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1. NumPy.ipynb notebooks Sep 15, 2018
10. Feature Selection Techniques.ipynb Rename Feature Selection Techniques.ipynb to 10. Feature Selection Te… Oct 17, 2018
11. Nearest Neighbors.ipynb Rename Nearest Neighbors.ipynb to 11. Nearest Neighbors.ipynb Oct 20, 2018
12. Clustering Techniques.ipynb Rename Clustering Techniques.ipynb to 12. Clustering Techniques.ipynb Oct 26, 2018
13. Anomaly Detection.ipynb Rename Anomaly Detection.ipynb to 13. Anomaly Detection.ipynb Oct 26, 2018
14. Support Vector Machines.ipynb Rename Support Vector Machines.ipynb to 14. Support Vector Machines.i… Oct 29, 2018
15. Dealing with Imbalanced Classes.ipynb Rename Dealing with Imbalanced Classes.ipynb to 15. Dealing with Imba… Oct 30, 2018
16. Ensemble Methods.ipynb Rename Ensemble Methods.ipynb to 16. Ensemble Methods.ipynb Oct 31, 2018
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Online Learning.ipynb Add files via upload Oct 6, 2018
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README.md Update README.md Oct 31, 2018

README.md

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

The Free courses available on EdYoda

Python - https://www.edyoda.com/resources/videolisting/98/
Angular - https://www.edyoda.com/resources/videolisting/1227/
Machine Learning - https://www.edyoda.com/resources/videolisting/1416/
Dog Breed Prediction Project - https://www.edyoda.com/resources/videolisting/1336/
https://www.edyoda.com/resources/videolisting/1185/
Numpy - https://www.edyoda.com/resources/videolisting/1263/
Tensorflow - https://www.edyoda.com/resources/videolisting/99/
Amazon Web Services - https://www.edyoda.com/resources/videolisting/1410/
DevOps - https://www.edyoda.com/resources/videolisting/100/
Android -
https://www.edyoda.com/resources/videolisting/101/
https://www.edyoda.com/resources/videolisting/1173/
Implementing Java Api's work - https://www.edyoda.com/resources/dashboard/nayak.chandra1/
Introduction to Neural Nets - https://www.edyoda.com/resources/dashboard/maniksoni653/
Deep Reinforcement Learning - https://www.edyoda.com/resources/videolisting/1421/
Knowledge Graphs, Deep Learning, Reasoning - https://www.edyoda.com/resources/videolisting/1420/
Natural Language Processing - https://www.edyoda.com/resources/videolisting/1419/
GAN Miniseries - https://www.edyoda.com/resources/videolisting/1418/
Videos from deep cognition studio - https://www.edyoda.com/resources/dashboard/deepcognition/

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