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1. Introduction-to-Python Introduction-to-Python Public

   This repository showcases lab assignments completed in an Introduction to Python course. It provides examples of working with various functionalities in Python, including data manipulation, control…

   Jupyter Notebook

2. Machine-Learning Machine-Learning Public

   This repository showcases lab assignments completed in Machine Learning course. It includes supervised learning, semi-supervised learning and un-supervised learning algorithms.

3. Deep-Learning Deep-Learning Public

   This repository showcases lab assignments completed in a Deep Learning course. It provides examples of building, training, and evaluating deep neural networks using various frameworks and libraries.

   Jupyter Notebook

4. Time-Series-and-Sequence-Learning Time-Series-and-Sequence-Learning Public

   This repository showcases time series and sequence learning with four lab assignments covering autoregressive models, Kalman filtering, nonlinear state space models, and recurrent neural networks.

   Jupyter Notebook

5. Text-Mining Text-Mining Public

   This repository contains lab assignments from the Text Mining course. The labs cover various topics including information retrieval, text classification, text clustering, topic modeling, informatio…

   Jupyter Notebook

6. Database-Technology Database-Technology Public

   This repository contains lab assignments from the Database Technology course. The labs cover fundamental concepts and practical applications of database design, SQL querying, normalization, and a h…