12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

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.

Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.

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

Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.

Cross Beat (xbe.at) - Your hub for python, machine learning and AI tutorials. Explore Python tutorials, AI insights, and more.

Plant Disease Detector Web Application

🔔 No need to keep checking your training - just one import line and you'll know the second it's done.

This repository consists content, assignments, assignments solution and study material provided by ineoron ML masters course

A curated list of FREE courses available online from top universities of the world on CS-DS-ML!

Tutorial Series (60 hour course): Essentials of computer vision

Machine Learning Concepts with Concepts

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

A Deep-Learning multi-purpose chatbot made using Python3

📹 Collection of my Youtube Tutorials over the years! Read, write, and share what you create ✨🎈

Resources about data science, machine learning, deep learning, data engineering, and SQL.

Python codes from tutorials on the Data Professor YouTube channel

Clustering for mixed-type data

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.

ECN 5090- Machine Learning in Economics and Finance (Python)

This is a repository built by the community for the community.

`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.

Repository for my data science projects (Web scraping and automation + exploratory data analysis + machine learning + recommendation system)

Indian license plate detection and character extraction using deep learning and raspberry pi.

Machine learning notes that make your reading easy

yet another custom data science template via cookiecutter

Install CUDA on Windows11 using WSL2

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

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.

ByteHub: making feature stores simple