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Python

Learning Python programming language This repository contains coding challenges and projects completed by the me, organized into subfolders.

Subfolders

Coding_Challenge

Contains a solution to a binary search task from leetcode

Machine_Learning

Contains code from a Python book that the author is currently reading, including an implementation of the state pattern in machine learning. The "Machine Learning" folder contains a variety of materials related to the field of machine learning, including Python code, Jupyter notebooks, and lecture notes from the TU Berlin, FU Berlin and self-learning path. The materials cover topics such as modern latest deep learning algorithms inlöluding RNNs, GANs and classic machine learning as decision trees, clustering, neural networks, and more, with a particular focus on implementation and visualization of these algorithms. Additionally, the folder contains specific implementations of algorithms such as Naive Bayes and k-NN classifiers, as well as examples of their use on real-world datasets like the yacht dataset. Overall, this collection provides a valuable resource for anyone interested in the practical application of machine learning algorithms using Python.

Data_Structures_and_Algorithms_in_Python_ud513

Contains recursion exercises completed as part of the Udacity course "Data Structures and Algorithms in Python (ud513)".

Design_Computer_Programs_cs212

Contains coursework completed as part of the Udacity course "Design of Computer Programs (cs212)", with a Udacity course identifier added to the folder's name.

HTTP_Webserver_with_Python_ud303

Contains coursework completed as part of the Udacity course "HTTP & Web Servers (ud303)", with a Udacity course identifier added to the folder's name.

IT_Security_Beuth_MasterMediaInformatik

Contains coursework completed as part of the "IT Security" program at Beuth University of Applied Sciences, including steganography exercises using steganohide.

Programming_Foundations_with_Python_ud036

Contains coursework completed as part of the Udacity course "Programming Foundations with Python (ud036)", with a Udacity course identifier added to the folder's name.

Try_Django/try_django

Contains coursework completed as part of the "Try Django" tutorial series, which includes building a basic Django web application.

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Learning Python programming language

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