I will build a deep learning model for time series forecasting

I will build and optimize time series forecasting models using LSTM, RNN, or GRU

Looking to forecast future trends using your time-stamped data? This gig specializes in time series forecasting, offering complete support from data preparation to model deployment.

With 5+ years of experience in deep learning and sequence modeling, I use powerful frameworks like TensorFlow and Keras to create efficient forecasting pipelines that deliver meaningful, accurate predictions.

Whats Included in This Gig:

Data Loading Extract data from files or web sources

Data Cleaning Handle missing values, remove outliers, refine structure

Data Balancing Optional balancing if the dataset is imbalanced

Exploratory Analysis Generate descriptive stats and visualizations

Data Preparation Format and shape time series input for modeling

Model Architecture Build and train models (RNN, LSTM, GRU)

Hyperparameter Tuning Adjust model settings for optimal performance

Training Monitoring Plot loss/accuracy curves

Evaluation Assess performance with suitable metrics

Model Deployment Deploy as a REST API (optional)

Tools and Frameworks:

• Python
• TensorFlow
• Keras
• Pandas / NumPy / Matplotlib
• Flask (for deployment)