jphall663 / GWU_data_mining
Materials for GWU DNSC 6279 and DNSC 6290.
☆237Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for GWU_data_mining
- Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA☆135Updated 7 years ago
- COMS W4995 Applied Machine Learning - Spring 18☆158Updated 5 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆164Updated 5 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆270Updated 7 years ago
- Basics of programming: algorithms, data structures, object oriented programming☆94Updated 6 years ago
- Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph☆263Updated 4 years ago
- Public Repository for cs109a, 2017 edition☆326Updated last year
- Advanced Machine Learning with Scikit-learn part II☆162Updated 4 years ago
- Materials for the "Introduction to Machine Learning" class☆228Updated 5 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆246Updated 6 years ago
- Presentations from H2O meetups & conferences by the H2O.ai team☆409Updated last year
- H2O.ai Machine Learning Interpretability Resources☆484Updated 3 years ago
- Slides and code examples for H2O tutorials at various events☆56Updated 7 years ago
- Code material for a data science tutorial☆195Updated 7 years ago
- Example Python DS project☆71Updated 6 years ago
- Advanced Machine Learning with Scikit-learn part I☆140Updated 4 years ago
- Introduction to Statistical Modeling with Python (PyCon 2017)☆167Updated 4 years ago
- ☆155Updated 4 years ago
- Official Public site for CS109a Fall 2018☆34Updated 6 years ago
- Data Analytics, Statistics, Visualization (R / Python)☆91Updated 7 years ago
- Implementation of different machine learning techniques☆94Updated 6 years ago
- This repo holds the code for the 1st place entry in the Walmart 2014 sales forecasting competition hosted on Kaggle.☆133Updated 6 years ago
- Lessons learned the hard way through over 30+ data science interviews☆225Updated 4 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆284Updated 7 years ago
- Personal repository of data science demonstrations and references☆74Updated last year
- Material for Talk at PyData Seattle 2017☆168Updated 6 years ago