jigyasaG18/Multiple-Disease-Detection-App

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.

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Dinesh-2311/predict_flight_delay_datasets

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

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jigyasaG18/Gold-Price-Prediction-Project-using-Machine-Learning

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

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Singhananddev/Health-insurance-cross-sell-prediction

Health-insurance-cross-sell-prediction

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jigyasaG18/SONAR-Rock-vs-Mine-Prediction-ML-Project

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.

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Nel-zi/Data_Engineering_Pretest

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.

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Ansuman21/Analyzing-and-Forecasting-Restaurant-Inspection-Grades-in-NYC

Data Science Project (Final)

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Lynk4/your-first-machine-learning-model-in-Python

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

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AhmedShafique313/AIMate

AIMate 👩‍💻 is an advanced AI-powered personal assistant app designed to enhance productivity and improve daily life. It leverages state-of-the-art technologies such as Natural Language Processing (NLP) for voice commands, machine learning for predictive analytics and personalized recommendations, and computer vision for image and face recognition

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AashutoshSINHA/Predictive-Analysis-Using-Social-Profile-in-Online-P2P-Lending

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 would be timely paid

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Herqules/Machine-Learning-Models

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

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Ayoub-etoullali/Spark-MLlib-NTT-DATA

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.

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Kekyei/airline-booking-prediction

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

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Pomlington21/SMS_Spam_Detection_Machine_Learning_Model

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

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Dr-Groot/CreateML_CoreML-Swift

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

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alairdata/Prediction-of-Cancer-Types-using-Gene-Expession

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.

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Brotherscodes/Cyber_Security_Intrusion_Prevention

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

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enesbol/House-Price-Prediction

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

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AnuragSChatterjee/Introduction-To-Machine-Learning-In-Python-On-Kaggle

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.

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rhutuja-desai/classification-of-fruits-by-colour

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