Classify User Behaviour using Machine Learning
About Course
Classify User Behaviour using Machine Learning, is a project that is implemented on Machine Learning to classify the user behaviour of students attending online programs. In this course, our mentor Madhu Parvathaneni alias Maddy will be implementing this project from scratch and this will help you to build this project.
In this episode, Maddy is demonstrating a live project ‘Classify User Behaviour using Machine Learning‘ using Python3, VS Code, pandas, numpy, scikit-learn, streamlit, matplotlib and seaborn.
Pre-Requisites to start
- Python3 Interpreter
- Visual Studio Code
- Visual Studio Code with Python Extension
Outcomes
- Get completion certificate by completing the project and exam
- Completion of a project Classify User Behaviour using Machine Learning
- Life Access to the Episode
Help/Contact Support
Join our Telegram Group: https://t.me/+3Fk4nGJs6qs5MzJl
Course Content
Laptop Setup
-
Installing VS Code
05:06 -
Installing Python Extension
02:08 -
Installing Python
04:57 -
Installing Jupyter Extension
04:14 -
Installing git on Windows
00:00 -
Work Submission
Project Setup
Python Programming
ML Fundamentals
Project Abstract
Exploratory Data Analysis
Training Models
Testing Models
ML Deployment
Live Demo
Submission
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