1-Day Machine Learning with Scikit Learn for Python

1-Day Machine Learning with Scikit Learn for Python (Virtual)


Course Information

No schedule.
  • Overview

  • Learning Outcomes

  • Who Should Attend

  • Testimonials

  • Trainer's Profile

  • Course Outline

Scikit-learn is a free machine learning library for Python. It is also the de facto Machine Learning package for Python. It consists of classification, regression, clustering, dimension reduction, model selection, and many data preprocessing functionalities. You can do many supervised and unsupervised machine learning with Scikit Learn. It also features various algorithms like support vector machine, random forests, and k-neighbours, and it also supports Python numerical and scientific libraries like NumPy and SciPy.

This Machine Learning with Scikit Learn for Python training aims to equip you with fundamental machine learning knowledge using such as classification algorithms and classification metrics, ensemble methods, regression and regularization, K-Means and Hierarchical Clustering and feature reduction with PCA. By using concrete examples and minimal theory, you will gain an intuitive understanding of the concepts and tools for building intelligent systems and machine learning processes.

Share this Course