I will build a machine learning prediction app with python and streamlit
Machine Learning Developer
About this Gig
Looking for a custom Machine Learning solution built specifically for your dataset?
Hi, I'm Romil Kumar, a Python & Machine Learning developer specializing in regression, classification, predictive analytics, and interactive Streamlit web applications.
Services
Custom Machine Learning models
Regression Models
- House Price Prediction
- Health Insurance Cost Prediction
- Sales & Cost Forecasting
- Any numerical prediction problem
Classification Models
- Heart Disease Prediction
- Spam Detection
- Customer Churn Prediction
- Fraud Detection
- Binary & Multi-class Classification
What's Included
Data preprocessing & cleaning
Feature engineering
Model training & comparison
Hyperparameter tuning
Model evaluation
Interactive Streamlit application
Clean Python source code with documentation
Algorithms
- XGBoost
- Random Forest
- Linear Regression
- Logistic Regression
- Decision Tree
- Scikit-learn
Evaluation Metrics
Regression: R², MAE, RMSE
Classification: Accuracy, Precision, Recall, F1 Score, Confusion Matrix
Tech Stack
Python | Pandas | NumPy | Scikit-learn | XGBoost | Streamlit | Matplotlib | Seaborn
Every solution is customized to your dataset and project requirements.
Please contact me before placing an order
Programming language:
Python
Frameworks:
Scikit-learn
Tools:
Jupyter Notebook
My Portfolio
FAQ
Do I need my own dataset?
No. You can provide your own dataset, or I can help you find a suitable public dataset.
Will I receive the source code?
Yes. Every package includes clean, well-documented Python source code.
Which algorithms do you use?
Depending on the problem, I use Linear Regression, Logistic Regression, Random Forest, XGBoost, Decision Trees, and other Scikit-learn models
Can you build a Streamlit web application?
Yes. Standard and Premium packages can include an interactive Streamlit application
Do you support both regression and classification?
Yes. I develop custom models for both regression and classification problems.

