Course Details

Machine learning (ML) is a subfield of AI that uses algorithms trained on data to produce adaptable models that can perform a variety of complex tasks.

At present, machine learning algorithms are widely used by various applications of speech recognition. Google assistant, Siri, Cortana, and Alexa are using speech recognition technology to follow the voice instructions.

Get Started with Machine Learning

To get started with a career in Machine Learning, an individual is expected to possess the following skills:

• Basic understanding of a programming language like Python/R/Scala.
• Data Modeling and Evaluation.
• In-depth knowledge of building and deploying machine learning projects.
• Ability to convert a data science problem into a machine learning problem.
• Good communication skills to convey the results of a machine learning based solution.

Course Syllabus

Phrase 1: Python Fundamentals for Beginners

• Importance and Applications of Programming Languages
• Intro to Python
• Intro to Jupyter Notebook
• Variables and Data-types in Python
• Operators in Python
• Tokens in Python
• Strings in Python
• Data Structures in Python
• If Statement in Python
• Looping Statements in Python
• Functions in Python
• Intro to Object Oriented Programming in Python
• Creating the First Class in Python
• Adding Parameters to a Class Method
• Creating a Class with Constructor
• Inheritance in Python

Phrase 2: Python for Machine Learning

• Intro to Numpy
• Joining NumPy Arrays
• Numpy Intersection & Difference
• Numpy Array Mathematics
• Saving and Loading Numpy Array
• Intro to Pandas
• Pandas Series Object
• Intro to Pandas Dataframe
• Pandas Functions