This is a Real-Time Projected oriented workshop designed by AICouncil to understand End-to-End Project Development and Deployment as a Data Scientist. As a Data Scientist and Analyst we thought of only backend Job but here you will discover all sorts of challenges that a data engineer can face when real time project deployment is needed. You will start your learning right from scratch reach upto real time deployment of the project developed.
Python Basics and Data Science Packages: -
Data Analysis and Pre-processing
Machine Learning Intuitions
Machine Learning Model Building
Python Web-Server and User Interface
Model Deployment for Production
Problem Statement: - Develop a ML based Web App to predict the price of Used Car or Real Estate Property.
Description: - You will be provided with a dataset of some past selling of used car or real estate property. Now you need to use the given dataset to make a machine learning model which can predict the price of the product in future according to market scenario. The developed model needs to be deployed over a website for better user experience. In short it is a project where you will work from backend to frontend development and figure out all possible challenges as a data science engineer.