I will analyze and build custom machine learning models for your CSV or excel dataset
Machine Learning Engineer
About this Gig
Need a custom Machine Learning solution for your CSV, Excel or any other structured/tabular data?
I build accurate, well-documented and reproducible machine learning models according to your data and objectives.
Services I can offer:
- Data preprocessing & cleaning
- Feature engineering & EDA
- Classification, regression & clustering
- Hyperparameter tuning
- Cross-validation
- Model evaluation & optimization
- Prediction pipeline creation
Algorithms:
Linear & Logistic Regression, Decision Trees, Random Forest, SVM, KNN, Naive Bayes, Gradient Boosting, AdaBoost, XGBoost, LightGBM, and CatBoost.
Tools:
Python, Scikit-learn, Pandas, NumPy, Matplotlib, and Jupyter Notebook.
You'll Receive:
- Clean source code
- Trained ML model
- Performance report (Accuracy, Precision, Recall, F1, ROC-AUC)
- Confusion Matrix
- Documentation
- Deployment-ready API integration
Please contact me before placing an order so we can discuss your requirements and choose the best solution.
Programming language:
Python
•
Colab
•
Other
Tools:
Jupyter Notebook
•
TensorFlow
My Portfolio
Other Data Science & ML Services I Offer
FAQ
Can you work with my own dataset?
Yes. I can work with CSV, Excel, SQL exports, and other structured datasets.
Which algorithms do you use?
I select algorithms based on your problem and compare multiple models when appropriate to identify the best-performing solution.
Will I receive the source code?
Yes. Every package includes clean, well-commented Python code.
Can you improve my existing model?
Absolutely. I can optimize, debug, fine-tune, or refactor existing machine learning projects.

