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

Machine Learning Strategy for Business and Technical Decision Makers

Applied Machine Learning: Practical Techniques and Applications

PySpark Machine Learning: Applying and Evaluating Predictive Models

Data Preparation for Machine Learning in Python

Foundational Machine Learning for Data Analytics

Data Science: Regression and Clustering Models

Core Machine Learning: Building High-Accuracy Python Models

Training and Evaluating Classification Models

Introduction to Regression Models: Training and Evaluation

AutoML for Classification: Find the Best Model with Python

Building and Training Machine Learning Models for Beginners

Applied Machine Learning with R: Clustering and Prediction

Applied Machine Learning: Modern Methods and Applications

Predicting Shipping Times with Machine Learning

AppDynamics Monitoring for Machine Learning Applications

Decision Trees for Machine Learning: Build, Tune, and Evaluate

Supervised Machine Learning: Build and Deploy Predictive Models

Building, Optimizing, and Validating Machine Learning Models

Classification Analysis: Foundations of Predictive Modeling

Foundations of Classification and Experimental Design

Machine Learning and Data Science for Technical Product Managers

Databricks Machine Learning: Building and Deploying Models

Practical Linear Regression and Predictive Modeling

Ensemble Methods in Machine Learning: Boost Model Accuracy