📔 DHBW Lecture Notes "Artificial Intelligence and Machine Learning" 🤖
-
Updated
Mar 11, 2026
#
machine-learning-basics
Here are 25 public repositories matching this topic...
Using models to understand relationships and make predictions.
visualization r workshop models model-checking linear-models loss-functions generalized-linear-models model-comparison machine-learning-basics
-
Updated
Feb 29, 2020
This project focuses on analyzing the relationship between students’ study hours and their academic performance using basic data analysis techniques in Python. The goal is to understand how the number of hours studied affects the marks obtained by students and to visualize this relationship using graphs.
python beginner-project pandas data-visualization data-analysis matplotlib machine-learning-basics student-performance
-
Updated
Mar 20, 2026 - Jupyter Notebook
A simple rule-based chatbot built using Python and NLTK that demonstrates fundamental NLP techniques such as tokenization, lemmatization, cosine similarity, and response generation.
python nlp natural-language-processing chatbot nltk text-processing machine-learning-basics ai-project rule-based-chatbot
-
Updated
Jan 19, 2026 - Jupyter Notebook
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.
python natural-language-processing markov-chain graph-theory text-generator probabilistic-models word-prediction machine-learning-basics
-
Updated
Jan 11, 2025 - Python
My blogs and code for machine learning. http://cnblogs.com/pinard
-
Updated
Jul 12, 2019 - Jupyter Notebook
Daily Machine Learning & Deep Learning practice using Python
python machine-learning deep-learning machine-learning-algorithms jupyter-notebook artificial-intelligence deep-learning-tutorial machine-learning-basics numpy-library ml-beginners
-
Updated
Jan 20, 2026 - Jupyter Notebook
Data Cleaning Project using Python and Pandas | Employee Dataset | Removing Duplicates, Missing Values, and Data Formatting
python excel pandas data-analysis data-preprocessing data-cleaning machine-learning-basics employee-dataset
-
Updated
Aug 23, 2025 - Jupyter Notebook
Data-driven analysis of IPL 2016 player and team performances using R.
ggplot2 r statistics exploratory-data-analysis tidyverse data-visualization kaggle cricket data-analysis ipl machine-learning-basics sports-analytics t20-cricket
-
Updated
Nov 4, 2025 - R
running knn on mnist dataset for numeric digit detection
python machine-learning-algorithms jupyter-notebook mnist-dataset machine-learning-basics knn-model mnist-handwriting-recognition knn-algorithm machine-learning-beginners
-
Updated
Jun 27, 2019 - Jupyter Notebook
Machine learning implementations from scratch.
python machine-learning reinforcement-learning numpy genetic-algorithm machine-learning-algorithms educational perceptron kohonen-map hopfield-network decision-tree backpropagation from-scratch machine-learning-basics
-
Updated
Dec 27, 2024 - Python
-
Updated
Dec 12, 2020 - Jupyter Notebook
machine-learning sklearn data-preprocessing machine-learning-basics machinelearning-python data-pre-processing
-
Updated
Nov 15, 2019 - Python
Machine Learning A-Z Course in Python Language
-
Updated
Jul 19, 2020 - Jupyter Notebook
-
Updated
Nov 9, 2019 - Jupyter Notebook
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.
deep-learning tensorflow numpy scikit-learn keras pandas seaborn matplotlib convolutional-neural-networks support-vector-machine machine-learning-basics torchvision decision-tree-implementation data-preprocessing-techniques linear-regression-projects apriori-algorithm-evaluation logistic-regression-projects naive-bayes-knn-projects neural-networks-implementation overfitting-underfitting-clustering
-
Updated
Feb 11, 2026 - Jupyter Notebook
Python code for Makoto Ito's "Textbooks of Machine Learning Learning with Python (Korean Edition)". '파이썬으로 배우는 머신러닝의 교과서' 책에 실린 파이썬 코드입니다.
-
Updated
Feb 7, 2023 - Jupyter Notebook
Machine Learning Basic to Advanced Concepts
machine-learning linear-regression machine-learning-algorithms polynomial-regression machine-learning-models machine-learning-basics multiple-linear-regression
-
Updated
Feb 9, 2024 - Jupyter Notebook
In this repository, you'll find a set of Python exercises focused on fundamental machine learning concepts using scikit-learn library.
-
Updated
Jul 17, 2025 - Jupyter Notebook
A Python implementation of Gradient Descent for solving Multiple Linear Regression. This project demonstrates how the algorithm is used to minimize the Mean Squared Error (MSE) cost function and optimize the regression coefficients.
python optimization numpy linear-regression pandas matplotlib gradient-descent learning-rate machine-learning-basics regression-analysis cost-function multiple-linear-regression mean-squared-error
-
Updated
Dec 9, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to the machine-learning-basics topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the machine-learning-basics topic, visit your repo's landing page and select "manage topics."