Web Development for Machine Learning projects

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₹5,000.00 ₹199.00

DJANGO FOR MACHINE LEARNING

Django is an open-source python web system empowering fast improvement of secure and viable sites. Django deals with a great part of the problem of web improvement, so you can zero in on composing your application without expecting to waste time. It has a flourishing and dynamic network, incredible documentation, and numerous alternatives for nothing and paid-for help.

What you’ll learn?

How the Django framework works?
How to showcase your project and demonstrations using Django instead of normal Python console?
How to create a view using Django?
How to develop applications using Django in real-life?
What’s the connection between the front-end and back-end pages?

prerequisite

Assumed that you know the Machine Learning

Course Outcomes:

Once after the completion of training,

You’ll be able to develop applications using Django.
You’ll have sufficient knowledge on web programming concepts.
You’ll know all the possible tricks and techniques with Django.
You’ll get to understand the benefits and components of Django with Python.

Excited?? Get off to a running start !!!

Course Features

Lectures 35
Quizzes 0
Students 200
Assessments Yes

Course Overview
- Lecture1.1
  
  Welcome to the course
- Lecture1.2
  
  The Three Set of Three Secrets 05 min
- Lecture1.3
  
  Download the Material
Introduction to Artificial Intelligence
- Lecture2.1
  
  What is Artificial Intelligence? 05 min
- Lecture2.2
  
  What is Machine Learning? 03 min
- Lecture2.3
  
  What is Deep Learning? 01 min
Anaconda Installation
- Lecture3.1
  
  Download the Anaconda 03 min
- Lecture3.2
  
  Create New Virtual Environment 06 min
- Lecture3.3
  
  Install the Required Library 03 min
- Lecture3.4
  
  Install Jupyter Notebook 03 min
End to End Project: Classification
- Lecture4.1
  
  Classification Problem Statement 07 min
- Lecture4.2
  
  Classification Explaination 06 min
- Lecture4.3
  
  How to choose final Model 03 min
- Lecture4.4
  
  Final Model 06 min
End to End Project: Regression
- Lecture5.1
  
  Regression Problem Statement
- Lecture5.2
  
  Choosing the Model 04 min
- Lecture5.3
  
  Fair Copy of Final Model Creation 07 min
Web Development
- Lecture6.1
  
  Web Development 04 min
- Lecture6.2
  
  Web Development Demo 03 min
- Lecture6.3
  
  Create Project and App 07 min
- Lecture6.4
  
  Setup Must watch 05 min
- Lecture6.5
  
  Settings 06 min
- Lecture6.6
  
  forms 03 min
- Lecture6.7
  
  Models 03 min
- Lecture6.8
  
  Input Html page 07 min
- Lecture6.9
  
  Views 04 min
- Lecture6.10
  
  Get and Put method 03 min
- Lecture6.11
  
  Backend View 04 min
- Lecture6.12
  
  Processed output 02 min
- Lecture6.13
  
  Output Page 05 min
- Lecture6.14
  
  App urls 05 min
- Lecture6.15
  
  Project url 03 min
- Lecture6.16
  
  Base Menu 03 min
- Lecture6.17
  
  Database comment and local server 09 min
- Lecture6.18
  
  Classification walkthrough 06 min

Ramisha Rani K

I am Ramisha Rani K.I have completed my M.Tech. in Communication Engineering at VIT,(Chennai Campus),Chennai. l have secured Second Topper of the VIT. Due to my interest and passion I have towards Artificial Intelligence, I serving as a Data Scientist. I focusing much on the field of Python, Machine Learning, Deep Learning, Natural Language Processing and Data Science.

Artificial Intelligence Trainer with four years of experience which allowed me to know and to discuss with Industry Trends, Market Analysis and Research oriented opportunities.

Belive in"Dreaming Big!Daring to spare!! Amaze yourself!!!" connecting passionate, enthusiastic and smart people to help them to find the best platfom.

I have trained nearly 5000+ students, 500+Faculities in this domain.