 - Review Sentiment Classification.ipynb
Case Study Churn Prediction.ipynb		Case Study Churn Prediction.ipynb
Case Study Clothe Identification.ipynb		Case Study Clothe Identification.ipynb
Case Study Handwriting Detection.ipynb		Case Study Handwriting Detection.ipynb
Case Study Insurance Amount Prediction.ipynb		Case Study Insurance Amount Prediction.ipynb
Case Study using Pipeline & Column Transformer.ipynb		Case Study using Pipeline & Column Transformer.ipynb
Column Transformer Example.ipynb		Column Transformer Example.ipynb
Comparing Regression.ipynb		Comparing Regression.ipynb
Day 1.ipynb		Day 1.ipynb
Day1-2.ipynb		Day1-2.ipynb
Grid Search.ipynb		Grid Search.ipynb
LR Example.ipynb		LR Example.ipynb
Mallicious Network Data Prediction.ipynb		Mallicious Network Data Prediction.ipynb
MlModel.py		MlModel.py
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 - Finding Similar Houses.ipynb		Project - Finding Similar Houses.ipynb
Project - Income Prediction.ipynb		Project - Income Prediction.ipynb
Project - Predicting Employee Exit.ipynb		Project - Predicting Employee Exit.ipynb
Project - Recommandation Engine.ipynb		Project - Recommandation Engine.ipynb
Project - Reducing colors in image.ipynb		Project - Reducing colors in image.ipynb
Project - Wardrobe Identification.ipynb		Project - Wardrobe Identification.ipynb
Project Neighbors & Clustering.ipynb		Project Neighbors & Clustering.ipynb
Project using Feature Selection.ipynb		Project using Feature Selection.ipynb
README.md		README.md
allstate_train.csv.zip		allstate_train.csv.zip
flask_ml_api.py		flask_ml_api.py
mymlproj.zip		mymlproj.zip

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Case Study of Classic ML Problems

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