Algorithms in Python

Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you the confidence and skills when developing all the major machine learning models. In Pro Machine Learning Algorithms, you will first develop the algorithm in Excel so that you get a practical understanding of all the levers that can be tuned in a model, before implementing the models in Python/R.

BackTracking,Divide & Conquer,Dynamic Programming,Greedy Algorithms via Data Structures for Interview & problem solving

Acquire skills to build digital AI agents capable of adaptively making critical business decisions under uncertainties.

Acquire skills to build digital AI agents capable of adaptively making critical business decisions under uncertainties.

This course focuses on how to represent a graph using three common classes of graph algorithms - the topological sort to sort vertices by precedence relationships, the shortest path algorithm, and finally the spanning tree algorithms.