Linear Regression Courses and Certifications

Regression and Gradient Descent

Master regression algorithms and gradient descent by building them from scratch, covering linear and logistic regression without relying on high-level libraries.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Gradient Descent: Building Optimization Algorithms from Scratch

Master optimization algorithms by implementing SGD, Mini-Batch GD, Momentum, RMSProp, and Adam from scratch in C++ without relying on high-level libraries for deep understanding.

• CodeSignal
• 4 hours
• On-Demand
• Free Certificate

Content-Based Recommendation Systems using JS

Master content-based recommendation systems using JavaScript, from basic item profiling to advanced factorization machines for personalized recommendations.

• CodeSignal
• 4 hours
• On-Demand
• Free Certificate

PredictHealth's Insurance Data & Basic Regression

Master insurance cost prediction through data exploration, visualization, correlation analysis, and simple regression modeling with real PredictHealth datasets.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Microcredential

Applied Regression Modeling for Insurance Costs

Master regression techniques to predict insurance costs through data exploration, visualization, and model building for accurate pricing decisions.

• CodeSignal
• 7 hours
• On-Demand
• Free Certificate
• 3 courses

Microcredential

Implementing AI Algorithms from Scratch in C++ (Part 1)

Master machine learning fundamentals by building regression, classification, and optimization algorithms from scratch in C++ without high-level libraries.

• CodeSignal
• 13 hours
• On-Demand
• Free Certificate
• 3 courses

Supervised Machine Learning

This practical course is designed for individuals who utilise data to make informed decisions and wish to enhance their decision-making skills.

• OpenLearning
• 20 hours
• On-Demand
• Paid Course

Python Machine Learning

Master machine learning fundamentals through hands-on Python programming, covering regression, classification, decision trees, and ensemble methods to solve real-world data problems.

• VDCI
• 30 hours
• On-Demand
• $1,895.00

Data Analyst Skillpath: Zero to Hero in Excel, SQL & Python

7752 ratings at Udemy

(with Gen AI updates) Begin data analytics by learning Excel, SQL, Python, Analytics & ML concepts from scratch.

• Udemy
• 1 day 22 minutes
• On-Demand
• Paid Course

Credit Risk Modeling in Python

7862 ratings at Udemy

A complete data science case study: preprocessing, modeling, model validation and maintenance in Python

• Udemy
• 6 hours 52 minutes
• On-Demand
• Paid Course

Microcredential

Statistical Analysis with R for Public Health

2076 ratings at Coursera

Learn statistical analysis with R for public health applications. Covers key concepts, data analysis techniques, and hands-on practice using real-world health datasets to address major public health challenges.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 4 courses

Complete Machine Learning with R Studio - ML for 2026

2674 ratings at Udemy

Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in R programming language - R studio

• Udemy
• 12 hours 3 minutes
• On-Demand
• Paid Course

Stanford CS221 - Artificial Intelligence: Principles and Techniques - Autumn 2021

2 reviews

Master AI fundamentals through Stanford's comprehensive exploration of machine learning, search algorithms, probabilistic models, logic systems, and real-world applications.

• YouTube
• 1 day 7 hours 10 minutes
• On-Demand
• Free Video

Marketing Analytics: Forecasting Models with Excel

2285 ratings at Udemy

Master Marketing Analytics| Forecasting and Time Series analysis | Sales Forecasting| Build Forecasting models in Excel

• Udemy
• 6 hours 28 minutes
• On-Demand
• Paid Course

Introduction to Neural Networks and PyTorch

1897 ratings at Coursera

Learn to build and train deep neural networks using PyTorch, covering tensors, linear regression, logistic regression, CNNs, and transfer learning for practical AI applications.

• Coursera
• 18 hours 4 minutes
• On-Demand
• Paid Course