Python is one of the most popular languages and is gaining a lot of popularity in the machine world domain. It is not only easy to learn but allows users a lot of flexibility to design different projects. This unit will teach you about the application of data science and machine learning in python. The course is designed such that even students with no programming background will be able to learn the fundamental concepts.The scope will only be based on concepts which is needed in the real world. We will focus.
on the following topics:

• Python fundamentals
• Variables, data types & comparison operators
• Logical operators
• Loops and functions
• Lists and list comprehensions
• Dictionaries
• Lambdas functions
• Maps and filters

Libraries we will be covering:

• Pandas
• Numpy
• Matplotlib
• Scikit learn
• Seaborn
• Keras

Learning outcomes:

1. Become familiar with Python and its applications in data science
2. Ability to code from scratch machine learning algorithms using built-in libraries