📔 DHBW Lecture Notes "Artificial Intelligence and Machine Learning" 🤖
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Apr 27, 2026
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machine-learning-basics
Here are 33 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
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Feb 29, 2020
Foundational Perceptron from scratch. Currently using these concepts to build an advanced, pure-Python Transformer network here: Hrishvi/ai8-transformer-from-scratch-python
python machine-learning neural-network artificial-intelligence perceptron machine-learning-basics python-ai perceptron-from-scratch
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Apr 11, 2026 - Python
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
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May 29, 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
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Jan 19, 2026 - Jupyter Notebook
A foundational AI/ML data preprocessing pipeline in Python to simulate, filter, and log sensor data.
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May 14, 2026 - Python
A highly efficient data preprocessing pipeline using Python and Pandas to clean, filter (via boolean indexing), and format raw sensor data for ML models.
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May 18, 2026 - Python
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
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Jan 20, 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
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Jan 11, 2025 - Python
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
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Feb 11, 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
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Aug 23, 2025 - Jupyter Notebook
🚀 30 Days. Zero to FAANG. Master Python with baby-level analogies, visual memory tricks, and real FAANG interview questions. No boring tutorials—only pure, addictive learning. 🔥🐍
python data-structures interview-prep alogrithms learn-python machine-learning-basics faang-interview python-masterclass zero-to-hero
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Jun 25, 2026 - Python
Exploratory Data Analysis (EDA) on the Iris dataset using Python, focusing on data visualization and statistical insights.
python statistics numpy exploratory-data-analysis jupyter-notebook pandas data-visualization seaborn data-analysis matplotlib iris-dataset machine-learning-basics
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Feb 25, 2026 - Jupyter Notebook
My blogs and code for machine learning. http://cnblogs.com/pinard
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Jul 12, 2019 - 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
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Nov 4, 2025 - R
Learning machine learning from scratch with Python — concepts, algorithms, and practice.
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Mar 29, 2026 - Jupyter Notebook
Hands-on NumPy fundamentals for Data Analyst & Machine Learning roles
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Jan 4, 2026 - Jupyter Notebook
In this repository, you'll find a set of Python exercises focused on fundamental machine learning concepts using scikit-learn library.
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Jul 17, 2025 - 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
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Feb 9, 2024 - 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
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Dec 9, 2024 - Jupyter Notebook
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