AJAY WANEKAR's repositories
Wine-quality-Prediction
Machine Learning model to predict the quality of wine using linear regression
House-Price-Prediction
machine Learning model to predict house price using linear regression
Facial-Emotion-Detection
The project is to develop a model for predicting the emotions of one or multiple faces that will be visible in the images or videos
Number-Recognition-using-PyTorch
Created a CNN model to identify handwritten number using PyTorch based on MNIST Dataset
ajaywanekar
Config files for my GitHub profile.
Comments2Likes
project is to develop a predictive model that can estimate the number of likes a video will receive based on the information extracted from its comments.
Phonepe_Pulse_Data_Visualization
Project aim is to make comprehensive and user-friendly solution for extracting, transforming, and visualizing data from the Phonepe pulse Github repository.
E-Commerce_Customer_Segmentation
Unsupervised Learning - Using K Means algorithm to Cluster the customers.
BizCardX_OCR
This web application utilizes OCR technology to recognize text in uploaded images and provides spelling correction and word performance improvement. Users can easily upload images containing text and receive accurate and enhanced text results.
TwitterScraping
Twitter Scraping web app created using Streamlit, use to scrapes the twitter data for the given hashtag/ keyword for the given period.