MLgenerator is a web app which help you to generate machine learning starter code with ease.

Building a Logistic regression model for the prediction of Sales and implementing it in a web app based on Python 🐍

In this assignment, we will tackle a regression problem. We will be working on a dataset consolidated from census data in the USA. The goal is to accurately predict cancer mortality based on information related to US counties.The dataset contains 33 different features (demography, medical information).

Running Data Analysis

MoodBoost is an application that helps users navigate through their lows and celebrate through their highs...

Online Transaction Fraud Detection using Machine Learning along with Web app creation using Streamlit and deployed on Heroku

💬🤖 Build a better chatbot 🤖💬

Demonstration of an app for better learning and grasping of the information

Netflix Clone Part-1

Tesla's stock prediction ML model deployed on Streamlit Cloud.

The web app uses logistic regression on a dataset of 20,000 news articles, achieving 96% accuracy. It employs NLTK for text preprocessing and TF-IDF for feature extraction.

An app built with Streamlit. It reveals the whole picture of government grant funding in a specific state.

This project is a result of the requirements by Allwyn Corporation. It is an image processing and deep-learning based project focused on healthcare data . The project aims to perform image processing on CT Scans images of L3 slice and extract the various fats areas using Deep Learning to calculate the Visceral Fat Index.

A Machine Learning Project implemented from scratch which involves web scraping, data engineering, exploratory data analysis, NLP processing and ML, achieving the functionality of a Content based movie recommender system

Internship Recommendation System Based On The Upload of User Resume

A simple web app built on streamlit to fetch data for NISER mess menu. deployed at https://niser-mess-menu.herokuapp.com/ and https://share.streamlit.io/iamashwin99/niser-mess-menu/main/main.py

The app takes image input from the user and accurately classifies the landmark in the image. It gives the top 5 possible landmark names with the probability.

A Python tool that summarizes and categorizes Launch School Capstone YouTube presentations using the YouTube Data API, OpenAI API, NLTK, PyLDAvis, and Streamlit