Final Year Project on Road Accident Prediction using user's Location,weather conditions by applying machine Learning concepts.

Flask API for teacher promotion system

Collection of all my Machine Learning Projects during and after graduating from Udacity's Machine Learning Nanodegree Program.

This repository contains project materials for the Spring 2024 STAT 208 class, specifically for Team 8. All materials are the property of Team 8, University of California, Riverside, A. Gary Anderson School of Management. Thank you for viewing our repository.

Driver Risk Classification using Machine Learning and Driver Monitoring Service using Virtual Sensors

2nd runnerup in UPES student chapter hackathon 2.0 solving the problem statement Optical Character Reading, Tumor Segmentation, Cancer Detection, and Classification

Works done at International School of Engineering

Meus ipynb e projetos relacionados

The Software will enable the user to detect the programming language without the help of file extension.

🍷 Wine Glass is a web application made with the help of Flask, a microframework for Python based on Werkzeug, Jinja 2, and good intentions. On the backend, a machine learning model is classifying the wine sample entered as good or bad. The machine learning model was trained on the Wine Quality Dataset from the UCI Machine Learning Repository.

Documentation of Packages in AI & ML

This is a small initiative by me to control over COVID-19 pandemic and to predict the probability of occurrence of Corona Virus to a user. The basic motto of this to priortize the patients due to the incapability of the goverment to handle the situation.

Life Expectancy Prediction

Advance Movie Recommender, with Flask as the framework used for User Interface, deployed on Heroku.

data analysis project

Worked on 2 different fake news related data set using machine learning algorithms and classified fake or real news based on the training figures. Dataset sizes were 500 and 15000 news. By keeping in mind certain factors, detected the accuracies of algorithms to differentiate which dataset is more useful. The scope of this project could be helpf…

Application of unsupervised learning techniques on product spending data collected for customers of a wholesale distributor in Lisbon, Portugal to identify customer segments hidden in the data.

Exploratory Analysis and Machine Learning with Airbnb data.

Take a rain check before Going out