Udemy - Machine Learning for BI, PART 2 - Classification Modeling torrent

Machine Learning for BI, PART 2: Classification Modeling



MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 49 lectures (2h 31m) | Size: 566.4 MB
Demystify Machine Learning and build foundational Data Science skills for classification & prediction, without any code!
What you'll learn:
Build foundational machine learning & data science skills, without writing complex code
Use intuitive, user-friendly tools like Microsoft Excel to introduce & demystify machine learning tools & techniques
Enrich datasets by using feature engineering techniques like one-hot encoding, scaling, and discretization
Predict categorical outcomes using classification models like K-nearest neighbors, naïve bayes, decision trees, and more
Apply techniques for selecting & tuning classification models to optimize performance, reduce bias, and minimize drift
Calculate metrics like accuracy, precision and recall to measure model performance

Requirements
This is a beginner-friendly course (no prior knowledge or math/stats background required)
We'll use Microsoft Excel (Office 365) for some course s, but participation is optional
This is PART 2 of our Machine Learning for BI series (we recommend taking PART 1: Data Profiling & QA first)

Description
If you're excited to explore Data Science & Machine Learning but anxious about learning complex programming languages or intimidated by terms like "naive bayes", "logistic regression", "KNN" and "decision trees", you're in the right place.

This course is PART 2 of a 4-PART SERIES designed to help you build a strong, foundational understanding of Machine Learning: