Impact of Python on Data Science and E-Commerce

Event Brief:

Python is an open-source, interpreted, high-level language and provides a great approach for object-oriented programming. It is one of the best languages used by a data scientist for various data science projects/applications. It is an extremely versatile language that can be used to develop a wide array of products such as complex websites and mobile and web apps. It can be used for scripting, backend development, web development, mobile development, machine learning, big data, and IoT.

In this session, our speaker will briefly touch on the Frameworks for web development and APIs, what is required to build an E-Commerce web application, and Rest APIs. The speaker will also cover aspects of Python in Data Science, Machine Learning concepts, Python libraries we can use for Machine learning, and how we can make our first machine learning model using python.

What will you get to hear?

• Frameworks for web development and APIs
• What is required to build an E-Commerce web application, Rest APIs?
• Introduction to Django framework, its model, view, controller, DRF for Rest APIs, and TDD for Django
• Python in Data Science
  • Introduction to Python and Data Science
  • Introduction to Machine Learning
  • Machine learning concepts – Image Pre-processing, Feature Engineering, and Feature Extractions, ML Model Building
  • Examples of Django-based web application integrated with Machine learning
  • Python libraries we can use for Machine learning and how we can make our first machine learning model using python.