Skip to content
#

machine-learning-algorithms

Star

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.

Here are 290 public repositories matching this topic...

Language: Jupyter Notebook
Filter by language
All 290 Jupyter Notebook 265 HTML 9 Python 5 CSS 1 R 1 TeX 1
Sort: Most stars
Sort options
Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

maykulkarni / Machine-Learning-Notebooks

Star 468

Machine Learning notebooks for refreshing concepts.

python machine-learning natural-language-processing reinforcement-learning deep-learning machine-learning-algorithms neural-networks deep-learning-algorithms dimensionality-reduction python-machine-learning data-processing regression-models deep-learning-tutorial data-science-notebook model-evaluation classification-trees clustering-methods machine-learning-tutorials
  • Updated Aug 24, 2021
  • Jupyter Notebook

aurimas13 / Machine-Learning-Goodness

Star 253

The Machine Learning project including ML/DL projects, notebooks, cheat codes of ML/DL, useful information on AI/AGI and codes or snippets/scripts/tasks with tips.

python computer-science data-science machine-learning deep-neural-networks reinforcement-learning algorithms machine-learning-algorithms tips deep-reinforcement-learning python3 artificial-intelligence reinforcement-learning-algorithms tips-and-tricks cheatsheets mlops gpt4 artifcial-intelligence chatgpt
  • Updated Nov 28, 2023
  • Jupyter Notebook

arnaldog12 / Machine_Learning

Star 211

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

python machine-learning neural-network naive-bayes linear-regression machine-learning-algorithms regression feature-selection logistic-regression kmeans adaboost decision-trees polynomial-regression knn principal-component-analysis redes-neurais-artificiais linear-discriminant-analysis multilinear-regression
  • Updated Apr 27, 2022
  • Jupyter Notebook

curiousily / Machine-Learning-from-Scratch

Sponsor
Star 154

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

data-science machine-learning reinforcement-learning sentiment-analysis book notebook machine-learning-algorithms regression artificial-intelligence neural-networks classification recommender-systems
  • Updated Jul 5, 2023
  • Jupyter Notebook

Olow304 / Data-Science-Machine-Learning

Star 104

The overall objective of this toolkit is to provide and offer a free collection of data analysis and machine learning that is specifically suited for doing data science. Its purpose is to get you started in a matter of minutes. You can run this collections either in Jupyter notebook or python alone.

python data-science machine-learning roadmap deep-learning toolkit best-practices numpy sklearn machine-learning-algorithms jupyter-notebook pandas cheatsheet matplotlib all cheatsheets mindmap popular-posts machine-learning-tutorials data-science-toolkit
  • Updated Jan 14, 2018
  • Jupyter Notebook

SiddheshBangar / Learn-Machine-Learning

Star 19

The "Learn-Machine-Learning" repository on GitHub is a collection of resources and code examples aimed at helping beginners learn the basics of machine learning. The repository includes various Jupyter notebooks and Python scripts that cover topics such as data preprocessing, regression, classification and clustering.

data-science machine-learning machine-learning-algorithms
  • Updated Jul 22, 2023
  • Jupyter Notebook
Followers
76.9k followers
Wikipedia
Wikipedia