Stephen-Rimac / Python-for-Data-ScientistsLinks
Deliverable: This Jupyter notebook will help aspiring data scientists learn and practice the necessary python code needed for many data science projects.
☆115Updated 5 years ago
Alternatives and similar repositories for Python-for-Data-Scientists
Users that are interested in Python-for-Data-Scientists are comparing it to the libraries listed below
Sorting:
- Machine learning with Python tutorial at MSU Data Science 2018☆111Updated 7 years ago
- Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph☆270Updated 5 years ago
- COMS W4995 Applied Machine Learning - Spring 19☆303Updated 6 years ago
- This is the code for "Kaggle Challenge LIVE" By Siraj Raval on Youtube☆120Updated 7 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 7 years ago
- Implementation of different machine learning techniques☆94Updated 7 years ago
- Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma☆123Updated 8 years ago
- This repo has moved to https://github.com/INRIA/scikit-learn-mooc/☆42Updated 5 years ago
- Collection of Jupyter Notebooks about Python programming☆166Updated 9 years ago
- Basics of programming: algorithms, data structures, object oriented programming☆93Updated 7 years ago
- IPython widgets, interactive plots, interactive machine learning☆150Updated 6 years ago
- Resources for STA 633 class☆171Updated 8 years ago
- Created the contents of this repo originally for a workshop I gave at UCLA☆112Updated 5 years ago
- Code material for a data science tutorial☆197Updated 8 years ago
- Materials for GWU DNSC 6279 and DNSC 6290.☆240Updated 6 months ago
- ☆69Updated 6 years ago
- My projects for fast.ai's Deep Learning from the Foundations course (fast.ai part2v3)☆39Updated 6 years ago
- An exploratory data analysis and data visualization project for World Cup 2018☆39Updated 7 years ago
- Repository of all the python codes for the Book : Practical Statistics for Data Scientists.☆25Updated 6 years ago
- Materials for Introduction to Python.☆52Updated 6 months ago
- COMS W4995 Applied Machine Learning - Spring 18☆157Updated 6 years ago
- ☆83Updated 4 years ago
- Materials for the "Introduction to Machine Learning" class☆227Updated 6 years ago
- Companion code for my video course on Practical Python Data Science Techniques, published by Packt Publishing☆33Updated 8 years ago
- Stanford Machine Learning course exercises implemented with scikit-learn☆349Updated 5 years ago
- A repo with tutorials for algorithms from scratch☆100Updated 7 years ago
- Data Science Best Practices with pandas☆531Updated 5 years ago
- Python Deep Learning Cookbook, published by Packt☆141Updated 2 years ago
- ☆133Updated last year
- Source code for 'Monetizing Machine Learning' by Manuel Amunategui and Mehdi Roopaei☆137Updated 7 years ago