PG Program Preview - Artificial Intelligence and Machine Learning

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What you learn in PG Program Preview - Artificial Intelligence and Machine Learning ?

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Python Basics
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NumPy
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Pandas
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Visualisation
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EDA
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Modelling

About this Course

In today's world, AI has become the present and future. So our PG program - AIML (Artificial Intelligence and Machine Learning) has been designed by faculty from Great Lakes and The University of Texas at Austin-McCombs. So we are providing this preview course for you to go through some concepts covered in our AIML course. In this course, you will get familiarized with Python basics and Python libraries, and understand the Exploratory Data Analysis, and Data Pre- Processing, Linear Regression, Logistic Regression, K means Clustering.

Course Outline

Course Overview

SQL is a query processing language and Data Science is all about managing and manipulating data. This SQL for Data Science course gives you insights on how SQL is used in Data Science applications.

Start Learning- Introduction to AI & ML
Introduction to Python

This module starts by briefly introducing Python programming, and you will go through its installation process and some essential hands-on examples.
 

 

Numpy and Pandas
Python Visualizations
Exploratory Data Analysis and Data Pre- Processing
Intro to Supervised Learning: Linear Regression
Logistic Regression

This section explains logistic regression, its advantages and disadvantages, concordance, and difference between logit and logistic regression. Later you will understand the term error, collinearity, predictive modelling, and the importance of logistic regression. You will also understand to evaluate a logistic regression model. 

 

Intro to Unsupervised Learning: K means Clustering

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PG Program Preview - Artificial Intelligence and Machine Learning

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18.5 Hours

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