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1. MNIST-CPPMNIST-CPPPublic

   Fully connected Feed Forward Nerual Network completely in C++, MNIST dataset (0 - 9 classes) analyzed.

   C++

2. Classification-Decision-Trees-and-KNNClassification-Decision-Trees-and-KNNPublic

   Exploration of Decision Trees and KNN classifiers with focus on entropy, gini impurity, and information gain. Features custom implementations, preprocessing, and evaluation.

   Jupyter Notebook

3. EDA_Traffic_AccidentsEDA_Traffic_AccidentsPublic

   EDA project exploring patterns and insights from traffic accident data using Python.

   Jupyter Notebook

4. PortfolioPortfolioPublic

   HTML

5. Smile-Detector-using-OpenCVSmile-Detector-using-OpenCVPublic

   A lightweight project based on pre-trained models from Mediapipe which detect Smiles through Lip Movements.

   Python 1

6. Visual-Traffic-Accident-AnalysisVisual-Traffic-Accident-AnalysisPublic

   📈 Visual EDA of traffic accidents using Python libraries to uncover time, location & condition-based trends.

   Jupyter Notebook