LeiG / Applied-Predictive-Modeling-with-PythonLinks
A collection of notebook to learn the Applied Predictive Modeling using Python.
☆278Updated 8 years ago
Alternatives and similar repositories for Applied-Predictive-Modeling-with-Python
Users that are interested in Applied-Predictive-Modeling-with-Python are comparing it to the libraries listed below
Sorting:
- Introduction to Statistical Modeling with Python (PyCon 2017)☆168Updated 4 years ago
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆326Updated 2 years ago
- ☆110Updated 3 years ago
- Resources for the PyCon 2017 tutorial, "Exploratory data analysis in python"☆237Updated 2 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 8 years ago
- Introduction to Machine learning with Python, 4h interactive workshop☆311Updated 5 years ago
- Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)☆180Updated 7 years ago
- Walkthrough exercises from PandasTutorial by Wes McKinney.☆150Updated 4 years ago
- ☆98Updated 6 years ago
- ☆213Updated 4 years ago
- Code material for a data science tutorial☆197Updated 8 years ago
- iPython NOtebooks on Stats☆164Updated 11 months ago
- A complete daily plan for studying to become a machine learning engineer.☆52Updated 8 years ago
- General Assembly's Data Science course in Washington, DC☆185Updated 2 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- Notes and Python scripts for A/B or Split Testing☆141Updated 2 years ago
- Code for a workshop on statistical interference using computational methods in Python.☆225Updated 4 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆378Updated 9 years ago
- Advanced Machine Learning with Scikit-learn part I☆142Updated 5 years ago
- Using Project Jupyter for data science.☆259Updated 4 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 6 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆286Updated 7 years ago
- 📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines☆160Updated 2 years ago
- Tutorial: Bayesian Statistical Analysis in Python☆319Updated 6 years ago
- Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.☆105Updated 7 years ago
- Public Repository for cs109a, 2017 edition☆327Updated last year
- A curated list of awesome Machine Learning frameworks, libraries and software.☆39Updated 9 years ago
- Lessons learned the hard way through over 30+ data science interviews☆227Updated 4 years ago
- Advanced Machine Learning with Scikit-learn part II☆164Updated 5 years ago
- Materials for GWU DNSC 6279 and DNSC 6290.☆239Updated 2 months ago