Build A Stock Prediction Portal – Django, React & Machine Learning

About Course

Not just another course, this is a hands-on program where you’ll build a complete, stock prediction portal using Django REST Framework, React and Machine Learning. Gain practical experience in the most in-demand technologies:

Django REST Framework: Master the backend, creating robust APIs to handle data and power your application.
React.js: Craft a dynamic, interactive frontend that visualizes stock predictions and engages users.
Machine Learning with LSTM: Master the art of stock price prediction. Learn how to choose the right machine learning approach, why LSTM models excel for time series data, and how to implement them for accurate forecasts.

Go Beyond Theory:
Step-by-Step Guidance: Follow clear video lectures and practical exercises. No prior ML experience required!
Real-World Project: Build a portfolio-worthy full stack application that showcases your skills to potential employers.
Expert Code Reviews: Get personalized feedback on your code from experienced developers.

Earn a Pre-Experienced Certificate:
Stand out from the crowd. Prove your skills by completing the project end-to-end. Our expert team will rigorously review your work, ensuring you’re truly ready for real-world challenges. This pre-experience certificate is more than just a course completion certificate—it’s an evidence of your practical abilities.

Pre-requisites:
You should know the basics of Python and Django to get the most out of this program.

Ready to get started? Enroll now!

Important Disclaimer: This prediction model should NOT be implemented in real stock market trading. It is developed purely for educational purposes to help you understand the principles of machine learning and stock market data. Relying on this model for actual investments can lead to significant financial risks.

Master Django REST Framework to build robust, scalable APIs.
Create dynamic, interactive frontends using React.js.
Implement LSTM models for accurate stock price predictions.
Understand the Machine Learning landscape.
Understand the fundamentals of time series data in machine learning.
Connect backend APIs with frontend interfaces seamlessly.
Handle real-world data for stock market prediction projects.
Make data exploration & visualization.
Earn a pre-experience certificate by completing an end-to-end project.

Course Content

Introduction

Introduction

03:05
Get The Most Out Of This Course

01:21
How To Get Help?

01:07

Getting Started

Django REST Framework

Django Installation Start Project

07:07
05 Django Rest Framework Installation

01:42
06 Web Application Endpoint

08:29
07 Simple API Endpoint

07:24
08 Create Model

07:00
09 Manual Serialization

07:36
10 Serializers

02:37
11 Function Based View Get Method

11:05
12 Storing Data Using Serializers

05:55
13 Get A Single Object Primary Key Based Operation

07:16
14 Update Operation On Student

04:58
15 Delete Operation

03:11

Class Based Views

Mixins

Generics

Viewsets

Nested Serializers

DRF Pagination, Filtering, Search and Ordering

38 Pagination Overview

04:54
39 Global Pagination

07:28
40 Custom Pagination

07:43
41 Filtering

07:25
42 Custom Filter Employee By Designation

05:31
43 Custom Filter Employees By Name And ID

07:07
44 Advanced Filtering

07:24
45 Search Filters

07:33
46 Ordering Filter

04:06
47 Wrapping Up DRF

01:10

React.js Introduction & Installation

48 React Js Introduction

00:51
49 Components And Virtual Dom

02:47
50 Pre-requisite For React

00:34
51 Install Node.js

03:37
52 Create React App Using NPX

04:58
53 Create React Project With Vite

04:48
54 Directory Structure

14:05
55 Edit Default React App

03:29
56 Deleting Default React App

05:33

React.js Fundamentals

57 Components

08:01
58 Fragment

03:13
59 JSX

10:01
60 Props

06:42
61 Events

06:52
62 Lifting State Up

08:33
63 State

07:03
64 useState Hook With Objects

06:00
65 Counter App

05:42
66 useEffect Hook

12:05
67 Cleanup Functions in useEffect

03:03
68 useMemo Hook

17:34
69 Prop Drilling

07:39
70 Context API

15:55
71 useContext Hook

04:37
72 useRef Hook

16:49
74 Custom Hooks

08:44
75 Conditional Rendering

05:50
76 Map Function

05:43
77 Inline CSS in React

07:40
78 Internal And External CSS in React

07:15
79 Loading Images

04:01
80 Forms Part 1

08:46
81 Forms Part 2

07:37
82 Wrapping Up React Basics

01:17

Introduction to Stock Prediction Portal

Implementing React Components

Setting up Django REST Framework & Serializers

Registration Design & Functionality

103 Creating Routes In React Stop At 13 43

10:24
104 Using Link Coomponent To Navigate

06:29
105 Design Register Page

07:21
106 Registration Part1

09:43
107 Registration Using Axios

09:48
108 Adding CORS Header

05:38
109 Error Handling

08:16
110 Clear Errors And Show Success Message

04:01
111 Loading Button With FontAwesome Icon

08:29
112 Git Push

00:46

Login Functionality with Simple JWT

Authentication Functionalities – Frontend & Backend

118 Access Token And Refresh Token Workflow

03:49
119 Creating A Protected View

09:24
120 Dashboard Component

03:45
121 Accessing Protected Endpoint From React

08:03
123 Axios Interceptors

03:40
124 AxiosInstance

08:10
125 Using Request Interceptor

12:45
126 Using Response Interceptor

15:38
127 Private Route

07:47
128 Public Route

04:03
129 Note About Next Section And Push To Github

01:35

Understanding Problem Statement – Machine Learning

130 Overview And What To Expect

03:19
131 What Is Machine Learning

01:22
132 Supervised Learning

01:28
133 Unsupervised Learning

01:58
134 Reinforcement Learning

02:58
135 Machine Learning Landscape

01:58
136 Classification

01:52
137 Regression

01:51
138 Understanding The Problem Statement

02:13

Understanding Problem Statement – Why Neural Network?

Setting up the stage for Machine Learning project

Pandas Basics

Numpy Basics

Matplotlib Basics

Machine Learning Model Building, Training & Predicting

Important Disclaimer: Understanding Our Prediction Approach
159 Stock Prediction Overview

03:20
160 Data Collection

06:17
161 Data Exploration And Visualization

05:09
162 Feature Engineering

13:59
163 Data Preprocessing

11:33
164 Sequence Creation

07:12
165 Building Machine Learning Model

08:20
166 Model Training

03:26
167 Preparing Test Data

07:20
168 Making Prediction

08:04
169 Model Evaluation

05:26
170 Git Push

01:09

Implementing API Endpoint with Machine Learning Model

171 Accepting Stock Ticker From React

06:05
172 Creating Serializer View And URL

05:55
173 Handling Form Submission

04:44
174 Fetching Data From Yfinance

09:29
175 Handling Error And Loading Spinner

06:15
176 Generating Plot With AGG Backends

10:57
177 Showing Plot In React

08:38
178 Displaying 100 Days Moving Average Plot

10:05
179 Displaying 200 Days Moving Average Plot

04:21
180 Making Prediction

10:45
181 Displaying Final Prediction

04:31
182 Model Evaluation

05:42
183 Git Push

00:50
184 Submit Your Project for Review & Get Pre-Experience Letter

00:54
185 Thank You & Outro

00:34

About Course

What Will You Learn?

Course Content

Introduction

Introduction

Get The Most Out Of This Course

How To Get Help?

Getting Started

Software Installation

What is an API

What is REST API?

Unlock Your Bonus – Download Premium Resources for FREE

Django REST Framework

Django Installation Start Project

05 Django Rest Framework Installation

06 Web Application Endpoint

07 Simple API Endpoint

08 Create Model

09 Manual Serialization

10 Serializers

11 Function Based View Get Method

12 Storing Data Using Serializers

13 Get A Single Object Primary Key Based Operation

14 Update Operation On Student

15 Delete Operation

Class Based Views

16 Class Based Views Introduction

17 Employee Model

18 Employee Serializer

19 Class Based View Get All Employees

20 Class Based Creating Employee

21 Getting Single Object

22 Update And Delete Employee

Mixins

23 Mixins Overview

24 List And Create Model Mixins

25 Retrieve Update Destroy Mixins

Generics

26 Generics Overview

27 ListCreateAPIView

28 RetrieveUpdateDestroyAPIView

Viewsets

29 Viewsets Introduction

30 List And Create Data Using Viewsets

31 Retrieving Single Object

32 ModelViewsets

Nested Serializers

33 Nested Serializers Introduction

34 Blog And Comment Model

35 Creating Serializers

36 Nested Serializers Implementation

37 Primary Key Based Operations On Blog Comment

DRF Pagination, Filtering, Search and Ordering

38 Pagination Overview

39 Global Pagination

40 Custom Pagination

41 Filtering

42 Custom Filter Employee By Designation

43 Custom Filter Employees By Name And ID

44 Advanced Filtering

45 Search Filters

46 Ordering Filter

47 Wrapping Up DRF

React.js Introduction & Installation

48 React Js Introduction

49 Components And Virtual Dom

50 Pre-requisite For React

51 Install Node.js

52 Create React App Using NPX

53 Create React Project With Vite

54 Directory Structure

55 Edit Default React App

56 Deleting Default React App

React.js Fundamentals

57 Components

58 Fragment

59 JSX

60 Props

61 Events

62 Lifting State Up