Machine_learning_a Z
Learning to create Machine Learning Algorithms
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Nni | 12,653 |  | 8 | 22 | 18 hours ago | 51 | June 22, 2022 | 285 | mit | Python |
| An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning. | ||||||||||
| Python Machine Learning Book | 11,645 | 7 months ago | 11 | mit | Jupyter Notebook | |||||
| The "Python Machine Learning (1st edition)" book code repository and info resource | ||||||||||
| Mlalgorithms | 8,809 | a year ago | 8 | mit | Python | |||||
| Minimal and clean examples of machine learning algorithms implementations | ||||||||||
| Learn Data Science For Free | 4,899 | 2 months ago | 5 | gpl-3.0 | ||||||
| This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in Twitter. | ||||||||||
| Machine_learning_basics | 3,754 | 5 months ago | 2 | mit | Jupyter Notebook | |||||
| Plain python implementations of basic machine learning algorithms | ||||||||||
| Igel | 2,964 | a year ago | 34 | November 19, 2021 | 5 | mit | Python | |||
| a delightful machine learning tool that allows you to train, test, and use models without writing code | ||||||||||
| Papers Literature Ml Dl Rl Ai | 1,798 | a month ago | 1 | mit | ||||||
| Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning | ||||||||||
| Sod | 1,449 | 2 years ago | 4 | other | C | |||||
| An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable) | ||||||||||
| Machine Learning Flappy Bird | 1,443 | 5 years ago | 6 | mit | JavaScript | |||||
| Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm | ||||||||||
| Machine_learning_refined | 1,247 | 12 days ago | 1 | other | Python | |||||
| Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press). | ||||||||||
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Readme
Machine Learning A-Z
A step towards Data Science and Machine Learning
Contains the code and implementation of the following topics and techniques:
-
Data Preprocessing
- Importing the dataset
- Dealing with missing data
- Splitting the data into test set and training set
- Feature Scalling
-
Regression
- Simple Linear Regression
- Multiple Linear Regression
- Polynomial Linear Regression
- Support Vector Regression (SVR)
- Decision Tree Regression
- Random Forest Regression
-
Classification
- Logistic Regression
- K-Nearest Neighbors (K-NN)
- Support Vector Machine (SVM)
- Kernel SVM
- Naive Bayes
- Decision Tree Classifiers
- Random Forest Classifiers
-
Clustering
- K-Means Clustering
- Hierarchical Clustering
-
Association Rule Learning
- Apriori
-
Deep Learning
- Artifial Neural Networks (ANN)
- Convolutional Neural Networks (CNN)
- Recommendation for ML Enthusiasts: Machine Learning A-Z™: Hands-On Python & R In Data Science
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Python
Neural Network
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Machine Learning Algorithms
Linear Regression
Logistic Regression
Data Processing