* Recordings and Certificates will be shared by March 20 *
WORKSHOP OVERVIEW
Forenoon : Coding concepts for Data Science and Machine Learning (9:30-13:00)
Part 1 - Essential concepts
Hello world and Printing
Data Types - Strings , Inputs, Tuples , Lists
Branching Programs
Iterations - While and For Loops
Functions
Classes and OOP concepts
Part 2 - Data Structures and Algorithms
Algorithmic complexity - Constant to Exponential
Search Algorithms (Linear and Binary search)
Sort Algorithms (Selection and Merge sort)
Hash Tables
Afternoon : Data Science and Machine Learning in action (14:00-17:00)
Part 3 - Advanced Algorithms
Greedy algorithms
Graph optimization problems
Dynamic programming
Part 4 - Machine Learning with Python
Data Visualization in Python
ML essentials - Vectors & Distance Metrics
K- Means clustering (Theory and Practice)
K- Nearest neighbour (Theory and Practice)
Regression (Theory and Practice).
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