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 🐍

A knowledge graph of the wastewater treatment microbiome and its biological context

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).

Streamlit App for Node and Graph Classification and Explainability

Running Data Analysis

Sleep Disorder Detection App! This app uses a machine learning model to detect potential sleep disorders based on user input features such as age, gender, occupation, sleep duration, and more. It also provides helpful tips and insights based on the predictions.

This repository contains my internship project work at Flexbox Technologies. I have developed a system that fills the patient details form automatically with the patient data extracted from pdf file.

Detect and classify plant diseases from images using TensorFlow. Upload an image to the Streamlit app to determine if the plant is healthy or diseased, and identify the specific disease. Ideal for aiding early disease detection and management in agriculture.

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

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

Netflix Clone Part-1

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

💬🤖 Build a better chatbot 🤖💬

Agri-Predict aims to modernize farming methods and improve agricultural productivity in Africa by leveraging technology and data-driven insights. Our mission is to empower farmers with accessible and self-sufficient tools for sustainable crop cultivation.

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.

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.