amitkaps / hackermathLinks
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
☆1,456Updated 7 years ago
Alternatives and similar repositories for hackermath
Users that are interested in hackermath are comparing it to the libraries listed below
Sorting:
- Introduction to Statistics using Python☆909Updated 4 years ago
- A collection of IPython notebooks covering various topics.☆2,609Updated 4 years ago
- General Assembly's 2015 Data Science course in Washington, DC☆1,615Updated last year
- A single handwritten digit classifier, using the MNIST dataset. Pure Numpy.☆786Updated 5 years ago
- Tutorials on how to use pandas effectively to do data analysis☆1,108Updated 2 years ago
- Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE☆1,957Updated 8 years ago
- Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques☆1,592Updated 5 years ago
- simple overview of python, numpy, scipy, matplotlib functions that are useful for scientific work☆587Updated 8 years ago
- Learning numerical computing with notebooks for all ages.☆773Updated last year
- The probability and statistics cookbook☆2,284Updated 2 years ago
- Ways of doing Data Science Engineering and Machine Learning in R and Python☆614Updated 4 years ago
- A list of awesome and proven Artificial Intelligence use cases and applications☆691Updated last year
- Open Content for self-directed learning in data science☆2,977Updated 4 months ago
- This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforwa…☆1,388Updated 5 years ago
- Python coded examples and documentation of machine learning algorithms.☆610Updated 5 years ago
- Materials for my Pycon 2015 scikit-learn tutorial.☆896Updated 4 years ago
- General Assembly's Data Science course in Washington, DC☆800Updated 4 years ago
- Scikit-learn tutorial at SciPy2016☆518Updated 6 years ago
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,811Updated 5 years ago
- common data analysis and machine learning tasks using python☆5,596Updated last year
- A (non overwhelming) list of Machine Learning resources for beginners☆624Updated 8 years ago
- Instructions for setting up the software on your deep learning machine☆1,974Updated 7 years ago
- ☆2,187Updated last week
- A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks☆4,194Updated last year
- The book "Annotated Algorithms in Python" and the nlib.py library☆1,331Updated 2 years ago
- A python tutorial on bayesian modeling techniques (PyMC3)☆2,509Updated 8 years ago
- Bare bone examples of machine learning in TensorFlow☆2,415Updated 8 years ago
- Machine Learning Problem Bible | Problem Set Here >>☆715Updated 5 years ago
- A collection of video resources for machine learning☆1,552Updated 4 years ago
- Tutorial on scikit-learn and IPython for parallel machine learning☆1,596Updated 8 years ago