sckiit-learn

Developed a predictive model for heart disease using Decision Tree Algorithm to provide early diagnosis, performed Exploratory Data Analysis to find out the exact affecting symptom , visualized the data set using Matplolib, seaborn libraries For improving performance of Decision tree model, Got the accuracy of 84.6% by performing depth up to 15

This project focuses on customer churn prediction for a telecommunications company, aiming to identify at-risk customers

A machine learning-powered web application that automatically detects the language of input text, supporting English, Swahili, Sheng, and Maasai languages.

full-stack blogging platform built with Flask/Python. Includes user authentication, profile management, and AI/ML features for sentiment analysis and personalized content recommendations.

Different types of supervised to unsupervised learning models

Predicting survival on the titanic using python. This will also be a brief introduction to use python for analytics and important libraries such as pandas, matplotlib and scikit-learn.

The aim of this project is to create a machine learning model based on Active Learning to identify and filter out spam in YouTube comments.

End-to-end binary text-classification project that implements a Support Vector Machine from scratch (with Adam optimization) and compares Hinge, Squared-Hinge and Logistic losses on the IMDb dataset — trained and served as a FastAPI REST service in GitHub Codespaces.

Resume Analyzer is a prototype application that allows users to upload multiple resumes and compare them against a job description using vectorization and cosine similarity. The project is built using Python, Flask, and scikit-learn.

QUALIDADE DE VINHOS - Este projeto envolve o uso de aprendizado supervisionado e otimização de hiperparâmetros do algorítimo XGboost utilizando o Amazon SageMaker da AWS (Cloud Computing) com o objetivo de descobrir as características que podem influenciar a qualidade de um vinho.

Data Analysis of the case of customers default payments in Taiwan, using a Machine Learning algotithm Support Vector Machine (SVM).

Making a predictive model to automate the loan eligibility process based on customer details provided while filling online application form.

A machine learning model for detecting cyberbullying in Reddit comments.

A Flight price prediction application that predicts fares of flights for a particular date based on various parameters like Source, Destination, Stops & Airline. A web application is created using Flask through which users can interact and get accurate predictions of flight fares.

Using Python and unsupervised learning to predict if cryptocurrencies are affected by 24-hour or 7-day price changes

Building a machine learning model to predict house pricing based on several properties.

Diabetes Prediction Website

Loan Approval Prediction uses machine learning to analyze factors like income and credit history, automating and improving the loan approval process. The project ensures accurate, efficient, and user-friendly predictions with a Gradio interface.