amitkaps / hackermathLinks
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
☆1,459Updated 8 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☆913Updated 5 years ago
- General Assembly's 2015 Data Science course in Washington, DC☆1,622Updated last year
- A list of awesome and proven Artificial Intelligence use cases and applications☆692Updated last year
- A collection of IPython notebooks covering various topics.☆2,610Updated 5 years ago
- Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques☆1,593Updated 6 years ago
- Tutorials on how to use pandas effectively to do data analysis☆1,112Updated 3 years ago
- simple overview of python, numpy, scipy, matplotlib functions that are useful for scientific work☆588Updated 8 years ago
- The probability and statistics cookbook☆2,290Updated 2 years ago
- Python coded examples and documentation of machine learning algorithms.☆609Updated 5 years ago
- Learning numerical computing with notebooks for all ages.☆772Updated 2 years ago
- A single handwritten digit classifier, using the MNIST dataset. Pure Numpy.☆787Updated 6 years ago
- Open Content for self-directed learning in data science☆2,984Updated 6 months ago
- General Assembly's Data Science course in Washington, DC☆800Updated 4 years ago
- Ways of doing Data Science Engineering and Machine Learning in R and Python☆617Updated 4 years ago
- A (non overwhelming) list of Machine Learning resources for beginners☆624Updated 8 years ago
- A collection of video resources for machine learning☆1,552Updated 4 years ago
- Visualize GitHub's most popular repos. http://www.donnemartin.com/viz☆812Updated 7 years ago
- A repository with IPython notebooks of algorithms implemented in Python.☆514Updated 8 years ago
- Public material for CS109☆1,487Updated 3 years ago
- Tutorial on scikit-learn and IPython for parallel machine learning☆1,600Updated 9 years ago
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,814Updated 5 years ago
- General Assembly's Data Science course in Washington, DC☆665Updated 5 years ago
- Scikit-learn tutorial at SciPy2016☆518Updated 6 years ago
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆331Updated 2 years ago
- Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE☆1,959Updated 9 years ago
- A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks☆4,208Updated 2 years ago
- This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforwa…☆1,387Updated 6 years ago
- ☆2,187Updated 3 weeks ago
- 101 real world web scraping exercises in Python 3 for data journalists☆1,240Updated 4 years ago
- Materials for my Pycon 2015 scikit-learn tutorial.☆898Updated 5 years ago