Python for Data Science and Machine Learning

During this course, you will learn how to unlock the potential of Python for data analysis, visualization, and machine learning.

The course covers trainings models with scikit-learn, best practices for transforming your data with Pandas, creating plots and graphs with Matplotlib and Seaborn, cleaning and preparing your data with Pandas, Scipy and Scikit-learn, construct a neural network with Keras and Tensorflow, …

By the end of this course, you will be able to use Python to create Machine Learning solutions and you will understand how to evaluate and improve the performance of the solutions you create.

The course will also introduce the fundamentals of neural networks and how to build deep learning models using TensorFlow, Keras or Pytorch