ferlocar / spring_2019_data_mining
Introduction to Data Science
☆13Updated 5 years ago
Alternatives and similar repositories for spring_2019_data_mining:
Users that are interested in spring_2019_data_mining are comparing it to the libraries listed below
- ☆108Updated 3 years ago
- An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.☆299Updated 6 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆271Updated 8 years ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆133Updated 4 years ago
- Notes for the "Introduction to Programming for Data Science" class☆39Updated 2 months ago
- The course work for the applied machine learning course I am teaching at BYU☆136Updated 4 years ago
- Material and note of the course of Applied ML in Python☆116Updated 2 years ago
- Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.☆556Updated 7 years ago
- Introduction to Statistical Modeling with Python (PyCon 2017)☆166Updated 4 years ago
- Notebooks for https://python.quantecon.org☆236Updated last month
- Youtube tutorial associated content☆124Updated 5 years ago
- Bayesian statistical modelling using numpy and PyMC3. Telling stories using the language of probability. And more!☆16Updated 5 years ago
- Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison☆493Updated 6 years ago
- The MOOCs I learnt myself. The repo is kept as a record for myself.☆8Updated 2 years ago
- Experimenting with and teaching probabilistic programming☆103Updated 2 years ago
- SciPy 2017 Pandas Tutorial☆161Updated 4 years ago
- This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.☆752Updated 4 years ago
- Pandas tutorial for SciPy 2019☆101Updated last year
- Introduction to Machine learning with Python, 4h interactive workshop☆309Updated 4 years ago
- Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.☆105Updated 7 years ago
- ☆35Updated 7 years ago
- A collection of notebooks of my Machine Learning class written in python 3☆44Updated 6 years ago
- UCSanDiegoX edX Course DSE210x Statistics and Probability in Data Science using Python☆60Updated 6 years ago
- Code for a tutorial on Bayesian Statistics by Allen Downey.☆349Updated 4 years ago
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆320Updated last year
- Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code☆676Updated 3 years ago
- ☆100Updated 6 years ago
- Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications☆441Updated 3 months ago
- Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath☆844Updated 4 years ago
- This is the course repository for w241 and 290 -- Experiments and Causality.☆16Updated 3 years ago