jdwittenauer / ipython-notebooksLinks
A collection of IPython notebooks covering various topics.
☆2,609Updated 5 years ago
Alternatives and similar repositories for ipython-notebooks
Users that are interested in ipython-notebooks are comparing it to the libraries listed below
Sorting:
- Python coded examples and documentation of machine learning algorithms.☆610Updated 5 years ago
- Jupyter notebooks from the scikit-learn video series☆3,777Updated last year
- A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks☆4,211Updated 2 years ago
- Materials for my Pycon 2015 scikit-learn tutorial.☆899Updated 5 years ago
- General Assembly's Data Science course in Washington, DC☆801Updated 4 years ago
- Public material for CS109☆1,490Updated 3 years ago
- Materials for my scikit-learn tutorial☆1,825Updated 2 years ago
- Introduction to Statistics using Python☆915Updated 5 years ago
- Open Content for self-directed learning in data science☆2,988Updated 8 months ago
- Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way☆1,465Updated 8 years ago
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,820Updated 5 years ago
- Coursera Machine Learning - Python code☆865Updated 5 years ago
- Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques☆1,594Updated 6 years ago
- common data analysis and machine learning tasks using python☆5,696Updated last year
- Official content for Harvard CS109☆1,788Updated 3 years ago
- Statistical Data Analysis in Python☆1,722Updated 10 years ago
- A curated list of data science blogs☆6,367Updated last year
- Tutorial on scikit-learn and IPython for parallel machine learning☆1,599Updated 9 years ago
- Tutorials on how to use pandas effectively to do data analysis☆1,114Updated 3 years ago
- use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm☆922Updated 7 years ago
- Scikit-learn tutorial at SciPy2016☆519Updated 6 years ago
- Introduction to Deep Neural Networks with Keras and Tensorflow☆2,971Updated 2 years ago
- Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE☆1,959Updated 9 years ago
- General Assembly's 2015 Data Science course in Washington, DC☆1,625Updated last year
- Scikit-Learn tutorial material for Scipy 2015☆574Updated 10 years ago
- Repository of teaching materials, code, and data for my data analysis and machine learning projects.☆6,603Updated 2 years ago
- General Assembly's Data Science course in Washington, DC☆665Updated 5 years ago
- Ways of doing Data Science Engineering and Machine Learning in R and Python☆620Updated 4 years ago
- Numpy exercises.☆1,740Updated 2 years ago
- ☆878Updated 5 years ago