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1. Supervised-Learning-Models Supervised-Learning-Models Public

   Supervised learning is a machine learning technique where the algorithm is trained on a dataset with both input features (independent variables) and corresponding output labels (dependent variables…

   Python

2. Unsupervised-Learning-Models Unsupervised-Learning-Models Public

   Unsupervised learning is a machine learning technique where the algorithm learns from unlabeled data.

   Python

3. Time-Series-Forcasting Time-Series-Forcasting Public

   Time series forecasting involves predicting future values of a variable based on its historical data. It's commonly used in various fields, including finance, economics, weather forecasting, and su…

   Jupyter Notebook 1

4. Pattern-Recognition Pattern-Recognition Public

   Pattern Recognition for Stock Market Analysis using the AGIO dataset. This code employs various algorithmic pattern recognition techniques to identify specific configurations in stock price and vol…

   Jupyter Notebook

5. nekaburu nekaburu Public

   A modern iOS and Android-compatible e-commerce app, for ordering bread and pastries. With live order tracking.

   TypeScript 1

6. Graph-Traversal-Algorithms Graph-Traversal-Algorithms Public

   Depth-First Search (DFS: Useful for cycle detection, topological sort, and maze-solving) and Breadth-First Search (BFS: Good for shortest path in unweighted graphs) implementation with python.

   Python 1