📔 DHBW Lecture Notes "Artificial Intelligence and Machine Learning" 🤖

Using models to understand relationships and make predictions.

A from-scratch Python perceptron project that trains and tests simple neural networks for logic gates such as AND, OR, and NOR. Includes separate training and testing scripts, along with saved trained models using pickle

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.

A highly efficient data preprocessing pipeline using Python and Pandas to clean, filter (via boolean indexing), and format raw sensor data for ML models.

A foundational AI/ML data preprocessing pipeline in Python to simulate, filter, and log sensor data.

Daily Machine Learning & Deep Learning practice using Python

Exploratory Data Analysis (EDA) on the Iris dataset using Python, focusing on data visualization and statistical insights.

Data Cleaning Project using Python and Pandas | Employee Dataset | Removing Duplicates, Missing Values, and Data Formatting

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.

Data-driven analysis of IPL 2016 player and team performances using R.

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.

A simple rule-based chatbot built using Python and NLTK that demonstrates fundamental NLP techniques such as tokenization, lemmatization, cosine similarity, and response generation.

My blogs and code for machine learning. http://cnblogs.com/pinard

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.

Hands-on NumPy fundamentals for Data Analyst & Machine Learning roles

Learning machine learning from scratch with Python — concepts, algorithms, and practice.

This repository contains all the basics library for machine learning.