VincentGranville / Point-Processes
This repository contains the material (datasets, code, videos, spreadsheets) related to my book Stochastic Processes and Simulations - A Machine Learning Perspective.
☆45Updated 2 years ago
Alternatives and similar repositories for Point-Processes:
Users that are interested in Point-Processes are comparing it to the libraries listed below
- My book: Gentle Introduction to Chaotic Dynamical Systems. Includes stochastic dynamical systems and statistical properties of numeratio…☆36Updated 2 months ago
- Research on number theory conjectures, leading to the development of new machine learning techniques, initially applied to math problems …☆20Updated last week
- Statistical optimization for AI and machine learning☆54Updated 3 months ago
- Material related to my book Intuitive Machine Learning. Some of this material is also featured in my new book Synthetic Data and Generati…☆106Updated last year
- Includes material (code + description) that I turned into notebooks☆50Updated last year
- Main folder. Material related to my books on synthetic data and generative AI. Also contains documents blending components from several f…☆90Updated 6 months ago
- A repository containing data and files for my stories on Medium.com.☆56Updated last month
- Repository for the book Simplifying Machine Learning with PyCaret.☆65Updated last year
- Materials for conference talks and workshops☆31Updated last year
- Data Cleaning and Exploration with Machine Learning☆53Updated 2 years ago
- ☆28Updated 3 years ago
- Time Series Analysis with Python Cookbook, Second Edition - Published by Packt☆37Updated this week
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆17Updated 2 years ago
- XGBoost for Regression Predictive Modeling and Time Series Analysis, published by Packt☆25Updated 2 months ago
- Machine Learning for Streaming Data with Python, published by Packt☆69Updated last year
- Cleaning Data for Effective Data Science, published by Packt☆97Updated 2 years ago
- Code repository for "Modern Statistics: A Computer Based Approach with Python" and "Industrial Statistics: A Computer Based Approach with…☆99Updated 7 months ago
- Slides for "Feature engineering for time series forecasting" talk☆58Updated 2 years ago
- ☆15Updated 5 months ago
- Code repository for the course "Forecasting with Machine Learning Models"☆20Updated last week
- An Interactive Approach to Understanding Supervised Learning Algorithms☆29Updated 2 years ago
- Forecasting: Principles and Practice☆59Updated 3 years ago
- Repository for GH public projects☆18Updated last year
- Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting☆26Updated 2 years ago
- How to Interpret SHAP Analyses: A Non-Technical Guide☆52Updated 3 years ago
- a catch-all repo☆11Updated last year
- Source Code for 'Applied Data Science Using PySpark' by Ramcharan Kakarla, Sundar Krishnan, and Sridhar Alla☆45Updated 3 years ago
- Visualizations for machine learning, high dimensional data, including creation of MP4 videos and animated Gifs in Python.☆27Updated last year
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆102Updated last year
- A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session☆33Updated 2 years ago