I will build a time series forecasting model using lstm, ml or python
About this Gig
Are you looking to predict future values from your data accurately?
I am a Data Scientist specializing in time series forecasting using advanced machine learning and deep learning models like LSTM, XGBoost, and more.
I can help you with:
- Time series forecasting (LSTM, ML models)
- Data preprocessing and cleaning
- Accurate prediction with graphs and visualization
- Performance evaluation (MSE, MAE, RMSE)
- Excel output with results
- Clean and well-structured Python code
I have experience working on real-world datasets such as rainfall prediction, temperature forecasting, and engineering sensor data.
Use cases include:
- Sales forecasting
- Weather prediction (rainfall, temperature)
- Sensor and engineering data analysis
Why choose me?
- Accurate and reliable results
- Clear communication
- Fast delivery
- Professional approach
Please contact me before placing an order to discuss your requirements.
Expertise:
Anomaly detection
•
Predictive analysis
Programming language:
Python
•
Colab
Frameworks:
Scikit-learn
•
PyTorch
Tools:
Colab
FAQ
What type of data do you need?
I need your dataset in Excel or CSV format along with a brief explanation of what you want to predict.
Which models do you use for forecasting?
I use LSTM, machine learning models like XGBoost, and statistical methods depending on your data.
Will I get source code and results?
Yes, as per the plan, you will receive clean Python code, prediction results, graphs, and Excel output.
Can you handle engineering or sensor data?
Yes, I specialize in time series and engineering data such as sensor readings, temperature, and similar datasets.

