
Course Features:
This Course will refine your skills with the help of topics like Statistics, Trees, and Neural Network etc
and equip you to understand the predictive models of tomorrow with a blink of an eye.
About 40 hours of Instructor Led/Online Training
Projects in Machine Learning & Case studies
Course Objectives:
At the end of the course, one can know how to discover patterns in any given data and then
make predictions based on often complex patterns to answer business questions, detect and
analyse trends and help solve problems.
Labs:
The hands-on will be done, the participants should have adequate permissions to install the required
software on the machine.
Course Outline:
Projects
The topics will get you attuned with the applications of Artificial Intelligence and make you
comfortable with its libraries.Neural Networks, Tensor Flow, Keras
Next step we will begin with an introduction to Unsupervised Learning, its application areas, class of
Artificial Neural Networks and Deep Learning. Then, the concept of Clustering, its class and
algorithms will be explained.CNNRNN
Introduction to Unsupervised Learning
Clustering – Flat and HierarchicalK-MeansK-Medoids
Projects:
Price Prediction
Sentiment Analysis
Image Caption Generator
Music Note Generator and more