amitkaps / weed
Analysing Weed Pricing across US - Data Analysis Workshop
☆128Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for weed
- Scikit-Learn Tutorial for PyData Seattle 2015☆136Updated 9 years ago
- Machine learning with scikit-learn tutorial at PyData Chicago 2016☆128Updated 8 years ago
- DePy 2015 Talk☆117Updated 6 years ago
- Presentation at Perth Data Science Meetup, February 2015☆72Updated 9 years ago
- A collection of tools to collect and download various data.☆209Updated 7 years ago
- Pandas tutorial for SciPy2015 and SciPy2016 conference☆142Updated 7 years ago
- General Assembly's Data Science course in Washington, DC☆232Updated 5 months ago
- Curated list of all dataset websites that I find☆84Updated 6 years ago
- PyData, The Complete Works of☆298Updated 7 years ago
- Course materials for teaching data visualization in Python.☆170Updated 8 years ago
- EuroScipy 2014 tutorial: Introduction to predictive analytics with pandas and scikit-learn☆84Updated 10 years ago
- Translating R Data Analyses to Python☆281Updated 6 years ago
- All Kaggle competitions☆91Updated 8 years ago
- PythonForDataScience☆154Updated 8 years ago
- Deep Learning for Pugs☆74Updated 7 years ago
- For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8☆115Updated 3 years ago
- Official content for the Fall 2014 Harvard CS109 Data Science course☆317Updated 7 years ago
- General Assembly repo for Data Science 18☆36Updated 9 years ago
- Pydata NYC 2014 Scikit Learn Tutorial☆64Updated 9 years ago
- Tutorial: Machine Learning with Text in scikit-learn☆74Updated 8 years ago
- PyCon 2015☆141Updated 2 years ago
- ☆62Updated 8 years ago
- Code for Learning with Data Blog☆64Updated 7 years ago
- PyData NYC 2015 conference☆94Updated 9 years ago
- A primer for data science tools in Python☆56Updated 5 years ago
- 12 Week Data Science Immersive☆26Updated 9 years ago
- Solution code from my winning submission to Kaggle's PyCon 2015 competition☆55Updated 9 years ago
- Introduction to Machine Learning, a series of IPython Notebook and accompanying slideshow and video☆102Updated 5 years ago