amitkaps / hackermath
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
☆1,445Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for hackermath
- Introduction to Statistics using Python☆899Updated 4 years ago
- Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques☆1,579Updated 5 years ago
- A collection of IPython notebooks covering various topics.☆2,611Updated 4 years ago
- General Assembly's 2015 Data Science course in Washington, DC☆1,607Updated 5 months ago
- Tutorials on how to use pandas effectively to do data analysis☆1,104Updated last year
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,786Updated 4 years ago
- The probability and statistics cookbook☆2,246Updated last year
- ☆2,195Updated 3 weeks ago
- Ways of doing Data Science Engineering and Machine Learning in R and Python☆594Updated 3 years ago
- Open Content for self-directed learning in data science☆2,962Updated 10 months ago
- A list of awesome and proven Artificial Intelligence use cases and applications☆664Updated 10 months ago
- Statistical Data Analysis in Python☆1,589Updated 9 years ago
- A curated list of data science blogs☆6,318Updated 5 months ago
- Scikit-learn tutorial at SciPy2016☆514Updated 5 years ago
- A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks☆4,150Updated 11 months ago
- Instructions for setting up the software on your deep learning machine☆1,980Updated 6 years ago
- common data analysis and machine learning tasks using python☆5,275Updated 7 months ago
- simple overview of python, numpy, scipy, matplotlib functions that are useful for scientific work☆580Updated 7 years ago
- A python tutorial on bayesian modeling techniques (PyMC3)☆2,485Updated 7 years ago
- Various ipython notebooks☆1,545Updated 6 years ago
- This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforwa…☆1,383Updated 5 years ago
- Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE☆1,946Updated 8 years ago
- Tutorial on scikit-learn and IPython for parallel machine learning☆1,592Updated 8 years ago
- A (non overwhelming) list of Machine Learning resources for beginners☆625Updated 7 years ago
- Python coded examples and documentation of machine learning algorithms.☆613Updated 4 years ago
- Machine Learning Problem Bible | Problem Set Here >>☆718Updated 4 years ago
- Scikit-Learn tutorial material for Scipy 2015☆576Updated 9 years ago