DataForScience / ProbabilityLinks
Applied Probability Theory for Everyone
☆119Updated last year
Alternatives and similar repositories for Probability
Users that are interested in Probability are comparing it to the libraries listed below
Sorting:
- Network and Graph Algorithms From Scratch☆112Updated 2 years ago
- Data Visualization With Matplotlib and Seaborn☆111Updated last year
- Statistical Methods & Applied Mathematics in Data Science, Published by Packt☆28Updated 4 years ago
- Deep Learning From Scratch☆139Updated 2 years ago
- Utility functions for "Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python"☆79Updated last year
- Mastering Machine Learning Algorithms Second Edition, published by Packt☆64Updated 4 years ago
- Code for the book Art of Feature Engineering☆33Updated 3 years ago
- ☆153Updated last month
- Machine Learning Algorithms Second Edition, published by Packt☆67Updated last year
- Repository for an online class on Exploratory Data Analysis in Python☆67Updated 5 years ago
- Statistics for Machine Learning, published by Packt☆160Updated 2 years ago
- An introduction to Bayesian statistics using Python and (coming soon) R.☆134Updated 2 years ago
- ☆49Updated 2 years ago
- Practical Machine Learning with TensorFlow 2.0 and Scikit-Learn [Video], published by Packt☆56Updated last month
- Explorations of survival analysis in Python☆49Updated 2 years ago
- Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition☆74Updated 6 years ago
- Cleaning Data for Effective Data Science, published by Packt☆101Updated last month
- Code repository for Building Machine Learning Systems with Python Third Edition, by Packt☆95Updated 3 years ago
- Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/☆55Updated last year
- Machine Learning with sklearn tutorials (for Pearson)☆110Updated 2 years ago
- The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to imp…☆133Updated last month
- ☆34Updated last month
- Learn Python by Building Data Science Applications, published by Packt☆98Updated last year
- Applied Machine Learning with Python☆80Updated last year
- Time Series Modeling: ML and Deep Learning Approaches with Python☆22Updated 4 years ago
- Hands-On Statistics for Data Science, published by Packt☆34Updated last month
- ⭕️ Data Engineering for Data Scientists☆78Updated 2 years ago
- TensorFlow 2.x Jupyter Notebooks☆46Updated 5 years ago
- ☆26Updated 4 years ago
- Templates, code and notes for Kirill Eremenko's Machine Learning course☆75Updated 5 years ago