GitHub / shreyansh-2003 / Hands-On-With-Machine-Learning-Algorithms

This repository contains a collection of labs that explore various machine learning algorithms and techniques. Each lab focuses on a specific topic and provides detailed explanations, code examples, and analysis. The labs cover clustering, classification and regression algos, hyperparameter tuning, data-preprocessing and various evaluation metrics.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shreyansh-2003%2FHands-On-With-Machine-Learning-Algorithms

Topics: classification-algorithm, clustering-algorithms, data-preparation-and-analysis, data-visualization, decision-tree-classifier, evaluation-metrics, exploratory-data-analysis, gradient-descent, hierarchical-clustering, kmeans-clustering, linear-regression, logistic-regression, machine-learning, regression-models, scipy, seaborn, sklearn-library, statsmodels, support-vector-machine

• Files
• Readme
• Dependencies