This repository consist of machine learning models which can be use for predicting the future instance. More specifically this repository is a Machine Learning course for those who are interested in learning the basics of machine learning algorithms.

I tested my hypothesis on whether or not there is a correlation between anti-lgbtq hatecrimes and anti-lgbtq legislation. I used regression, support vector machines, and random forest.

This is a practice Repository consisting of all the notebooks I have practiced for Machine Learning from basics to Advance

GlycoTrack is an advanced diabetes prediction app built with Streamlit. It leverages multiple machine learning algorithms, including K-Nearest Neighbors, Random Forest, SVM, and XGBoost, to provide accurate predictions and detailed performance insights like F1-Score and AUC-ROC.

Machine learning project for heart disease prediction using Kaggle dataset. Developed and trained models for SVM, Logistic Regression, Decision Tree, K-Nearest Neighbors (KNN), and Random Forest. Achieved an 84% accuracy with the SVM model, outperforming other methods.

baby cry analysis to identify the reason behind baby's cry

Handwritten Digit Recognition using Machine Learning and Deep Learning

RAYAN AI international competition training course : Homeworks and Projects

🩺 Heart Disease Detection System 💓 This AI tool predicts heart disease risk by analyzing key health metrics like age, cholesterol, and blood pressure. 🧠🔍 It provides quick, accurate results to help prevent serious conditions and support early treatment. Perfect for both healthcare pros and patients! 🌟

I'm going to practice classification algorithms sch as Logistic Regression, KNN, DecisionTree, SVM to create a model based on training data set and evaluate testing data using evaluation metrics such as 'Acuuracy Score', 'Jaccard Index', 'F1_Score', 'LogLoss', 'Mean Absolute Error', 'Mean Squared Error' and 'R2-Score'

SPOTIFY - Big Data Analysis w/ Spark

A Browser extension which states reliability of privacy policies and terms included in the webpage that is being viewed. This provides Integration and Innovation to Execution of AI based Extensions • My role is to create a backend framework using Django to get requests and scrape the data then process to give valid Terms and conditions of the site.

Machine learning model for diabetes prediction.

This repository contains code archives for Diabetes Prediction with Machine Learning

svm from scratch

Foresight simplifies the complexities of algorithmic trading by leveraging AI to offer personalized trading strategies, explain complex algorithms in plain language, and continuously refine recommendations based on user interactions and market dynamics.

Here the several ways to perform sentiment analysis on text data, with varying degrees of complexity and accuracy