In this course, understand Machine Learning techniques and practise using wide variety of datasets.Process, clean, visualize and analyse data using Python or R programming. We accommodate beginners in R or Python and help them grasp in-demand Machine Learning techniques. Post completion of this course, you can automate decision making and build web-based machine learning applications.
Build supervised machine learning models to make data-informed decisions. Evaluate and validate the model quality.
Build unsupervised machine learning models and use data processing techniques such as scaling and PCA.