This course explains all the necessary concepts and skills required to mine, explore, cleanse, and get the highest quality of information from unstruc

This course introduces the fundamental concepts of text analytics and applies different algorithm to determine the sentiment of a given text.

This course introduces the basic principles and working of neural networks based on which the learner will be able to build some of the most complex n

This course focuses on the  concepts required to apply clustering and classification algorithms to text data along with hands-on exposure to model va

This course focuses on the vital importance of several specialized optimization problems such as transportation problems, knapsack problems and travel

This course introduces network flow problems, which is a particular type of optimization problem and explores the concepts of Shortest Path Problem an

This course is designed to guide learners through various stages of solving an optimization problem and focuses on providing exposure to building a ta

This course introduces the learner to the concept of time series data and  focuses on various visual and statistical techniques to analyse and infer

This course is designed  to help the learners understand various hyperparameters used in tree-based models such as decision tree to solve regression

This course will provide a comprehensive understanding of the PCA technique, covering both its theoretical concepts and practical implementation in re

This course will provide learners an in-depth understanding of decision tree algorithm and its practical implementation in a real-world based business

This course is designed  to help the learners understand various hyperparameters used in the Support vector machine for regression and classification

This course will allow learners to understand the concept of hyperparameter tuning for both regression and classification models that can help in impr

This course is designed  to help the learners start from the very foundation of the SVM algorithm and quickly become a professional in implementing t

This course is designed to provide a comprehensive understanding of Linear Regression Models.  Learners will explore aspects of model building and pr

This course is curated to introduce the learner to the underlying aspects of the Naive Bayes algorithm and apply the algorithm in a real-world based b