Descriptions
Machine Learning 2: Classification, Machine Learning 2: Classification is a hands-on course designed to help you master powerful classification models for data-driven predictions, including decision trees, logistic regression, KNN, and more. You’ll learn the supervised learning landscape, review the classification workflow, and address key topics like dependent and independent variables, feature engineering, data splitting, and overfitting. The course covers common classification models, model scoring, selection, and optimization, with practical case studies such as building a recommendation engine, analyzing customer behavior, predicting subscriptions, and extracting sentiment from reviews. This is not a coding course; you’ll use familiar tools like Excel to demystify complex topics and see exactly how they work.
What you’ll learn
- Master classification models for data-driven predictions
- Apply feature engineering, data splitting, and overfitting prevention
- Score, select, and optimize classification models
- Analyze real-world scenarios with practical case studies
Who this course is for
- Aspiring data scientists and analysts seeking classification skills
- Business professionals interested in predictive analytics
- Anyone looking to understand machine learning concepts without coding
Specificatoin of Machine Learning 2: Classification
- Publisher : Maven Analytics
- Teacher : Josh MacCarty
- Language : English
- Level : All Levels
- Duration : 4 hours and 0 minutes
Content of Machine Learning 2: Classification
Requirements
- We’ll use Microsoft Excel (Office 365 Pro Plus) for demos, but you are not required to follow along
Pictures
Sample Clip
Installation Guide
Extract the files and watch with your favorite player
Subtitle : English
Quality: 720p
Download Links
Downloadly
Rapidgator
Password file(s): www.downloadly.ir
File size
300 MB
