Python hands on tutorial with 50+ Python Application (10 lines of code) By @xiaowuc2
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Updated
May 21, 2024 - Python
Python hands on tutorial with 50+ Python Application (10 lines of code) By @xiaowuc2
This Contain Some Machine Learning Projects that I have done while understanding ML Concepts.
Repo for 42 days project to replicate/improve Airbnb's amenity (object) detection pipeline.
🛣 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.
Machine Learning projects with source code - Machine Learning projects for beginners, ML projects for final year college students, machine learning projects - beginner to advanced
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
Credit Card Fraud Detection Project with Code and Documents
Android Malware Detection Using Machine Learning Project with Source Code and Documents Plus Video Explanation
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.
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.
Stock Forecasting System using AWS forecast.
A Chronic Kidney Disease prediction machine learning model
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
Pneumonia detection ML model
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