mangaldeep002's starred repositories
Natural-Language-Processing-Tutorial
This repo contains code files of all the important topics of NLP.
Cat-Dog-Classification-Flask-App
This is a flask web app which classify whether images contain either a dog or cat.
Face-Mask-Detection-and-Alert-System
The objective of this project is to detect the presence of a face mask on human faces on live streaming video as well as on images and alert the authority to take action on those who'r not wearing mask.
Market-Segmentation-in-SBI-life-Insurance
A machine learning clustering model for customer segmentation to define marketing strategy.
The-Battle-of-Neighborhoods-Capstone-Project
The objective of this project is to find the best place or neighbourhood in Toronto to open a restaurant or startup using Foursquare location data.
Social-Distancing-Detection-Using-YOLO
To ensure social distancing protocol in public places and workplace, i've developed a social distancing detection tool that can monitor if people are keeping a safe distance from each other or not by analyzing real time video streams from the camera.
Exploratory-Data-Analysis-Sports-IPL
This project has been done for the partial fulfillment for Data Science and Business Analyst internship offered by The Spark Foundation
Mall-Customers-Segmentation
This case requires to develop a customer segmentation to understand customer's behaviour and separate them in different groups according to their preferences, and once the division is done, this information can be given to marketing team so they can plan the strategy accordingly.
Youtube-Adview-Prediction
A Machine Learning project for Machine Learning Internship offered by InternshipStudio.
House-Prices-Advanced-Regression-Techniques
The objective of the project is to perform advance regression techniques to predict the house price in Boston.
Disaster-Response-Pipeline
The objective of the project is to create a web application which will categorize emergency messages based on the needs communicated by the disaster affected people.