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https://github.com/1ambda/data-analysis


https://github.com/1ambda/data-analysis

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# data analysis note

**Analytics Edge**, MIT

[Week 1]() - Intro
[Week 2]() - Linear Regression
[Week 3](https://github.com/1ambda/data-analysis/tree/master/analytics-edge/week3) - Logistic Regression
[Week 4](https://github.com/1ambda/data-analysis/tree/master/analytics-edge/week4) - CART, Random Forest
[Week 5](https://github.com/1ambda/data-analysis/tree/master/analytics-edge/week5) - Text Analytics
[Week 6](https://github.com/1ambda/data-analysis/tree/master/analytics-edge/week6) - Clustering, Recommendation
[Week 7](https://github.com/1ambda/data-analysis/tree/master/analytics-edge/week7) - Visualization: Heat Map, Social Network, Wordcloud
[Week 8](https://github.com/1ambda/data-analysis/tree/master/analytics-edge/week8) - Linear Optimization
[Week 9](https://github.com/1ambda/data-analysis/tree/master/analytics-edge/week9) - Integer Optimization
[Kaggle Competition](https://github.com/1ambda/data-analysis/tree/master/analytics-edge/kaggle) - [Predicting which NY Times Blog Articles Will Be Most Popular](https://www.kaggle.com/c/15-071x-the-analytics-edge-competition-spring-2015/)
[Final Exam](https://github.com/1ambda/data-analysis/tree/master/analytics-edge/final) - Final Exam: Regression, Clustering, Text Mining


**Pattern Discovery** by *Jiawei Han*, Coursera

[Chapter 1](http://1ambda.github.io/pattern-discovery-1/) - Apriori, FP Growth
[Chapter 2](http://1ambda.github.io/pattern-discovery-2/) - Null-invariant, Pattern-Fusion, Constaint


**Intro to Computational Thinking and Data Science**, edx

[Chapter 1](http://1ambda.github.io/edx-600-2x-1/) - Modeling
[Chapter 2](http://1ambda.github.io/edx-600-2x-2/) - Monte Carlo Simulation
[Chapter 3](http://1ambda.github.io/edx-600-2x-3/) - Optimization Problem
[Chapter 4](http://1ambda.github.io/edx-600-2x-4/) - State Modeling, Hierarchical Clustering