Pluralsight – Building Machine Learning Solutions with scikit-learn 2022-5

Building Machine Learning Solutions with scikit-learnThis skill teaches learners how to build machine learning solutions using Python and the pervasive scikit-learn package, including application of classifcation, regression, and clustering. This skill teaches learners how to build machine learning solutions using Python and the pervasive scikit-learn package, including application of classifcation, regression, and clustering. Experience the machine learning workflow as implemented in scikit-learn, and use that workflow to build simple classification, regression, and clustering models. Build sophisticated neural network models, apply dimension reduction techniques, and combine model approaches. Select the appropriate model for your business problem and data, and evaluate the effectiveness of that model.

What you’ll learn

• Design and implement common machine learning solutions using scikit-learn
• Evaluation and validation of scikit-learn machine learning models

Specificatoin of Building Machine Learning Solutions with scikit-learn

• Publisher : Pluralsight
• Teacher : Janani Ravi
• Language : English
• Level : All Levels
• Number of Course : 10
• Duration : 24 hours

Content of Building Machine Learning Solutions with scikit-learn

Requirements

• Data Literacy
• Data Analytics Literacy
• Statistics
• Python programming

Pictures

Sample Clip

Installation Guide

Extract the files and watch with your favorite player

Subtitle : English

Quality: 720p

Download Links

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 307 MB

File size

2.3 GB