Classify User Behaviour using Machine Learning

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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

  1. Python3 Interpreter
  2. Visual Studio Code
  3. Visual Studio Code with Python Extension

 

Outcomes

  1. Get completion certificate by completing the project and exam
  2. Completion of a project Classify User Behaviour using Machine Learning
  3. Life Access to the Episode

 

Help/Contact Support

Join our Telegram Group: https://t.me/+3Fk4nGJs6qs5MzJl

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What Will You Learn?

  • Will be able to develop any ML project
  • Exploratory Data Analysis on dataset
  • 7 Stages of Machine Learning
  • Deployment of Machine Learning Models

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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