random-forests / handson-ml2Links
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
☆18Updated 5 years ago
Alternatives and similar repositories for handson-ml2
Users that are interested in handson-ml2 are comparing it to the libraries listed below
Sorting:
- Programming of Simulation, Analysis, and Learning Systems Course Materials☆39Updated last month
- ☆151Updated 3 years ago
- Data science and numerical computing with Julia☆59Updated 5 years ago
- Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.☆145Updated 4 months ago
- Random notebooks for various projects.☆89Updated last month
- Deep Learning from scratch in Julia☆12Updated 6 years ago
- Julia files inspired by Google's Machine Learning Crash Course☆24Updated 6 years ago
- Julia Jupyter/Colab Notebooks☆165Updated last month
- JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"☆144Updated 4 years ago
- Berlin Time Series Analysis Repository☆100Updated 2 years ago
- Workshop on Bayesian inference using PyMC☆27Updated 4 years ago
- Data Science in Julia With Hackers☆121Updated 2 years ago
- Mathematical Programming and Operations Research: Modeling, Algorithms, and Complexity. Examples in Python and Excel. Edited by Robert Hi…☆37Updated last month
- The SciML Scientific Machine Learning Software Organization Website☆66Updated this week
- One day workshop for machine learning with scikit-learn☆63Updated 2 years ago
- DEPRECATED IN FAVOR OF TuringLang/Turing-Workshop☆35Updated 4 years ago
- Repository for a workshop on Bayesian Decision Analysis☆74Updated 2 years ago
- Assets and Infrastructure for JuliaAcademy.com☆63Updated 3 years ago
- Applied Machine Learning with Python☆80Updated last year
- Tutorial on time-series forcasting with scikit-learn☆34Updated 2 years ago
- ☆13Updated 4 years ago
- ☆29Updated 4 years ago
- Global, derivative-free optimization for hyperparameter tuning☆44Updated last month
- PyData London 2022 Tutorial☆68Updated 3 years ago
- mlmachine accelerates machine learning experimentation☆29Updated 3 years ago
- Machine Learning with Time Series in Julia☆27Updated last month
- The Deep Learning with Julia book, using Flux.jl.☆88Updated 4 years ago
- vanilla machine learning☆112Updated 2 years ago
- Hypothesis and statistical testing in Python☆65Updated 5 years ago
- JuliaCon 2022 - Introduction to Julia Tutorial☆61Updated 3 years ago