Brief introduction to CreateML and Model creation with small example of CatDog model + Detection Project in Swift.

The house price was estimated based on the user's choices. Xgboost was used for training the model and Streamlit was used for deployment.

Online peer-to-peer (P2P) lending markets enable individual consumers to borrow from, and lend money to, one another directly. We study the borrower-, loan- and group- related determinants of performance predictability in an online P2P lending market by conceptualizing financial and social strength to predict borrower rate and whether the loan w…

This has been a machine learning quest to classify cancer types using gene expression data, utilizing powerful tools and techniques to preprocess, train and evaluate models. The ultimate goal, to save lives through early diagnosis with high accuracy and precision.

Machine Learning internship tasks from Bharat Intern.

This repository contains a machine learning project focused on predicting gold prices (GLD) using historical stock market data, including indicators such as SPX, USO, SLV, and EUR/USD. The project implements a Random Forest Regressor for accurate price forecasting, complete with data visualization, correlation analysis, and model evaluation metrics

This GitHub repository contains code for predicting the country destination of new Airbnb users using machine learning techniques on the "Airbnb New User Bookings" dataset from a Kaggle competition.

Creating a machine learning model to detect factors that contribute to cyber attacks in an effort to limit the vulnerability of the average consumer.

Data Science Project (Final)

Create your first machine learning model in python...........

This project explores weather prediction of flight delay data sets building data analysis process using machine learning models and various data analysis & manuplation libraries

This repository contains a machine learning project that classifies SONAR reading data to distinguish between rocks and mines. It implements various classification models,evaluates their performance,and features a user-friendly web application deployed with Streamlit for real-time predictions. The project is aimed to help in safe marine operations.

Pursued an Introductory Machine Learning course in Python on Kaggle in my free time, where I practiced on a dataset and built a small model on Kaggle.

A comprehensive suite of Python-based machine learning models for predictive analytics, employing different evolutionary algorithms for data analysis across various topics.

This repository contains the code and resources for a flight booking predictive model. The model is trained on customer booking data and is designed to predict the likelihood of a customer making a booking. The model is evaluated on its accuracy and f1 score. The findings are summarized in a presentation slide for management

Machine Learning algorithm used to distinguish between spam and ham texts.

Health-insurance-cross-sell-prediction

This repository contains the implementation of a Multiple Disease Detection System, which employs advanced machine learning techniques for early detection and prediction of prevalent diseases, including diabetes, heart disease, and Parkinson's disease. The system utilizes a variety of patient health metrics such as demographics and medical history.

In this project, I analyzed supermarket datasets to uncover branch-level sales patterns, regional trends, and promotion effectiveness. This analysis provided valuable insights that helped drive data-driven strategic decisions.