VincentGranville / Point-ProcessesLinks
This repository contains the material (datasets, code, videos, spreadsheets) related to my book Stochastic Processes and Simulations - A Machine Learning Perspective.
☆53Updated 3 years ago
Alternatives and similar repositories for Point-Processes
Users that are interested in Point-Processes are comparing it to the libraries listed below
Sorting:
- My book: Gentle Introduction to Chaotic Dynamical Systems. Includes stochastic dynamical systems and statistical properties of numeratio…☆46Updated last year
- Main folder. Material related to my books on synthetic data and generative AI. Also contains documents blending components from several f…☆100Updated last year
- Statistical optimization for AI and machine learning☆61Updated last year
- Material related to my book Intuitive Machine Learning. Some of this material is also featured in my new book Synthetic Data and Generati…☆125Updated 7 months ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆105Updated 2 years ago
- Research on number theory conjectures, leading to the development of new machine learning techniques, initially applied to math problems …☆25Updated 4 months ago
- Cleaning Data for Effective Data Science, published by Packt☆102Updated last month
- References to the Medium articles☆86Updated 3 years ago
- Visualizations for machine learning, high dimensional data, including creation of MP4 videos and animated Gifs in Python.☆33Updated 2 years ago
- ☆12Updated 2 years ago
- Repository for the book Simplifying Machine Learning with PyCaret.☆66Updated 2 years ago
- Code repository for "Modern Statistics: A Computer Based Approach with Python" and "Industrial Statistics: A Computer Based Approach with…☆108Updated 2 months ago
- Code used to obtain results for my medium articles☆76Updated 2 years ago
- Explorations of survival analysis in Python☆50Updated 2 years ago
- sktime - python toolbox for time series: pipelines and transformers☆25Updated 3 years ago
- A collection of resources for learning and research.☆97Updated 8 months ago
- Forecasting: Principles and Practice☆61Updated 4 years ago
- Machine Learning for Streaming Data with Python, published by Packt☆73Updated last month
- Includes material (code + description) that I turned into notebooks☆51Updated 2 years ago
- Slides for "Feature engineering for time series forecasting" talk☆66Updated 3 years ago
- Data Cleaning and Exploration with Machine Learning☆61Updated last month
- Repository for a workshop on Bayesian Decision Analysis☆74Updated 2 years ago
- A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session☆32Updated 3 years ago
- Demo of Hydra☆18Updated 3 years ago
- Python Feature Engineering Cookbook, Third Edition, published by Packt☆65Updated last month
- Course materials for introductory data science☆62Updated 2 years ago
- Applied Machine Learning Explainability Techniques, published by Packt☆248Updated last month
- ☆151Updated 4 years ago
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆20Updated 3 years ago
- Code repository for the book feature selection in machine learning☆40Updated 9 months ago