Pre-experience Letter
From Web Developer to Machine Learning Engineer
Build a complete stock prediction portal with Django REST Framework, React, and Machine Learning. Earn a “Pre-experience” letter upon successful project completion.
INR 4,999 INR 2,999 40% Off
$65 $39 40% Off
30-days 100% money-back guarantee.
15.5 hrs Course Duration
End-to-End Project
Unique Pre-Experience Letter
No more “Course Completion” Certificates
Certificates only prove course completion, not skill mastery. That’s why we offer a Pre-Experience Letter, earned through rigorous project verification, demonstrating your ability to apply knowledge in real-world scenarios.
Prove your skills
3 easy steps to earn pre-experience letter
1. ENROLL & LEARN
Join the program and immerse yourself in the comprehensive curriculum covering Django, React, and Machine Learning fundamentals.
2. BUILD THE END-TO-END PROJECT
Apply your knowledge to construct a full-fledged stock prediction portal, integrating Django REST Framework, React.js, and LSTM model.
3. GET VERIFIED
Submit your completed project for expert review and verification. Upon successful assessment, receive your Pre-Experience Letter.
INR 4,999 INR 2,999 40% Off
$65 $39 40% Off
30-days 100% money-back guarantee.
Watch sample lessons and see if this course is right for you.
Get a thorough breakdown of the course content, designed to ensure you grasp every important concept along the way.
15.5 hrs Course Duration
End-to-End Project
Unique Pre-Experience Letter
Easy
Introduction
Getting Started
Software Installation
03:08
What is an API
03:48
What is REST API?
04:05
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Django REST Framework
Django Installation Start Project
07:07
Django Rest Framework Installation
01:42
Web Application Endpoint
08:29
Simple API Endpoint
07:24
Create Model
07:00
Manual Serialization
07:36
Serializers
02:37
Function Based View Get Method
11:05
Storing Data Using Serializers
05:55
Get A Single Object Primary Key Based Operation
07:16
Update Operation On Student
04:58
Delete Operation
03:11
Class Based Views
Class Based Views Introduction
01:55
Employee Model
04:41
Employee Serializer
01:31
Class Based View Get All Employees
07:12
Class Based Creating Employee
04:09
Getting Single Object
07:16
Update And Delete Employee
06:44
Mixins
Mixins Overview
04:21
List And Create Model Mixins
06:02
Retrieve Update Destroy Mixins
05:37
Generics
Generics Overview
04:01
ListCreateAPIView
06:03
RetrieveUpdateDestroyAPIView
03:52
Viewsets
Viewsets Introduction
01:52
List And Create Data Using Viewsets
09:01
Retrieving Single Object
03:30
ModelViewsets
04:13
Nested Serializers
Nested Serializers Introduction
02:24
Blog And Comment Model
04:43
Creating Serializers
02:42
Nested Serializers Implementation
09:51
Primary Key Based Operations On Blog Comment
06:05
DRF Pagination, Filtering, Search and Ordering
Pagination Overview
04:54
Global Pagination
07:28
Custom Pagination
07:43
Filtering
07:25
Custom Filter Employee By Designation
05:31
Custom Filter Employees By Name And ID
07:07
Advanced Filtering
07:24
Search Filters
07:33
Ordering Filter
04:06
Wrapping Up DRF
01:10
Moderate
React.js Installation & Introduction
React Js Introduction
00:51
Components And Virtual Dom
02:47
Pre-requisite For React
00:34
Install Node.js
03:37
Create React App Using NPX
04:58
Create React Project With Vite
04:48
Directory Structure
14:05
Edit Default React App
03:29
Deleting Default React App
05:33
React.js Fundamentals
Components
08:01
Fragment
03:13
JSX
10:01
Props
06:42
Events
06:52
Lifting State Up
08:33
State
07:03
useState Hook With Objects
06:00
Counter App
05:42
useEffect Hook
12:05
Cleanup Functions in useEffect
03:03
useMemo Hook
17:34
Prop Drilling
07:39
Context API
15:55
useContext Hook
04:37
useRef Hook
16:49
Custom Hooks
08:44
Conditional Rendering
05:50
Map Function
05:43
Inline CSS in React
07:40
Internal And External CSS in React
07:15
Loading Images
04:01
Forms Part 1
08:46
Forms Part 2
07:37
Wrapping Up React Basics
01:17
Introduction to Stock Prediction Portal
Introduction & Backend Django Setup
06:56
Frontend React Setup
04:59
Clearing Default Code From React
03:16
Store Secret Info
06:18
Git Setup
06:08
Implementing React Components
Bootstrap CDN
06:43
Component Setup
04:34
Header Design
03:47
Main Component Design
08:36
Footer Component
03:15
Button Component
08:01
Git Push
01:00
Challenging
Setting Up Django REST Framework & Serializers
Migrate And Create Superuser
02:48
Install Django REST Framework
02:42
User Serializer
10:10
Register View
03:02
API RUL Setup And Test
07:58
Git Push
00:51
Registration Design & Functionality
Creating Routes In React Stop At 13 43
10:24
Using Link Component To Navigate
06:29
Design Register Page
07:21
Registration Part 1
09:43
Registration Using Axios
09:48
Adding CORS Header
05:38
Error Handling
08:16
Clear Errors And Show Success Message
04:01
Loading Button With FontAwesome Icon
08:29
Git Push
00:46
Login Functionality with JWT Tokens
Simple JWT Implementation
07:38
Login API Request
11:24
Login With Error Handling
07:59
Authcontext
13:59
Logout Functionality And Git Push
05:00
Authentication Functionalities - Frontend & Backend
Access Token And Refresh Token Workflow
03:49
Creating A Protected View
09:24
Dashboard Component
03:45
Accessing Protected Endpoint From React
08:03
Axios Interceptors
03:40
AxiosInstance
08:10
Using Request Interceptor
12:45
Using Response Interceptor
15:38
Private Route
07:47
Public Route
04:03
Note About Next Section And Push To Github
01:35
Hard
Understanding Problem Statement - Machine Learning
Overview And What To Expect
03:19
What Is Machine Learning
01:22
Supervised Learning
01:28
Unsupervised Learning
01:58
Reinforcement Learning
02:58
Machine Learning Landscape
01:58
Classification
01:52
Regression
01:51
Understanding The Problem Statement
02:13
Understanding Problem Statement - Why Neural Network?
Introduction To Neural Network
05:14
Types Of Neural Networks
03:30
Recurrent Neural Network And LSTM
05:47
Setting Up The Stage for Machine Learning Project
Anaconda Miniconda Overview
01:28
Installing Miniconda On Windows
05:15
Installing Miniconda On Mac
04:43
Installing Jupyter Notebook
05:21
Pandas - For Data Analysis & Manipulation
Reading Csv Using Pandas
06:55
DataFrame And Series
04:16
Pandas Data Manipulation Part 1
17:26
Pandas Data Manipulation Part 2
08:44
Numpy - For Numerical Computation
Numpy 1d 2d 3d Arrays
12:47
Access And Read Numpy Arrays
07:54
Updating Arrays
10:27
Appending & Inserting
04:50
Save Load And Delete Arrays
02:59
Matplotlib - For Data Visualization
Matplotlib Line And Bar Charts
10:18
Histogram And Scatter Plot
09:43
Subplots And Legends
11:42
Plots Using Pandas DataFrame
05:49
Machine Learning Model Building, Training & Prediction
Important Disclaimer: Understanding Our Prediction Approach
Stock Prediction Overview
03:20
Data Collection
06:17
Data Exploration And Visualization
05:09
Feature Engineering
13:59
Data Preprocessing
11:33
Sequence Creation
07:12
Building Machine Learning Model
08:20
Model Training
03:26
Preparing Test Data
07:20
Making Prediction
08:04
Model Evaluation
05:26
Git Push
01:09
Implementing API Endpoint with Machine Learning Model
Accepting Stock Ticker From React
06:05
Creating Serializer View And URL
05:55
Handling Form Submission
04:44
Fetching Data From Yfinance
09:29
Handling Error And Loading Spinner
06:15
Generating Plot With AGG Backends
10:57
Showing Plot In React
08:38
Displaying 100 Days Moving Average Plot
10:05
Displaying 200 Days Moving Average Plot
04:21
Making Prediction
10:45
Displaying Final Prediction
04:31
Model Evaluation
05:42
Git Push
00:50
Submit Your Project for Review & Get Pre-Experience Letter
00:54
Thank You & Outro
Thank You & Outro
00:34
Ready to take your skills to the next level? Enroll now and start your journey toward mastering this course!
30-days 100% money-back guarantee. No questions asked.
Did you know? Django is used by many high-traffic websites such as Instagram, Pinterest, Dropbox, Disqus, and even NASA?
Machine Learning Techniques
You Can Do it All
Uncover hidden patterns in stock data with machine learning. From collecting information to building predictive models, master the art of transforming raw data into valuable insights.
Data Collection
Collect the historical stock data that will power your predictions.
Data Exploration & Visualization
Transform raw stock data into meaningful visuals, uncovering hidden patterns and trends within your stock data.
Feature Engineering
Craft insightful features to unlock the predictive power hidden within your stock data.
Model Building & Training
Leverage the power of LSTM neural networks to predict future stock movements.
Prediction & Evaluation
Put your models to the test and evaluate their predictive accuracy.
Meet Your Instructor
With over 10 years of experience in software development, I began as a PHP developer but soon fell in love with Python. While I specialize in back-end development, I’m equally skilled in front-end technologies like HTML5, CSS3, Bootstrap, JavaScript, and React.js.
Django is my go-to web framework for building scalable applications, but my real passion lies in machine learning and neural networks.
I focus on integrating these technologies into real-world applications, and I create courses that reflect the growing demand for AI-driven solutions. Join me to advance your skills and become a highly sought-after developer in the evolving tech landscape.
Some Incredible Reviews
– Yukti Sharma
“Ohhoo woww this course!! Exactly what I was looking for. Rathan has got incredible talent in explaining complex topics in an extremely simple way. Thanks a ton, Rathan!”
– Mike K.
– Chiara King
Student Reviews
There’s more… 🔥
Frequently Asked Questions
Do I need any prior experience of Django REST Framework, React and Machine Learning to take this course?
No, this course is also for absolute beginners, you don’t need to have any prior knowledge of Django REST Framework or React or Machine Learning.
However, as a prerequisite, basic knowledge of Python and a little bit of HTML/CSS are required to get started with this course.
How much does the course cost?
The original cost of this course is $65. Occasionally, we announce limited period discounts of up to 40%.
Is there a certificate of completion?
No, we do not provide any course completion certificates. Instead, you can earn a special “Pre-experience” letter upon successful project completion.
How do I request a refund?
To request a refund, simply contact our customer support team within 30 days of your purchase. We will ask you for some information about why you are requesting a refund, but we will never ask any questions that make you uncomfortable. Read more about our refund policy.
Can I interact with the instructor and other students?
Yes, you can interact with the instructor and other students through the course’s discussion forums or Q&A platform, and other communication channels.
What kind of support will I receive during the course?
You will receive support from the instructor and course assistants throughout the course. You can also get help from the course’s Q&A platform.
Is there a money-back guarantee for this online Django course?
Yes, we offer a 30-day money-back guarantee for this online Django course. If you are not satisfied with the course for any reason, you can request a refund within 30 days of your purchase.
30-days 100% money-back guarantee. No questions asked.