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1. Neural-Network-for-Fashion-MNIST Neural-Network-for-Fashion-MNIST Public

   Neural Network for Fashion MNIST is a from-scratch deep learning classifier built entirely in NumPy (no PyTorch training loop) that recognizes 10 categories of clothing from 28×28 grayscale images.

   Python 1

2. Unsupervised-Feature-Extraction-for-Systematic-Trading-in-S-P-500 Unsupervised-Feature-Extraction-for-Systematic-Trading-in-S-P-500 Public

   Developed a systematic trading strategy on S&P 500 equities using unsupervised learning to extract latent market patterns and generate signals.

   Jupyter Notebook 1

3. Gemma-2B-Fine-Tuned-on-25K-Python-Codes Gemma-2B-Fine-Tuned-on-25K-Python-Codes Public

   This project fine-tunes Google's Gemma 2B model for Python code generation using LoRA and 4-bit quantization, implemented in a Google Colab notebook for efficient training.

   Jupyter Notebook 2

4. Real-Time-object-detection-and-presentation-using-point-clouds Real-Time-object-detection-and-presentation-using-point-clouds Public

   This project focuses on real-time 3D object detection using YOLOv3 in Google Colab. It captures a live video feed, detects objects, and visualizes them in 3D space using libraries like Open3D. The …

   Python 6

5. Estimation-of-Yearly-Internet-Usage-via-Stochastic-Gradient-Descent Estimation-of-Yearly-Internet-Usage-via-Stochastic-Gradient-Descent Public

   A Linear Regression Model using Stochastic Gradient Descent

   Jupyter Notebook 3

6. breast-cancer-classifier-using-MLE-and-Batch-Gradient-Ascent breast-cancer-classifier-using-MLE-and-Batch-Gradient-Ascent Public

   Using Logistc Regression with the help of Maximum Likelihood Estimation and Batch Gradient Ascent.

   Jupyter Notebook 3