I will build time series models using deep learning lstm ,gru and arima using python
Data scientist
Level 1
Has met certain performance criteria and shows strong potential in the marketplace.
About this Gig
About This Gig
Note: Contact me before ordering.
Time is critical for business success. With machine learning, predicting the future is now essential. I specialize in time series analysis and forecasting, offering:
Time Series Decomposition, Filtering, and Modeling (ARIMA, GARCH, Stochastic Volatility, Matrix Profile, State-Space Models)
Financial/Economic Time Series Analysis
Multivariate Time Series Models
Forecasting, Backcasting, Nowcasting
Deep Learning Models (RNN, LSTM, GRU, CNN, Prophet, XGBoost)
What I Offer:
Data Analysis: Clean, analyze, and preprocess data for accuracy.
Model Selection: Choose the best model for your dataset.
Forecasting: Generate forecasts and visualizations using advanced ML tools.
Performance Evaluation: Assess models using MAE, RMSE, MAPE, R², and Adjusted R².
Reporting: Provide insights, trends, and a detailed report with actionable recommendations.
Note: Project budget depends on complexity and requirements
Expertise:
Feature learning
•
Classification
•
Decision trees
Programming language:
Python
•
R
•
SQL
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
APIs:
Azure Face API
Tools:
Jupyter Notebook
•
Excel
•
Colab
•
Azure ML Studio
Other Data Science & ML Services I Offer
FAQ
What information do you need to start working on my time series project?
Please provide your dataset (if available), the goal of the analysis (e.g forecasting, trend detection), and any specific requirements (e.g model preferences, timeframes) If you’re unsure, we can discuss it during the initial consultation
Which time series models do you recommend for my data?
The best model depends on your data and goals. For simple trends, ARIMA or Exponential Smoothing works well. For complex patterns, I may recommend deep learning models like LSTM ,GRU or Prophet. I’ll analyze your data and suggest the most suitable approach.
How do you ensure the accuracy of your forecasts?
I use robust performance metrics like MAE, RMSE, and MAPE to evaluate model accuracy. Additionally, I preprocess data to handle outliers and missing values, ensuring reliable and precise forecasts
Can you handle large or complex datasets?
Yes, I have experience working with large and complex datasets, including multivariate time series. I use advanced tools and techniques to manage, analyze, and model such data effectively.
What if I need revisions or additional insights after delivery?
I offer revisions to ensure you’re satisfied with the results. If you need additional insights or further analysis, we can discuss it, and I’ll provide a quote based on the new requirements

