Data Science Project Ideas! (Python)

In this video, we walk through eight project ideas to help you build up your data science skills. All of the resources mentioned in the video can be found here in the description.

Covid-19 Analysis (2:16):
- Johns Hopkins Data: https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_series
- Code that I wrote: https://github.com/KeithGalli/Data-Science-Project-Ideas/blob/master/Covid/Covid%20Analysis.ipynb
- Kaggle: https://www.kaggle.com/covid19
- @sentdex kaggle video: https://youtu.be/S6GVXk6kbcs
- @3Blue1Brown simulations video: https://youtu.be/gxAaO2rsdIs

Board Game AI (3:16):
- Overview video: https://youtu.be/y7AKtWGOPAE
- Implementing minimax algorithm in python: https://youtu.be/MMLtza3CZFM
- Reinforcement learning (Snake) tutorial: https://towardsdatascience.com/how-to-teach-an-ai-to-play-games-deep-reinforcement-learning-28f9b920440a
- AlphaZero chess tutorial: https://towardsdatascience.com/create-ai-for-your-own-board-game-from-scratch-alpha-zero-part-3-f22761372245
- @DeepMind AlphaGo Documentary: https://youtu.be/WXuK6gekU1Y

Reddit, Data is Beautiful (4:50):
- Thread url: https://www.reddit.com/r/dataisbeautiful/
- Population changes chart: https://www.reddit.com/r/dataisbeautiful/comments/fr8q34/change_in_population_by_county_between_2010_and/
- S&P 500 recoveries chart: https://www.reddit.com/r/dataisbeautiful/comments/frzlbt/sp_500_recovers_during_major_crashes_oc/

Text Sentiment Analysis Tool (6:48):
- My full tutorial (machine learning w/ sklearn): https://youtu.be/M9Itm95JzL0
- Learn about Transformers: http://jalammar.github.io/illustrated-transformer/
- BERT Paper: https://arxiv.org/pdf/1810.04805.pdf
- Spacy NLP Library: https://explosion.ai/blog/spacy-transformers
- YouTube API: https://developers.google.com/youtube/v3/quickstart/python

Sports Analysis (8:34):
- My script to webscrape sports data: https://github.com/KeithGalli/Data-Science-Project-Ideas/blob/master/Sports/extract_data.py
- Basketball reference site that I scraped: https://www.basketball-reference.com/leagues/NBA_2020_per_game.html

Stock Trading Bot (10:12):
- Alpaca Site: https://alpaca.markets/
- Alpaca Tutorials: https://alpaca.markets/docs/get-started-with-alpaca/tutorial-videos/
- Quantopian (to learn more & backtest your trading strategies): https://www.quantopian.com/tutorials/getting-started

House Pricing Prediction (12:02):
- Link to competition: https://www.kaggle.com/c/house-prices-advanced-regression-techniques

Miscellaneous Kaggle Projects (13:06):
- Kaggle Data: https://www.kaggle.com/datasets
- Airbnb Data: https://www.kaggle.com/dgomonov/new-york-city-airbnb-open-data
- My real world data science tutorial: https://youtu.be/eMOA1pPVUc4

Hope you guys enjoyed this video! If you have any questions about any of these projects let me know in the comments. Like & Subscribe if you haven't already :).

Some skills you should hopefully take away from these projects:
- Analysis with Python Pandas Library
- Visualization with Python Matplotlib Library
- AI/Machine Learning skills with scikit learn library
- Regression Techniques
- Exploratory Data Analysis

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