I will train and evaluate a machine learning or deep learning model in python
ML Engineer, Data Analysis and Signal Processing, AI
About this Gig
Have a dataset and need a model that works? I'll train, evaluate and document a machine learning or deep learning model on your data and show you honestly how well it performs.
Best for:
- Tabular data (classification, regression)
- Time-series and sensor data (accelerometer, vibration, ECG-style)
- Image classification with transfer learning
You get:
- Clean data and a leakage-free train/validation/test split
- Baselines compared with a stronger model
- Evaluation (accuracy, F1, ROC-AUC, confusion matrix) in plain language
- Notebook or script, trained model file and source code
About me: M.Tech in Signal Processing and Machine Learning (NIT Jalandhar). My thesis model beat eight baselines, including XGBoost, on 39,000+ ICU records (IEEE CIPHER 2026). I also taught PyTorch and scikit-learn labs.
Before ordering, message me a short description of your data and goal and I'll tell you honestly if it's feasible. I don't promise a specific accuracy, since it depends on your data, but I do promise careful, honest evaluation.
Programming language:
Python
•
MATLAB
•
SQL
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
Excel
FAQ
What data format do you need?
CSV, Excel or an image folder. Please send a small sample first, so I can check that your data fits the problem.
Can you guarantee a specific accuracy?
No. Accuracy depends on your data. I'll show you honest results compared against baseline models, so you know exactly how well the model works.
Do I get the code and the trained model?
Yes. You receive the full source code (notebook or script) and the trained model file.

