madhug-nadig / Machine Learning Algorithms From Scratch
Implementing machine learning algorithms from scratch.
Stars: ✭ 297
Programming Languages
python
139335 projects - #7 most used programming language
Projects that are alternatives of or similar to Machine Learning Algorithms From Scratch
ml-ai
ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions
Stars: ✭ 32 (-89.23%)
Mutual labels: machine-learning-algorithms, supervised-learning, unsupervised-learning
Free Ai Resources
🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
Stars: ✭ 192 (-35.35%)
Mutual labels: machine-learning-algorithms, unsupervised-learning, supervised-learning
Ml Lib
An extensive machine learning library, made from scratch (Python).
Stars: ✭ 102 (-65.66%)
Mutual labels: machine-learning-algorithms, unsupervised-learning, supervised-learning
Php Ml
PHP-ML - Machine Learning library for PHP
Stars: ✭ 7,900 (+2559.93%)
Mutual labels: machine-learning-algorithms, unsupervised-learning, supervised-learning
Cleanlab
The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.
Stars: ✭ 2,526 (+750.51%)
Mutual labels: machine-learning-algorithms, unsupervised-learning
Homlr
Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.
Stars: ✭ 185 (-37.71%)
Mutual labels: unsupervised-learning, supervised-learning
L2c
Learning to Cluster. A deep clustering strategy.
Stars: ✭ 262 (-11.78%)
Mutual labels: unsupervised-learning, supervised-learning
MLclass
My main Machine Learning class
Stars: ✭ 56 (-81.14%)
Mutual labels: machine-learning-algorithms, supervised-learning
Heart disease prediction
Heart Disease prediction using 5 algorithms
Stars: ✭ 43 (-85.52%)
Mutual labels: machine-learning-algorithms, supervised-learning
Clustering Algorithms from Scratch
Implementing Clustering Algorithms from scratch in MATLAB and Python
Stars: ✭ 170 (-42.76%)
Mutual labels: machine-learning-algorithms, unsupervised-learning
machine learning from scratch matlab python
Vectorized Machine Learning in Python 🐍 From Scratch
Stars: ✭ 28 (-90.57%)
Mutual labels: supervised-learning, unsupervised-learning
machine-learning
Programming Assignments and Lectures for Andrew Ng's "Machine Learning" Coursera course
Stars: ✭ 83 (-72.05%)
Mutual labels: supervised-learning, unsupervised-learning
machine-learning-course
Machine Learning Course @ Santa Clara University
Stars: ✭ 17 (-94.28%)
Mutual labels: supervised-learning, unsupervised-learning
Machine Learning Models
Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means
Stars: ✭ 160 (-46.13%)
Mutual labels: machine-learning-algorithms, supervised-learning
Remixautoml
R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.
Stars: ✭ 159 (-46.46%)
Mutual labels: unsupervised-learning, supervised-learning
Stanford Cs 229 Machine Learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
Stars: ✭ 12,827 (+4218.86%)
Mutual labels: unsupervised-learning, supervised-learning
Karateclub
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Stars: ✭ 1,190 (+300.67%)
Mutual labels: unsupervised-learning, supervised-learning
Complete Life Cycle Of A Data Science Project
Complete-Life-Cycle-of-a-Data-Science-Project
Stars: ✭ 140 (-52.86%)
Mutual labels: unsupervised-learning, supervised-learning
sutton-barto-rl-exercises
📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction
Stars: ✭ 77 (-74.07%)
Mutual labels: supervised-learning, unsupervised-learning
zoofs
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
Stars: ✭ 142 (-52.19%)
Mutual labels: machine-learning-algorithms, supervised-learning
Machine-Learning-Algorithms-from-Scratch
Implementing machine learning algorithms from scratch.
Algorithms implemented so far:
-
Simple Linear Regression.
Dataset: Stock data from Quandl -
Logistic Regression.
Dataset: Stanford ML course dataset -
Naive Bayes Classifier.
Dataset: Email spam/non-span -
Decision Trees
-
K Nearest Neighbours.
K Nearest Neighbours in Parallel.
Dataset: Chronic Kidney disease data from UCI -
A-Star Algorithm
-
K Means Clustering.
K Means Clustering in Parallel.
Dataset: IPL player stats norm data -
Support Vector Machine
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].