Explanation
The Complete Visual Guide to Machine Learning & Data Science This course is designed for everyday people looking for an intuitive, beginner-friendly introduction to the world of machine learning and data science. Build confidence with guided, step-by-step demos, and learn the fundamental skills from below. Instead of memorizing hard math or learning a new coding language, we’ll break it down and explore machine learning techniques to help you get it right. how and why they work.
Follow simple, visual examples and interact with user-friendly, Excel-based models to learn topics such as linear and logistic regression, decision trees, KNN, naïve bayes, hierarchical clustering, sensitivity analysis, and more – without writing a SINGLE LINE code. Throughout the course, we will present real-world scenarios to reinforce key concepts and apply them to real data science and business intelligence cases. You’ll use attribute metrics to refine inventory data for local stores, explore Olympic athlete demographics with statistics and kernel density, plot traffic accident frequencies on heat maps, and more.
What will you learn?
- Build basic machine learning & data science skills WITHOUT writing complex code
- Play with interactive, user-friendly models in Excel to learn how machine learning techniques actually work.
- Enhancing data collection using technical techniques such as one-on-one polling, measurement and classification
- Predict classification results using classification models such as K-nearest neighbors, naive bayes, and decision trees.
- Build accurate predictions and forecasts using linear and nonlinear models
- Apply powerful techniques for clustering, clustering, outlier detection, and size reduction
- Learn how to select and configure models to maximize performance, minimize bias, and minimize drift.
- Explore unique, hands-on studies to simulate how machine learning can be applied to real-world cases
Who is this course for?
- Anyone looking to learn the basics of machine learning through an interactive, beginner-friendly presentation
- Data Analysts or BI professionals looking to transition into data science or build a basic understanding of machine learning
- Users of R or Python are looking for a deeper understanding of the models and algorithms behind the code
- Excel users who want to learn and use powerful predictive analytics tools
Specificatoin of the Complete Visual Guide to Machine Learning & Data Science
Contents of the Complete Visual Guide to Machine Learning & Data Science
Requirements
- This is a beginner friendly course (no previous knowledge or maths/stats required)
- We will use Microsoft Excel (Office 365) for some course presentations, but participation is optional.
Pictures
Sample Clip
Installation Guide
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Download Links
Password file: free download software
file size
2.65GB