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I will build time series forecasting models using python and lstm
About this Gig
I will help you forecast your time series data using Python with machine learning and statistical models like ARIMA, Simple RNN, and LSTM. I will analyze trends, patterns, and seasonality in your data to deliver reliable predictions and visualizations. This gig is perfect for sales, stock, electricity, or any kind of time-based data.
What you'll get:
-Cleaned and preprocessed data
-Forecast model (ARIMA / RNN / LSTM)
-Trend analysis and prediction plots
-Full Python code with documentation
I use libraries like Pandas, NumPy, Matplotlib, Scikit-learn, and TensorFlow. I also offer optional services such as API integration, cloud deployment, and performance monitoring. Lets turn your time series into actionable insights!
Programming language:
Python
•
R
Frameworks:
Scikit-learn
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Keras
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PyTorch
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Panda
Tools:
Jupyter Notebook
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OpenCV
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TensorFlow
FAQ
What do you need from me to get started?
I need your time series data (CSV/Excel), with timestamps and values. If you’re unsure, I can help format it.
Will I get the Python code used for modeling?
Yes, all packages include the complete Python source code and visual outputs.
What if I don’t know which model to use?
Don’t worry! I’ll analyze your data and select the most suitable forecasting model.
