NASDAQ Stock Analysis | Data Preprocessing & Milestone Visualization (Part 1)
Автор: Kube Learn
Загружено: 2025-06-10
Просмотров: 4
📈 Welcome to Part 1 of the NASDAQ Stock Price Prediction Series!
In this video, we begin our journey into predicting NASDAQ stock prices using deep learning (LSTM). We’ll start by exploring the dataset, cleaning it, and visualizing the overall trend with significant market milestones from 2019 to 2025 — including the COVID crash, Donald Trump's trade tensions with China, and the AI-driven rally.
🔍 In this part, you’ll learn:
📂 How to load and explore NASDAQ historical data
🧹 Cleaning & understanding the dataset structure
📅 Annotating major market milestones (e.g. US-China trade war, pandemic crash, Fed decisions, NVIDIA surges)
📉 Visualizing the NASDAQ closing price trend
This foundational step sets the stage for building a highly accurate LSTM model in upcoming parts.
🎓 Great for: Data Science & ML learners | Stock market enthusiasts
🛠️ Tech Stack: Python (Colab), Pandas, Matplotlib, Seaborn, TensorFlow
👉 Stay tuned for Part 2, where we dive into moving averages and data scaling for LSTM model training!
🔔 Don’t forget to LIKE, SUBSCRIBE, and TURN ON NOTIFICATIONS for Parts 2 & 3!
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