Decision Tree

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Introduction to Machine Learning in Sports Analytics (Coursera) Coursera
University of Michigan

Introduction to Machine Learning in Sports Analytics (Coursera)

Statistics & Data Analysis Data Science

Dive deep into the world of sports analytics with our Introduction to Machine Learning in Sports Analytics course. Gain expertise in applying machine learning techniques using Python's scikit-learn toolkit on real-world athletic datasets. Explore various algorithms and learn how to predict outcomes in professional sports, enhancing your understanding and skills in data analysis.

Jun 29th 2026
4 Weeks
Machine Learning Linear Regression Logistic Regression
Details
Advanced Learning Algorithms (Coursera) Coursera
Stanford University,DeepLearning.AI

Advanced Learning Algorithms (Coursera)

Data Science

Expand your knowledge in machine learning by diving into 'Advanced Learning Algorithms'. This course will guide you through building and training complex neural networks using TensorFlow for effective multi-class classification tasks. You'll also learn best practices for developing machine learning models that generalize well to real-world data and scenarios, as well as explore decision trees and ensemble methods like random forests and boosted trees.

Jun 29th 2026
4 Weeks
Algorithms Machine Learning Neural Networks
Details
Trees, SVM and Unsupervised Learning (Coursera) Coursera
University of Colorado Boulder

Trees, SVM and Unsupervised Learning (Coursera)

Statistics & Data Analysis Data Science

Dive into 'Trees, SVM and Unsupervised Learning' - an advanced course designed to equip you with the skills needed to construct sophisticated predictive models using support vector machines (SVM), decision trees, neural networks, and XG boost. This course is perfect for data scientists and machine learning enthusiasts looking to expand their expertise in classification techniques.

Jun 29th 2026
4 Weeks
Statistics Regression Neural Networks
Details
Classification Analysis (Coursera) Coursera
University of Colorado Boulder

Classification Analysis (Coursera)

Statistics & Data Analysis Data Science

Dive into the 'Classification Analysis' course and unlock a deep understanding of how to classify data using various powerful algorithms. This comprehensive course on Coursera will guide you through key classifiers like K-Nearest Neighbors (KNN), Decision Trees, Support Vector Machines (SVM), Naive Bayes, and Logistic Regression. You'll gain practical experience by applying these techniques to actual datasets, enhancing your ability to perform data analysis effectively.

Jun 22nd 2026
5-12 Weeks
Classification Logistic Regression Support Vector Machines
Details
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