Gold Price Prediction with LSTM in Hindi 🪙

🔮 Gold Price Forecasting with LSTM | Time Series Deep Learning in Python

📁 My Kaggle Profile: https://www.kaggle.com/codingloading
💻 My GitHub Repository: https://github.com/DataScientist00


📦 Dataset Source:
Gold Price (2013–2023) Dataset
https://www.kaggle.com/datasets/farzadnekouei/gold-price-10-years-20132023/data

💻 Explore the Full Project Code:
https://www.kaggle.com/code/codingloading/lstm-based-gold-price-forecasting

📖 In this project, I build and train an LSTM (Long Short-Term Memory) model using TensorFlow and Keras to predict future gold prices based on historical data from 2013 to 2023. This project covers everything from data preprocessing, scaling, and sequence creation to training an LSTM model and evaluating it using real-world gold price trends.

🎯 Goal:
To demonstrate how to prepare time series data for deep learning, build a robust LSTM model for forecasting, visualize trends using ACF & moving averages, and accurately predict gold prices using past patterns.

🔍 What’s Covered?
✅ Loading and preprocessing gold price time series data
✅ Visualizing trends, seasonality, and autocorrelation
✅ Scaling and preparing input sequences for LSTM
✅ Building and training an LSTM model using TensorFlow
✅ Evaluating predictions and plotting training vs. test data
✅ Calculating accuracy using MAPE and inverse scaling

🚀 Perfect for:
Data Scientists, ML Engineers, Finance Analysts, and Deep Learning Enthusiasts interested in:

Time Series Forecasting

Financial Modeling

LSTM Architecture

Deep Learning for Sequential Data

Real-world applications of TensorFlow & Keras

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