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.
The Machine Learning Module
cuML - RAPIDS Machine Learning Library
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Bringing hardware acceleration to Java machine learning
5 different kinds of machine learning alorithms has been used for the classfication of the animals and have been compared with each other
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
house price prediction for Turkey (Test Phase)
Data Science projects, interaction focused on Machine Learning algorithms, projects made with a purpose (or just for fun)...
Repository related to machine learning projects and related modules
Practices and Lecture Notes (in Spanish) analysed through the Multivariate Analysis Course, using Python and R simulations under the professorship of Dr. Julio César Galindo López during semester 2024-I of the Undergraduate Actuarial Science Program.
EasyTPP: Towards Open Benchmarking Temporal Point Processes
The Laptop Price Predictor is a Streamlit web application designed to predict the prices of laptops based on various features. It leverages machine learning models trained on laptop data to provide accurate price estimations for different laptop configurations.
📚「@MaiweiAI」Studying papers in the fields of computer vision, NLP, and machine learning algorithms every week.
Focusing on Sentiment Analysis .
This repository contains Machine Learning Lab cycle programs.
Data Science do Zero
A simple AI in pure c++ to play the snake game
This Repo contains tools that allow us to import, clean, manipulate, and visualize data —Includes Python libraries, like pandas, NumPy, Matplotlib, and many more to work with real-world datasets to learn the statistical and machine learning techniques.
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application