Application Deadline
October 1st, 2020.

Python Associate Programmer with AI/ML
Details
The course is an introduction to Machine Learning/Artificial Intelligence using python as a programming language. Anybody who knows one or more programming language/s can take this course. We will be going through the basics of Python and Machine Learning/AI
Duration
Course is 20 hours of classwork, divided into 10 lectures, 2 hours each.
Topics covered
Topics Covered | |
Lecture 1 | Introduction to Python Programming I,environment setup, brief comparison of Python with other languages, basic python commandline operations, Mathematical operators etc. |
Lecture 2 | Introduction to Python Programming II: Numbers, Strings,Control statements including conditions, loops. Functions in Python, Lambda Expressions |
Lecture 3 | Data Structures in Python: Lists, Sets, Tuples, Dictionaries, Arrays, List comprehension. Reading and Writing Files in Python |
Lecture 4 | Introduction to NumPy: Hands on practice with NumPy through multiple Exercises |
Lecture 5 | Introduction to Machine Learning I: Data Pre-processing, introduction to Pandas: Hands on practice with real data sets, understanding the importance of good representation of the data for Machine Learning Models |
Lecture 6 | Introduction to Machine Learning II: How Machines make themselves Learn? How Data is used to make predictions? What is Feature Engineering? |
Lecture 7 | Introduction to Regression and SVM |
Lecture 8 | Introduction to K-Nearest Neighbors, Decision Trees, Random Forest |
Lecture 9 | Introduction to Naïve Bayes, Clustering |
Lecture 10 | Data Visualization in Python with Matplotlib |
Instructor Profile:
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