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I will build quantitative time series forecasting models using lstm in python
AI, ML Engineer And Data Analyst
Hi! I am an AI/ML Engineer and Data Analyst specializing in turning complex data into actionable insights and robust predictive models. With a strong background in Software Architecture, I build end-t...
Über diesen Service
Are you looking to extract actionable insights from volatile data? Whether it's stock market prices, sales forecasting, or demand prediction, raw data isn't enough. You need robust predictive models.
I am an AI/ML Engineer specializing in quantitative analysis and deep learning. I will build highly accurate, production-ready Time-Series Forecasting models tailored to your specific dataset.
What I offer in this Gig:
- Advanced Architectures: Custom Long Short-Term Memory (LSTM) and Hybrid LSTM-DNN models.
- Data Preprocessing: Handling missing values, rolling/sliding window segmentation, and scaling.
- Hyperparameter Tuning: Optimizing layers, epochs, and learning rates (Adam) to prevent overfitting.
- Evaluation Metrics: Clear reports using MSE, MAE, and R-Squared ($R^2$).
My Tech Stack: Python, TensorFlow, Keras, Pandas, Scikit-Learn.
Why choose me?
I don't just run basic scripts; I engineer architectures resilient to market volatility. I guarantee clean, well-commented, and reproducible Jupyter Notebooks/Python scripts.
Please inbox me before placing an order to discuss your dataset and goals! Let's beat the baseline together.
Expertise:
Feature-Lernen
•
Prädiktive Analyse
Programmiersprache:
Python
Frameworks:
scikit-learn
•
keras
•
Panda
Tools:
Jupyter-Notizbuch
•
tensorflow
•
Excel
•
Colab
Mein Portfolio
Meine weiteren Dienstleistungen im Bereich Datenwissenschaft & ML
FAQ
Q1: What do I need to provide to get started?
A: I need your historical time-series dataset (in CSV, Excel, or JSON format). It’s also highly helpful if you share your specific business goal (e.g., "predicting next week's closing price" or "forecasting monthly sales") so I can tailor the model architecture to your needs.
Q2: Why do you highly recommend messaging before placing an order?
A: Machine Learning projects are highly specific. I need to quickly review your dataset's size, quality, and complexity to ensure I can deliver the best possible accuracy and recommend the correct package for your budget.
Q3: Will I receive the source code?
A: Yes, absolutely! You will receive the complete, well-commented Python code (usually as a Jupyter Notebook), the trained model, and a requirements.txt file so you can easily reproduce the results on your own machine.
Q4: Do you deploy the model to the cloud or integrate it via API?
A: My core focus in this Gig is engineering the highest quality predictive model and delivering production-ready code. I do not provide cloud deployment (AWS/GCP) or API backend integration, as those are typically handled by your web development or DevOps team.
Q5: What if my dataset is messy or has missing values?
A: No problem at all! Real-world data is rarely perfect. Data cleaning, handling missing values, scaling, and applying sliding-window techniques are all included in my pipeline before training the LSTM model.
