Second edition of Springer Book Python for Probability, Statistics, and Machine Learning
☆379Sep 21, 2021Updated 5 years ago
Alternatives and similar repositories for Python-for-Probability-Statistics-and-Machine-Learning-2E
Users that are interested in Python-for-Probability-Statistics-and-Machine-Learning-2E are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"☆809Nov 12, 2022Updated 3 years ago
- Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)☆180Aug 21, 2017Updated 9 years ago
- A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python☆153Mar 21, 2026Updated 6 months ago
- Probability and Statistics repository for Python code and coursework review☆66Dec 8, 2020Updated 5 years ago
- General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python☆1,036Sep 18, 2022Updated 4 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- edX "Introduction to Computer Science and Programming Using Python" course☆11Oct 6, 2025Updated last year
- Cookbook of iPython Notebook Recipes☆18Sep 4, 2020Updated 6 years ago
- The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learni…☆754Sep 13, 2022Updated 4 years ago
- Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code☆685Aug 13, 2021Updated 5 years ago
- Learn how to use OpenML for reproducible, collaborative machine learning projects☆15Sep 23, 2026Updated 2 weeks ago
- Vestlus is a Django chat app with support for private and public channels.☆14Jul 23, 2020Updated 6 years ago
- A collection of #MachineLearning #Python Notebooks 🤖 🐍📚 that can be launched to the ☁️ for use and experimentation. No setup needed, …☆24Feb 18, 2020Updated 6 years ago
- Codebase for the paper "Adversarial Attacks on Time Series"☆22Mar 26, 2019Updated 7 years ago
- Logic Reinforcement Learning☆21Oct 20, 2025Updated 11 months ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Deep Learning for Computer Vision Practitioner Bundle examples and excercises☆11Apr 23, 2019Updated 7 years ago
- aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firs…☆28,181Jun 25, 2024Updated 2 years ago
- A reservoir computing implementation in Mathematica for financial time series prediction.☆12Jul 22, 2015Updated 11 years ago
- R & Python Codes for Computational Finance☆16May 28, 2026Updated 4 months ago
- Resources for STA 633 class☆171May 18, 2017Updated 9 years ago
- A Python Package for Portfolio Optimization using the Critical Line Algorithm☆27Aug 1, 2023Updated 3 years ago
- An Emacs utility to help you keep in touch with people☆11Feb 13, 2025Updated last year
- In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an…☆11Nov 4, 2021Updated 4 years ago
- R Package - Dynamical Systems Approach to Immune Response Modeling☆34Jul 27, 2026Updated 2 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A mirror of the Open Risk white paper collection☆10Sep 1, 2026Updated last month
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆930Jul 18, 2021Updated 5 years ago
- VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers☆890Sep 9, 2020Updated 6 years ago
- Implementation of term structure model project☆22Dec 26, 2015Updated 10 years ago
- ☆51Oct 21, 2025Updated 11 months ago
- An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code☆4,415Oct 27, 2022Updated 3 years ago
- Python code for "Probabilistic Machine learning" book by Kevin Murphy☆7,164Feb 26, 2026Updated 7 months ago
- Data Analyst ND Projects☆14Sep 25, 2020Updated 6 years ago
- Course work from MIT's "Introduction to Computer Science and Programming Using Python" on edX.☆13Aug 1, 2017Updated 9 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Lectures on "crime and political corruption analysis using data mining, machine learning and complex networks" at the School of Applied M…☆45Jul 7, 2019Updated 7 years ago
- ☆1,090Mar 27, 2023Updated 3 years ago
- muRisQ Advisory: Interest Rate Models for Derivatives.☆16Oct 9, 2022Updated 4 years ago
- Code repository for O'Reilly book☆3,413Aug 16, 2026Updated last month
- Code for the book Art of Feature Engineering☆33Feb 7, 2022Updated 4 years ago
- Deep Learning and Training dicom file with Caffe and Regression Prediction by age label.☆15Dec 17, 2017Updated 8 years ago
- Materials for the tutorial on Gaussian Processes and Bayesian Optimization☆10Aug 23, 2019Updated 7 years ago