Python hands on tutorial with 50+ Python Application (10 lines of code) By @xiaowuc2

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.

Repo for 42 days project to replicate/improve Airbnb's amenity (object) detection pipeline.

Machine Learning projects with source code - Machine Learning projects for beginners, ML projects for final year college students, machine learning projects - beginner to advanced

🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).

This project focuses on predicting the prices of Bitcoins, the most in-demand cryptocurrency of today's world.

This application aims to early detection of lung cancer to give patients the best chance at recovery and survival using CNN Model.

Estimated annual CO2 emissions from diesel generators at mobile or cell towers

Android Malware Detection Using Machine Learning Project with Source Code and Documents Plus Video Explanation

Credit Card Fraud Detection Project with Code and Documents

This project guides the user till they perform correct yoga pose.

📷 Generates Text Analytics using Bag of Words. Upload your data and it will suggest the relevant Newsgroups for you.

A Chronic Kidney Disease prediction machine learning model

Stock Forecasting System using AWS forecast.

Moving Object Detection with python using openCV

This project aims to predict customer conversion for an insurance company. Using historical data, we will develop a machine learning model that can identify which customers are most likely to purchase a policy. By understanding the patterns and behaviors of previous customers, the model can make predictions and provide valuable insight to company.

This project is about creating a machine learning model that can predict the house value based on the given dataset. We use different machine learning algorithms such as linear regression, decision tree and random forest to train the model, and the model that gives the best performance is used to predict the house value for new data.

We solve a regression problem in which it consists of calculating the health insurance charge in the United States Where we will break down the project into 5 phases: Exploratory Analysis. Feature Engineering. Selection of the ideal model. Development of the final model. Creation of a web application in streamlit.

Detecting COVID-19 with Chest X-Ray using PyTorch from COVID-19 Radiography Dataset on Kaggle

This repository contains my machine learning models implementation code using streamlit in the Python programming language.