I will build a python machine learning model and deploy as streamlit web app

I will build your Machine Learning model in Python and deploy it as a live, interactive Streamlit web app so you (or your clients) can make predictions directly from a browser, no code needed.

WHAT YOU WILL GET

Clean data preprocessing pipeline (handling missing values, encoding, scaling)

Trained ML model classification OR regression (RandomForest, Logistic Regression, SVM, XGBoost, etc.)

Model evaluation Accuracy, F1-Score, ROC-AUC, RMSE (whichever applies)

Feature importance chart

Fully functional Streamlit web app where users input data and get instant predictions

Clean, well-commented Python code

GitHub repository with your project (on request)

USE CASES I HAVE WORKED ON

Customer Churn Prediction (Telecom)

IPL Match Winner & Player Performance Prediction

Employee Attrition Analysis

Crop Disease Detection (CNN + PyTorch)

Healthcare AI Chatbot (RAG + LLM)

Superstore Sales & Profit Analysis

️ TECH STACK

Python · Pandas · NumPy · Scikit-learn · Streamlit · Matplotlib · Seaborn · Pickle · SMOTE · PyTorch (for deep learning projects)

WHAT I NEED FROM YOU

Your dataset (CSV or Excel)

The target column you want to predict

Any specific requirements or preferences