Implement Infosys Stock Prediction using Bi-LSTM with Conv-1D

[PRIYANSHU2026]

Issue Title: Implement Infosys Stock Prediction using Bi-LSTM with Conv-1D

Description:

Develop a project to predict Infosys stock prices using a Bi-LSTM model combined with Conv-1D. The project will include data preprocessing, feature engineering, model construction, training, and evaluation.

Tasks:

1. Data Preprocessing:

   • Load and preprocess stock price data.
   • Normalize the data.

2. Feature Engineering:

   • Create lag features.
   • Split data into sequences for time series analysis.

3. Model Construction:

   • Implement Bi-LSTM with Conv-1D architecture.
   • Configure model parameters and layers.

4. Model Training:

   • Split data into training and validation sets.
   • Train the model and monitor performance.

5. Model Evaluation:

   • Evaluate model using appropriate metrics (e.g., RMSE, MAE).
   • Visualize predictions vs actual prices.

6. Documentation:

   • Document the data preprocessing and model training steps.
   • Provide insights and recommendations based on model performance

Labels:

• enhancement
• data-science
• machine-learning

[PRIYANSHU2026]

Sir my request please assign me level 3 for my dedication and regular in your repo please 🙏