WalkSelf · AI, Tech & Engineering · AI & Machine Learning

Supervised Learning

Master the most common type of machine learning. Learn to build models that make predictions based on labeled data, covering regression and classification tasks.

Supervised Learning

Introduction to Linear Regression and Predictive Modeling

Building Machine Learning Models with Python from Scratch

Selecting the Right Machine Learning Model for Your Data

Foundational Machine Learning Algorithms

Introduction to Data Analytics and Machine Learning

Applied Machine Learning and Data Analytics: Advanced Data Mining

Machine Learning Essentials: Statistical Foundations and Practical Models

Practical Machine Learning in Python through Case Studies

Machine Learning with Python for Diabetes Prediction

Machine Learning with PySpark: Distributed Data Science at Scale

Machine Learning Model Training and Evaluation for Beginners

Predictive Modeling with Machine Learning for Beginners

Applied Machine Learning and Model Optimization

Machine Learning: Random Forest with Python from Scratch

Practical Machine Learning with R for Beginners

MLOps Foundations: Managing the Machine Learning Lifecycle

Predictive Modeling with Python: A Practical Guide to Forecasting

Problem-Dependent Resampling for Machine Learning

Random Forests in Python: Implementation and Evaluation

Foundations of Statistical Learning for Engineers

Statistical Learning and Machine Learning for Engineering

Essential Statistics for Machine Learning: A Practical Guide

Supervised Machine Learning and Performance Evaluation

ML Experiment Tracking and Model Evaluation for Beginners