The Complete Visual Guide to Machine Learning & Data Science - Explore Data Science & Machine Learning topics with simple, step-by-step demos and user-friendly Excel models (NO code!)
Sure! Here’s a brief summary of “The Complete Visual Guide to Machine Learning & Data Science” course on Udemy 1:
This course is designed for everyday people looking for an intuitive, beginner-friendly introduction to the world of machine learning and data science. It aims to build confidence with guided, step-by-step demos and learn foundational skills from the ground up. Instead of memorizing complex math or learning a new coding language, this course breaks down and visualizes complex concepts in an easy-to-understand way.
The course covers topics such as:
- Introduction to Machine Learning
- Data Preprocessing
- Regression
- Classification
- Clustering
- Association Rule Learning
- Reinforcement Learning
- Natural Language Processing
- Deep Learning
The course also includes practical exercises and quizzes to help you test your knowledge.
What you'll learn
- Build foundational machine learning & data science skills WITHOUT writing complex code
- Play with interactive, user-friendly Excel models to learn how machine learning techniques actually work
- Enrich datasets using feature engineering techniques like one-hot encoding, scaling and discretization
- Predict categorical outcomes using classification models like K-nearest neighbors, naïve bayes, and decision trees
- Build accurate forecasts and projections using linear and non-linear regression models
- Apply powerful techniques for clustering, association mining, outlier detection, and dimensionality reduction
- Learn how to select and tune models to optimize performance, reduce bias, and minimize drift
- Explore unique, hands-on case studies to simulate how machine learning can be applied to real-world cases
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