Description
The Complete Visual Guide to Machine Learning & Data Science, the comprehensive visual guide to machine learning and data science course is published by Yudmi Academy. This course is for people who are looking for an intuitive and beginner introduction to the world of machine learning and data science. Build confidence and learn basic skills step by step with guided demos. Instead of memorizing complicated math or learning a new coding language, we’ll break down machine learning techniques to help you understand exactly how and why they work. Followed by simple, visual and interactive examples with user-friendly, Excel-based models to learn topics like linear and logistic regression, decision trees, KNN and naïve bayes, hierarchical clustering, sentiment analysis, etc. without writing a single line. You will learn the code.
During this course, we will introduce realistic scenarios to consolidate key concepts and simulate real data science and business intelligence cases. You’ll use profiling metrics to clean product inventory data for a local grocery store, explore the demographics of Olympic athletes with histograms and kernel densities, visualize traffic accident frequencies with heat maps, and more. .
What you will learn
- Learn the fundamentals of machine learning and data science without writing complex code
- Work with interactive and user-friendly Excel models to understand how machine learning techniques really work.
- Enriching data sets using engineering techniques such as one-way encryption, scaling and discretization
- Predicting deterministic outcomes using classification models such as K-nearest neighbors, n and naïve bayes, and decision trees.
- Creating accurate predictions and schemas using linear and non-linear regression models
- Use powerful techniques for clustering, data mining, data outlier detection, and dimensionality reduction
Who is this course suitable for?
- Anyone looking to learn the basics of machine learning through hands-on, interactive demos
- Data analysts or BI professionals looking to transition into data science or develop a fundamental understanding of machine learning.
- R or Python users looking for a deeper understanding of the models and algorithms in their code.
- Excel users who want to learn and apply powerful tools for predictive analysis
Course specifications The Complete Visual Guide to Machine Learning & Data Science
Chapters of The Complete Visual Guide to Machine Learning & Data Science course
Course prerequisites
- This is a beginner-friendly course (no prior knowledge or math/stats background required)
- We’ll use Microsoft Excel (Office 365) for some course demos, but participation is optional
Pictures
Sample video
Installation guide
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download link
File(s) password: www.downloadly.ir
Size
2.65 GB
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