Lecture Notes || SNS Courseware

Subject Details

Dept : AIML

Sem : 4

Regul : R2023

Faculty : Nandhini N

phone : NIL

E-mail : nandhujee_01@rediffmail.com

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Lecture Notes

UNIT 1:

Machine Learning–Types of Machine Learning

Machine Learning process- preliminaries

Testing Machine Learning algorithms

Turning data into Probabilities and Statistics for Machine Learning -

Probability theory – Probability Distributions

Decision Theory

Turning data into Probabilities and Statistics for Machine Learning -

Bias, Variance and Tradeoff

1. Implement data crawlers Beautiful Soup, Ixml and scrapy 2. Implement data analyzing for a data set using SciPy and generate graph using NetworkX

3. Implement Resource Description Frame work by DBpedia 4. Create one- and two-dimensional random dataset and implement Series and Data Frames in python using slicing methods.

5. Implement the python code to compute the population proportions for the given problem

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