Breast Cancer Classifier using Logistic Regression

Breast Cancer Diagnosis using machine learning algorithms | Deep Learning | Logistic Regression | API | Frontend | Backend |

This Project will help us to make better choices the appropriate crop for the soil based on several factors.

An educational sandbox to help understand Logistic Regression from a more intuitive perspective.

Twitter Sentiment Analysis is a mini project that utilizes Logistic Regression to classify tweets as either positive or negative. The project includes an API endpoint built with FastAPI, allowing users to submit a tweet's URL and receive a sentiment analysis response.

Project FITA: Fires in the Amazon. WebApp para análise e classificação de imagens de satélite da Amazônia.

Attended the LanHack conducted by Lancaster University - Lancaster, UK and developed a ML-based model to classify Malicious and Non-Malicious URLs.

This is an Web Application to predict the IPL Match winner.

In statistics, the logistic model (or logit model) is used to model the probability of a certain class or event existing such as pass/fail, win/lose, alive/dead or healthy/sick. This can be extended to model several classes of events such as determining whether an image contains a cat, dog, lion, etc. Each object being detected in the image woul…

Logistic Regression model trained to determine if someone will survive the Titanic disaster, dressed in a Flask API and deployed on Heroku.

This project objective is to predict the type 2 diabetes, based on the dataset.

IoT based Novel Approach for Remote Patient Pulse Rate Monitoring System with Stroke Prediction using Logistic Regression

Portfolio projects

This project is a development of Flask Application called 'Know It' which consists of three different prediction codes which are Pizza Liking Prediction, Fuel Price Prediction and Diabetes Prediction.

This is a Django application for predicting whether the sentiment of a financial news headline is positive, negative or neutral (from an investor point of view)

Sentiment Analysis of Tweets During Covid Period https://infysoars-project-covid.infysoars.repl.co/dashboard

This project aims to predict the type 2 diabetes, based on the dataset. It uses machine learning model,which is trained to predict the diabetes mellitus before it hits.

Interactive Visual Machine Learning Demos.