Python Machine Learning

Python Machine Learning Course Outline

Our machine learning course provides an overview and hands-on practice. Course participants will be able to build, train, evaluate and deploy machine learning models with industry-specific data.

We recommend this course to anyone with a quantitative background who is getting started with machine learning. The course is suitable for practitioners and newcomers with a basic knowledge of calculus and statistics, and can be tailored to your needs.

  • Overview of the pandas library for quick data manipulation.
  • Visualizing and grouping data in pandas.
  • Feature engineering and preprocessing.
  • Univariate data analysis. Visual data quality.
  • Machine Learning fundamentals. Overview of scikit-learn.
  • Supervised Learning.
  • Unsupervised Learning.
  • Cross validation and model selection.
  • Introduction to neural networks and deep learning.
  • Convolutional neural networks for image processing.
  • Recurrent neural networks for time series.
  • Outlier detection with autoencoders.