The book every data scientist needs on their desk.

Landscape of ML/DL performance evaluation metrics

Regression Metrics Calculation Made easy for tensorflow2 and scikit-learn

evaluation metrics implementation in Python from scratch

Brain tumour detector built with YOLOv8 model.

Data Pre Processing tools like annotation, metadata extraction, etc. for various data, including image files, audio, and video files.

Regression is a statistical method used to analyze the relationship between one or more independent variables (often referred to as predictors, features, or input variables) and a dependent variable (often referred to as the target, response, or output variable). Scaling is the process of transforming data so that it falls within a specific range.

This repository contains an exercise on regression metrics using an income dataset to predict happiness. The exercise includes data preprocessing, model training, evaluation, and visualization.

Boston Housing Price prediction using regressions

Hyperparameter Optimization: Grid Search vs Randomized Search | Systematic tuning of Titanic survival classifier with cross-validation, comparing default, grid-optimized, and randomized-optimized model performance metrics.

Linear Regression Development & Evaluation Pipeline | Implements scikit-learn LinearRegression with comprehensive regression metrics calculation | Features predicted vs actual scatter plot with y=x reference line for visual model assessment.

Regression exercises and projects done at alx training

Your all-in-one Machine Learning resource – from scratch implementations to ensemble learning and real-world model tuning. This repository is a complete collection of 25+ essential ML algorithms written in clean, beginner-friendly Jupyter Notebooks. Each algorithm is explained with intuitive theory, visualizations, and hands-on implementation.

This repository demonstrating regression and classification model evaluation with clear examples and visualizations, making performance analysis easy to understand and apply in practice.

Rent pricing prediction on NY properties with interactive dashboards.

Supervised Learning project from TripleTen

Machine learning (ML) is a subset of artificial intelligence (AI) that enables computers to learn from data, identify patterns, and make decisions without explicit programming.