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Added readme and L7 homework
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README.md

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@@ -92,27 +92,45 @@ Course materials for weekly Python/Data science class in Hong Kong, partnered wi
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#### Lesson 6: Data Manipulation
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- Web Scraping II
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- Introduction to Python Class Objects
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- Pandas Basics with Case study
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##### Homework:
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- Flight Delay Dataset: Create your own tables by Pandas
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##### Resources
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- [10 mins of Pandas](https://pandas.pydata.org/pandas-docs/stable/user_guide/10min.html)
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- [Pandas CheatSheet](https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf)
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- [SQL Intro resource](https://www.w3schools.com/sql/sql_intro.asp)
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#### Lesson 7: Introduction to Data Science
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- What is Data Science?
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- Essential Skills of Data Scientist
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- Foundation of Probability
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- Permutation vs Combination
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##### Homework:
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- [L7 Homework](/homework/L7_homework.md)
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##### Resources
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- [Probabilities and Statistics Refresher](
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https://stanford.edu/~shervine/teaching/cs-229/refresher-probabilities-statistics) From Stanford
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#### Lesson 8: Data Manipulation and Visualization
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- Case Study: Titanic Dataset
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- Understand Machine Learning Workflow
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- First EDA Training
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- Visualization: Matplotlib, Seaborn
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##### Homework:
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- Build your first model with scikit-learn
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##### Resources
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- [Matplotlib Official Guide](
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https://matplotlib.org) for Visualization
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- [Seaborn Official Guide](
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https://seaborn.pydata.org): Another great package to create beautiful charts
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- [Scikit-learn](https://scikit-learn.org/stable/user_guide.html): User Guide for machine learning
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#### Lesson 9: Black box machine learning

homework/L7_homework.md

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## Homework: L7
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What is the probability of getting exact one pair from 5 cards in a poker game?
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Given there 52 cards, 13 ranks and 4 patterns.
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