🤖 Machine Learning (ML) is a subdiscipline of artificial intelligence that focuses on developing algorithms and models that enable computers to learn and make predictions or decisions based on data. 📊 Instead of being explicitly programmed to perform tasks, machines in ML learn patterns and relationships from large datasets, improving their performance over time as more data is provided. Machine Learning is used in a variety of applications, including speech recognition, computer vision, predictive analytics, and recommendation systems.
- Description 📝
- Included Examples 📦
- Installation 🛠️
- Usage 📘
- Technologies 🧪
- License 📜
Machine Learning is an essential field in modern technology because it enables systems to automatically improve through experience without being explicitly programmed for every scenario.
This repository contains practical Python examples demonstrating various machine learning algorithms and techniques, including supervised learning (classification and regression), unsupervised learning (clustering), model evaluation, hyperparameter tuning, and data preprocessing.
The goal of this project is to help learners understand how to implement ML workflows from data preparation to model deployment, applying these skills to real-world datasets.
✔️ Linear and Multiple Linear Regression
✔️ Logistic Regression for classification
✔️ Decision Trees and K-Nearest Neighbors (KNN)
✔️ Support Vector Machines (SVM)
✔️ Neural Networks with MLP
✔️ Ridge, Lasso, and Elastic Net regularization
✔️ GridSearchCV and RandomizedSearchCV for hyperparameter tuning
✔️ Data preprocessing and feature scaling
✔️ Model evaluation metrics and visualization
✔️ Practical beginner-friendly examples
- Clone the repository:
git clone https://github.com/Bredalis/ML.git- Navigate into the project directory:
cd MLTo run a program from the terminal:
1️⃣ Go to the file location:
cd path_to_program2️⃣ Run the Python file:
python program_name.py- Python 🐍
- Scikit-Learn 🤖
- Pandas 🐼
- NumPy 🔢
- Matplotlib 📊
- Seaborn 🎨
- Keras/TensorFlow (for neural networks) 🧠
- Machine Learning Algorithms
This project is licensed under the 📜 GPLv3 (GNU General Public License V3.0)
😊 I am a programmer passionate about technology, artificial intelligence, and continuous learning. I love creating projects that help others understand complex concepts in a simple way. #python #ai #machinelearning #deeplearning 🚀
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