ml_implementation and Machine-Learning
About ml_implementation
tobegit3hub/ml_implementation
Implementation of Machine Learning Algorithms
This project provides foundational machine learning algorithms implemented from scratch. It takes in raw data and mathematical concepts, outputting clear, step-by-step code that demonstrates how these algorithms work internally. This is ideal for students, educators, or researchers who need to understand the underlying mechanics of common machine learning methods.
About Machine-Learning
Gautam-J/Machine-Learning
Implementation of different ML Algorithms from scratch, written in Python 3.x
This project helps students and aspiring data scientists understand how foundational machine learning algorithms work at a detailed level. It takes raw datasets and runs algorithms like Linear Regression, Logistic Regression, K-Nearest Neighbors, and K-Means, outputting step-by-step visualizations of their training process. It's designed for someone learning the mathematical and intuitive basis of machine learning.
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