Course Content :

•   Introduction to data analysis using Python
•   Use of Matplotlib library for graphical representations
•   File handling capabilities
•   Game development using PyGame library
•   Object recognition – objects, animals, objects from videos using OpenCV
•   Speech recognition
•   Handwriting recognition
•   XML file handling protocols
•   JSON file handling
•   Introduction to Data Science and Big Data using ApacheSpark
•   Data Science Process
•   Intro to Machine learning
•   Scikit library and usage
•   Supervised Learning – Classification, Regression models
•   Un-Supervised Learning – Clustering, Dimensionality Reduction models
•   Prediction and forecasting from the ML models
•   High level views on other emerging ML models

Who will benefit?

This course is ideal for any student completing their undergraduate or postgraduate degree who is keen to pursue a career in the growing field of Artificial Intelligence and Machine Learning.

Project Outcome :

•   Projects in Data science
•   Prediction and Forecasting patterns in weather, stock markets, in recent Covid pandemic,
•   Probability of an event happening
•   Arriving in Real-time decisions
•   Creating customer segmentation, sales forecasting
•   Sentiment Analyser