Course curriculum
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1
ML_E-Learning Content
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Chapter 1 - Introduction to Python
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Anaconda installation
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Jupyter notebooks
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Chapter 2 - Introduction to Python Programming
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Multi Paradigm
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Open source
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Diversified
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Interpretation
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Easy and simple
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Dynamic typing
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Large Standard library
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Chapter 3 - Numbers and Variables - Numbers
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Operators
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Variables
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Chapter 4 - Strings
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String Methods
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String Operations
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Immutability
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String Formatting
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Chapter 5 - Lists
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List_Methods
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Tuples
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Dictionaries
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Dic_Methods
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Sets and Booleans
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Chapter 6 - Statements
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For loop
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While loops
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Chapter 7 - Functions
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Decorators
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Generators
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Chapter 8 - Object Oriented Programming (OOP) - Objects and Classes
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Attributes
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Methods
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Inheritance
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Polymorphism
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Supervised Learning
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Supervised Learning PDF
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Unsupervised Machine Learning
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Unsupervised Machine Learning PDF
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Reinforcement Machine Learning
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Reinforcement Machine Learning PDF
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Classification
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Classification PDF
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Regression
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Regression.PDF
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Clustering
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Clustering.pdf
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Association
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Association.PDF
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2
ML_Restaurant Review using NLP from Fox Trading_Project 1
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Restaurant Review using NLP
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NLP IPYNB File
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Restaurant Reviews TSV File
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3
ML_Wireless Sound Control from Fox Trading_Project 2
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Wireless Sound Control
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Wireless Sound Control PYTHON File
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4
Recordings of Project Live Classes
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Execution of Project 1 - Restaurant Review using NLP
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Execution of Project 2 - Wireless Sound Control
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5
Project Submissions
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Instructions for Submissions
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6
Self Driving Car - Internship Project from Fox Trading
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Self Driving Car - 1
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Self Driving Car - 2
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7
Recordings & Submission of Internship Project
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Execution of Internship Project - Self Driving Car
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Instructions for Internship Project Submission
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