machine-learning-basics
There are 15 repositories under machine-learning-basics topic.
DaWe1992/Applied_ML_Fundamentals
π DHBW Lecture Notes "Applied ML Fundamentals" π€
m-clark/R-III-Modeling
Using models to understand relationships and make predictions.
AhhyeonC/machine_learning_basic
Python code for Makoto Ito's "Textbooks of Machine Learning Learning with Python (Korean Edition)". 'νμ΄μ¬μΌλ‘ λ°°μ°λ λ¨Έμ λ¬λμ κ΅κ³Όμ' μ± μ μ€λ¦° νμ΄μ¬ μ½λμ λλ€.
Raj-Shah1/Machine-Learning-A-Z-Python-Udemy
Machine Learning A-Z Course in Python Language
Sabdikay/Markov-Chain-Text-Generator
This project is a Markov Chain-based text generator implemented in Python. It processes a given text file to build a probabilistic model of word sequences, allowing it to generate new, coherent text that mimics the style and structure of the input.
zjliu1984/machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
zoppellarielena/Exercises-for-Machine-Learning
In this repository, you'll find a set of Python exercises focused on fundamental machine learning concepts using scikit-learn library.
amberkakkar01/Maching-Learning-Basic-Libraries
This repository contains all the basics library for machine learning.
Bushra-Butt-17/Gradient-Descent-Implementation
A Python implementation of Gradient Descent for solving Multiple Linear Regression. This project demonstrates how the algorithm is used to minimize the Mean Squared Error (MSE) cost function and optimize the regression coefficients.
macabdul9/knn-with-mnist-datasets
running knn on mnist dataset for numeric digit detection
MitThakkar24/Machine_Learning
Machine Learning Basic to Advanced Concepts