taspinar / numerical-moocLinks
A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.
☆10Updated 8 years ago
Alternatives and similar repositories for numerical-mooc
Users that are interested in numerical-mooc are comparing it to the libraries listed below
Sorting:
- Hypothesis and statistical testing in Python☆65Updated 5 years ago
- Bayesian statistics seminars☆29Updated 8 years ago
- Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.☆21Updated 3 years ago
- Repository for a workshop on Complexity Science☆39Updated 4 years ago
- Applied Machine Learning with Python☆80Updated last year
- Site for a Data Science class taught by Allen Downey☆45Updated 3 years ago
- Guidelines for the responsible use of explainable AI and machine learning.☆17Updated 2 years ago
- Presentations from meetups and conferences☆18Updated 5 years ago
- ☆30Updated 8 years ago
- Source code for the module "Advanced Statistics" 📊☆10Updated 6 years ago
- Survival Analysis with non-parametric, semi-parametric, and parametric models☆40Updated 7 years ago
- Multi-target Random Forest implementation that can mix both classification and regression tasks☆27Updated 5 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 8 years ago
- Explorations of survival analysis in Python☆50Updated 2 years ago
- PolYamoR is the first forward-reverse automated translation system between Python and R☆16Updated 8 years ago
- Jupyter notebooks for teaching hierarchical Bayesian modelling with Stan☆22Updated 7 years ago
- DeepLearningfromScratch2018☆20Updated 7 years ago
- Scikit-learn-compatible datasets☆16Updated 3 months ago
- The Path of the PyData Ninja☆16Updated 10 years ago
- Teaching materials for Python MixedLM (mixed linear models)☆48Updated 8 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated 2 years ago
- Syllabus for COS 597E/SOC 555 Limits to Prediction, Fall 2020, Princeton University☆29Updated 5 years ago
- Notebooks for the Course☆37Updated 8 years ago
- Time Series Modeling: ML and Deep Learning Approaches with Python☆22Updated 4 years ago
- Repository for an online class on Exploratory Data Analysis in Python☆67Updated 6 years ago
- How to use SHAP values for better cluster analysis☆59Updated 3 years ago
- Predict whether a student will correctly answer a problem based on past performance using automated feature engineering☆32Updated 5 years ago
- In which I implement some applications of machine learning techniques.☆31Updated 9 years ago
- Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.☆97Updated last year
- Pancake is a Python package which provides a simple API to stack scikit-learn models.☆28Updated 6 years ago