I will build machine learning regression and classification models in python
Data Analyst Python and Machine Learning
About this Gig
Are you looking to extract business value from your raw data or deploy accurate predictive machine learning models? I provide end-to-end supervised machine learning solutions in Python, customized to your exact goals.
What I Offer:
- Data Preprocessing & Cleaning: Handling missing values, outlier removal, feature scaling, and categorical encoding.
- Supervised Machine Learning: Building regression models (predicting continuous metrics like revenue or house prices) and classification models (binary or multi-class for churn, fraud, etc.).
- Model Evaluation & Tuning: Optimization using GridSearchCV/RandomizedSearchCV, cross-validation, feature importance, $R^2$, RMSE, Confusion Matrix, and ROC-AUC curves.
- Deployment & Production Code: Clean, well-commented, modular .py scripts, saved model artifacts (.pkl).
Tech Stack:
Python | Scikit-Learn | Pandas | NumPy | Seaborn | Matplotlib
Why Choose Me?
- Production-ready, clean Python code
- Structured pipeline design & clear metric interpretations
- Fast turnaround with responsive support
Please send a message with your dataset and project requirements before placing an orde
Programming language:
Python
Frameworks:
Scikit-learn
Tools:
Excel
My Portfolio
FAQ
What do you need from me to get started?
I need your dataset (in .csv, .xlsx, or xls) and a brief description of your goal, including what target variable you want to predict.
What if my dataset needs heavy cleaning or missing data handling?
Complete data preprocessing and feature engineering are included in all packages (Basic, Standard, and Premium) before training any machine learning model.
What deliverables will I receive upon completion?
You will receive a clean, fully documented Python scripts (.py), trained model files (.pkl / .joblib), and visual evaluation reports (charts & metrics summary).
What if my dataset needs heavy cleaning or missing data handling?
Complete data preprocessing and feature engineering are included in all packages (Basic, Standard, and Premium) before training any machine learning model.

