📔 DHBW Lecture Notes "Artificial Intelligence and Machine Learning" 🤖
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Updated
Sep 1, 2025
📔 DHBW Lecture Notes "Artificial Intelligence and Machine Learning" 🤖
Using models to understand relationships and make predictions.
Machine learning implementations from scratch.
A simple rule-based chatbot built using Python and NLTK that demonstrates fundamental NLP techniques such as tokenization, lemmatization, cosine similarity, and response generation.
Data Cleaning Project using Python and Pandas | Employee Dataset | Removing Duplicates, Missing Values, and Data Formatting
running knn on mnist dataset for numeric digit detection
My blogs and code for machine learning. http://cnblogs.com/pinard
Data-driven analysis of IPL 2016 player and team performances using R.
This project is a Markov Chain-based text generator implemented in Python. It processes a given text file to build a probabilistic model of word sequences, allowing it to generate new, coherent text that mimics the style and structure of the input.
Daily Machine Learning & Deep Learning practice using Python
Python code for Makoto Ito's "Textbooks of Machine Learning Learning with Python (Korean Edition)". '파이썬으로 배우는 머신러닝의 교과서' 책에 실린 파이썬 코드입니다.
This repository contains all the basics library for machine learning.
Welcome to my Machine Learning repository! This collection is a comprehensive guide to key Machine Learning concepts, techniques, and practical implementations. I've organized the content into modules, each focusing on different aspects of Machine Learning, from foundational principles to advanced algorithms and projects.
Machine Learning Basic to Advanced Concepts
In this repository, you'll find a set of Python exercises focused on fundamental machine learning concepts using scikit-learn library.
Machine Learning A-Z Course in Python Language
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