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Build a Stock Prediction Portal - Part 2 – Django, React & Machine Learning | Full Course
• Mar 7, 2025 • #djangoproject #stockpriceprediction
PART 2
This is not just another course—it’s a hands-on program where you’ll build a complete stock prediction portal from scratch using Django REST Framework, React, and Machine Learning. You’ll gain practical experience with the most in-demand technologies while working on a real-world project.…...more
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Description
Build a Stock Prediction Portal - Part 2 – Django, React & Machine Learning | Full Course
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Mar 72025
PART 2
This is not just another course—it’s a hands-on program where you’ll build a complete stock prediction portal from scratch using Django REST Framework, React, and Machine Learning. You’ll gain practical experience with the most in-demand technologies while working on a real-world project.
Prerequisites:
To get the most out of this course, you should have a basic understanding of Python and Django. No prior machine learning experience is required—we’ll guide you step by step.
✅ PLEASE WATCH PART 1 BEFORE PROCEEDING WITH THIS PART ✅
• Build a Stock Prediction Portal - Part 1 –...
📚 Enroll in this course on Udemy for lifetime access:
https://bit.ly/43h7uG7
GitHub Repo:
https://github.com/dev-rathankumar/st...
Help:
https://rathank.com/contact/
⏰ Timestamps:
00:00:00 - Introduction
00:00:16 - Access Token & Refresh Token Workflow
00:04:04 - Creating a Protected View
00:13:26 - Dashboard Component
00:17:09 - Accessing Protected Endpoint from React
00:25:09 - Axios Interceptors
00:28:49 - AxiosInstance
00:36:56 - Using Request Interceptor
00:49:36 - Using Response Interceptor
01:05:14 - Private Route
01:12:59 - Public Route
01:17:02 - What's in the next section?
01:18:37 - Stock Prediction Overview
01:21:57 - What is Machine Learning?
01:23:19 - Supervised Learning
01:24:47 - Unsupervised Learning
01:26:42 - Reinforcement Learning
01:29:41 - Machine Learning Landscape
01:31:39 - Classification
01:33:32 - Regression
01:35:23 - Understanding the Problem Statement
01:37:37 - Introduction to Neural Network
01:42:50 - Types of Neural Network (FNN, RNN, CNN)
01:46:21 - Recurrent Neural Network & LSTM
01:52:08 - Anaconda & Miniconda
01:53:36 - Installing Miniconda on Windows
01:58:52 - Installing Miniconda on MacOS
02:03:36 - Installing Jupyter Notebook
02:08:54 - Reading CSV Using Pandas
02:15:49 - Dataframe & Series
02:20:06 - Data Manipulation Part 1
02:37:30 - Data Manipulation Part 2
02:46:14 - Numpy (1D, 2D, 3D Arrays)
02:59:01 - Access & Read Numpy Arrays
03:06:54 - Updating Numpy Arrays
03:17:18 - Appending & Inserting Arrays
03:22:08 - Save, Load & Delete Arrays
03:25:03 - Matplotlib
03:35:20 - Histograms
03:45:03 - Subplots & Legends
03:56:45 - Plots using Pandas Dataframe
04:02:34 - Stock Prediction Overview
04:05:54 - Data Collection
04:12:11 - Data Exploration
04:17:20 - Feature Engineering
04:31:16 - Data Preprocessing
04:42:50 - Sequence Creation
04:50:01 - Building ML Model
04:58:20 - Model Training
05:01:47 - Preparing Test Data
05:09:07 - Making Prediction
05:17:12 - Model Evaluation
05:22:38 - Git Push
05:23:47 - Accepting Stock Ticker
05:29:53 - Creating Serializer, View & URL
05:35:46 - Handling Form Submission
05:40:30 - Fetching Data from yfinance
05:49:59 - Handling Error & Show Loading
05:56:15 - Generating Plot with AGG Backend
06:07:13 - Showing Plot in React
06:15:48 - Showing 100 DMA
06:25:53 - Showing 200 DMA
06:30:10 - Making Predictions
06:40:54 - Display Final Prediction
06:45:24 - Model Evaluation on Frontend
06:51:06 - Git Push
06:51:51 - Thank You & Outro❤️
#djangomachinelearning#djangoproject#stockpriceprediction
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