Descriptions
Building Machine Learning Solutions with scikit-learnThis skill teaches learners how to build machine learning solutions using Python and the ubiquitous scikit-learn package, including applying classification, regression, and clustering. The The skill teaches learners how to build machine learning solutions using Python and the ubiquitous scikit-learn package, including applying classification, regression, and clustering. Experience the machine learning workflow as implemented in scikit-learn and use this workflow to build simple classification, regression, and clustering models. build sophisticated neural network models, apply dimensionality reduction techniques and combine modeling approaches. Choose Find the right model for your business problem and data and evaluate the effectiveness of that model.
What you will learn
- design and implement common machine learning solutions with scikit-learn
- Evaluation and validation of Scikit-Learn machine learning models
Specifying the development of machine learning solutions with scikit-learn
- Publisher : Plural view
- Teacher: Janani Ravi
- Language: English
- Level: All levels
- Number of courses: 10
- Duration: 24 hours
Content on building machine learning solutions with scikit-learn
Requirements
- Data Literacy
- Data Analytical competence
- statistics
- python programming
Pictures
Sample clip
installation Guide
Extract the files and watch them with your favorite player
Subtitles: English
Quality: 720p
Download links
Password file(s): free download software
File size
2.3GB