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1. Iris-ML-Prediction Iris-ML-Prediction Public

   A complete machine learning workflow using the Iris flowers dataset 🌸. Covers data loading, exploration, visualization, model building, evaluation, and final prediction. Six ML algorithms are compa…

   Jupyter Notebook

2. Neural-Network-From-Scratch Neural-Network-From-Scratch Public

   A neural network from scratch in Python using NumPy, trained on the MNIST dataset. Includes data preprocessing, forward propagation, backpropagation, gradient descent, and evaluation with customiza…

   Jupyter Notebook

3. Titanic-ML-Binary-Classification Titanic-ML-Binary-Classification Public

   A machine learning classification project based on the Titanic Kaggle dataset. Built an end-to-end pipeline with Pandas and Scikit-Learn for data preprocessing, feature engineering, and model train…

   Jupyter Notebook

4. ML-Fake-News-Detection ML-Fake-News-Detection Public

   This project applies machine learning to detect fake news articles. Using TF-IDF vectorization and a Passive Aggressive Classifier, the model classifies news as real or fake and is evaluated with a…

   Jupyter Notebook

5. Backpropagation-In-ML Backpropagation-In-ML Public

   This project explores building simple neural networks from scratch using Python and NumPy. It demonstrates backpropagation, forward propagation, and weight updates in both a single-hidden-layer (bi…

   Jupyter Notebook

6. Finance Finance Public

   CS50 Finance (Problem Set 9) is a web app where users can register, log in, and simulate trading stocks. It uses Python, Flask, and SQLite to let users look up real stock quotes, buy and sell share…

   Python