machinelearning-python
There are 1076 repositories under machinelearning-python topic.
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
AgnostiqHQ/covalent
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
hrnbot/Basic-Mathematics-for-Machine-Learning
The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI
mikeroyal/Machine-Learning-Guide
Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.
shsarv/Machine-Learning-Projects
This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to practical scenarios, demonstrating proficiency in machine learning techniques and tools.
aporia-ai/mlnotify
🔔 No need to keep checking your training - just one import line and you'll know the second it's done.
imskr/Plant_Disease_Detection
Plant Disease Detector Web Application
onlyphantom/cvessentials
Tutorial Series (60 hour course): Essentials of computer vision
free-to-learn/Machine-Learning-Concepts
Machine Learning Concepts with Concepts
fsiddh/Machine-Learning-Masters
This repository consists content, assignments, assignments solution and study material provided by ineoron ML masters course
azminewasi/online-ml-university
A curated list of FREE courses available online from top universities of the world on CS-DS-ML!
xbeat/Machine-Learning
Cross Beat (xbe.at) - Your hub for python, machine learning and AI tutorials. Explore Python tutorials, AI insights, and more.
PacktPublishing/Hands-On-Machine-Learning-with-scikit-learn-and-Scientific-Python-Toolkits
The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to implementing supervised and unsupervised machine learning algorithms in Python by Tarek Amr
avrabyt/YouTube-Tutorials
📹 Collection of my Youtube Tutorials over the years! Read, write, and share what you create ✨🎈
Karan-Malik/Chatbot
A Deep-Learning multi-purpose chatbot made using Python3
dataprofessor/python
Python codes from tutorials on the Data Professor YouTube channel
awslabs/amazon-denseclus
Clustering for mixed-type data
TirendazAcademy/Awesome-Data-Science-Resources
Resources about data science, machine learning, deep learning, data engineering, and SQL.
vishnukanduri/Credit-Risk-Modeling-in-Python
Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discrete variables using various techniques depending on the feature. Checked for missing values and cleaned the data. Built the probability of default model using Logistic Regression. Visualized all the results. Computed Weight of Evidence and price elasticities.
EdemGold/Nutshell-Machine-Learning
This is a repository built by the community for the community.
bvobart/mllint
`mllint` is a command-line utility to evaluate the technical quality of Python Machine Learning (ML) projects by means of static analysis of the project's repository.
PJalgotrader/ML-USU-SP21
ECN 5090- Machine Learning in Economics and Finance (Python)
Patotricks15/Ciencia-de-dados-projetos
Repository for my data science projects (Web scraping and automation + exploratory data analysis + machine learning + recommendation system)
SarthakV7/AI-based-indian-license-plate-detection
Indian license plate detection and character extraction using deep learning and raspberry pi.
vvssttkk/dst
yet another custom data science template via cookiecutter
ashishpatel26/ML-Notes-in-Markdown
Machine learning notes that make your reading easy
bytehub-ai/bytehub
ByteHub: making feature stores simple
nursnaaz/25DaysInMachineLearning
I will update this repository to learn Machine learning with python with statistics content and materials
thomas-young-2013/mindware
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
FahimFBA/CUDA-WSL2-Ubuntu
Install CUDA on Windows11 using WSL2
chriotte/wearable_stress_classification
Stress classifier with AutoML
noahgift/edge-computer-vision
Edge Computer Vision Course
ketanchoyal/InstaKnow
Flutter App Build for the machine Learning model which shows sentiments of instagram user by analysing their captions
aydinnyunus/Machine-Learning
Machine Learning (Easy to Hard step by step)
roshancyriacmathew/Twitter-sentiment-analysis-using-Python-Machine-Learning-Project-8
This project walks you on how to create a twitter sentiment analysis model using python. Twitter sentiment analysis is performed to identify the sentiments of the people towards various topics. For this project, we will be analysing the sentiment of people towards Pfizer vaccines. We will be using the data available on Kaggle to create this machine learning model. The collected tweets from Twitter will be analysed using machine learning to identify the different sentiments present in the tweets. The different sentiments identified in this project include positive sentiment, negative sentiment and neutral sentiment. We will also be using different classifiers to see which classifier gives the best model accuracy.
songxxiao/m5_compete
Sliver Solution (Top 2%) for Kaggle M5 Forecasting competition