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 92 Commits 92 Commits
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
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 - 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 using Pipeline & Column Transformer.ipynb	Case Study using Pipeline & Column Transformer.ipynb
Comparing Regression.ipynb	Comparing Regression.ipynb
Grid Search.ipynb	Grid Search.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 - 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
README.md	README.md
mymlproj.zip	mymlproj.zip

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Case Study of Classic ML Problems

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