Waghraj Patil's Projects
30 days of coding challenge by Nxt Wave
Implementation of ML algorithm to predict the car price
Crop Disease detection app,it predicts wheather the given image of crop has disease or not.
Implementing customer segmentation using ML, covering exploring advantages, preprocessing, K-means clustering, and visualization.
Task 1 of the CodeClause Internship
Implementation of CNN, Classify wheather the image belong to cat class or dag.
for learning purpose
A fraud detection system with machine learning will be able to detect risk based on your historical data
Developed a Convolutional Neural Network (CNN) model using the Tensorflow framework to Recognition of Handwritten Digit.
for learning streamlit
Web app to predict live probability of win percentage of match
Web app to analyze your resume and compare with the job description and gives suggestions and what can you improve in your resume.
This repository consists of the code files of th ML algorithms which I have implemented during the machine learning course.
The face mask recognition system uses AI technology to detect the person with or without a mask.
Web app to give movie recommendations based on your choice.
Predict which type of pokemon it is using CNN
100 basic to intermediate level python codes.
A web app to check wheather the messages are spam or not.