AI & Machine Learning: Detection and Classification of Network Traffic Anomalies based on IoT23 Dataset

First Assignment in 'NLP - Natural Languages Processing' course by Prof. Yoav Goldberg, Prof. Ido Dagan and Prof. Reut Tsarfaty at Bar-Ilan University

From scratch implementations of some algorithms in Machine Learning SkLearn style in Python

Multiclass logistic regression implementation from scratch

a vectorized binary logistic regression implementation in python.

Personal Project 2: using machine learning algorithms to predict the existence of heart disease based on a numerical and categorical dataset.

Implementation of Logistic Regression and MLP binary classifiers from scratch.

Logistic Regression Classifier; MVC Classifier; Logistic regression Classifier with Squared x parameters

🧪 Classifies toxic comments (EN + RU) using TF-IDF and logistic regression.

Basic code for training the Classification model like Logistics Regression using some data encoding or exploration techniques.

Sentiment Analyzer built with Python. Pre-processed data and built a basic Bag-of-words model. Implemented the Naive Bayes, Decision Tree, and Logistic Regression classifiers. Also ran classifiers on a dataset of Yelp reviews for extra credit. Completed for school.

Music classifier for first mandatory assignment in FYS-2021

GLOBAL_HEALTH_ANALYSIS is a comprehensive tool designed to evaluate health trends across different regions. It uses data visualization to highlight key health indicators, enabling users to identify areas needing attention.