Highlights
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MNIST-CPP
MNIST-CPP PublicFully connected Feed Forward Nerual Network completely in C++, MNIST dataset (0 - 9 classes) analyzed.
C++
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Classification-Decision-Trees-and-KNN
Classification-Decision-Trees-and-KNN PublicExploration of Decision Trees and KNN classifiers with focus on entropy, gini impurity, and information gain. Features custom implementations, preprocessing, and evaluation.
Jupyter Notebook
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EDA_Traffic_Accidents
EDA_Traffic_Accidents PublicEDA project exploring patterns and insights from traffic accident data using Python.
Jupyter Notebook
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Smile-Detector-using-OpenCV
Smile-Detector-using-OpenCV PublicA lightweight project based on pre-trained models from Mediapipe which detect Smiles through Lip Movements.
Python 1
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Visual-Traffic-Accident-Analysis
Visual-Traffic-Accident-Analysis Public📈 Visual EDA of traffic accidents using Python libraries to uncover time, location & condition-based trends.
Jupyter Notebook
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