Python Customer Churn Prediction Model
Budget: $30 – $250 USD
Title: I will build a customer churn prediction model using Python
Description / Project Brief:
Hi, I need a freelancer to develop a machine learning model that predicts customer churn for my business. The project includes:
Data Cleaning & Preprocessing:
Handle missing values, remove duplicates, encode categorical variables.
Prepare the dataset for model training.
Exploratory Data Analysis (EDA):
Analyze trends and patterns in the dataset.
Create visualizations to show factors affecting churn.
Machine Learning Model Development:
Train a supervised learning model (like Logistic Regression, Random Forest, or KNN) to predict customer churn.
Evaluate the model using metrics like accuracy, precision, recall, and F1-score.
Report & Recommendations:
Provide a brief report summarizing insights from data and model results.
Suggest strategies to reduce churn based on model findings.
Requirements for Freelancer:
Experience in Python, Scikit-learn, and data analysis.
Ability to deliver clean, well-documented code and visualizations.
Knowledge of customer behavior analysis is a plus.
Deliverables:
Cleaned dataset ready for ML.
Python scripts or Jupyter Notebooks with preprocessing, EDA, and model training.
Visualizations and a summary report.
Timeline: 5–7 days
Budget: $60–$120 depending on dataset size and complexity
Description / Project Brief:
Hi, I need a freelancer to develop a machine learning model that predicts customer churn for my business. The project includes:
Data Cleaning & Preprocessing:
Handle missing values, remove duplicates, encode categorical variables.
Prepare the dataset for model training.
Exploratory Data Analysis (EDA):
Analyze trends and patterns in the dataset.
Create visualizations to show factors affecting churn.
Machine Learning Model Development:
Train a supervised learning model (like Logistic Regression, Random Forest, or KNN) to predict customer churn.
Evaluate the model using metrics like accuracy, precision, recall, and F1-score.
Report & Recommendations:
Provide a brief report summarizing insights from data and model results.
Suggest strategies to reduce churn based on model findings.
Requirements for Freelancer:
Experience in Python, Scikit-learn, and data analysis.
Ability to deliver clean, well-documented code and visualizations.
Knowledge of customer behavior analysis is a plus.
Deliverables:
Cleaned dataset ready for ML.
Python scripts or Jupyter Notebooks with preprocessing, EDA, and model training.
Visualizations and a summary report.
Timeline: 5–7 days
Budget: $60–$120 depending on dataset size and complexity
Related categories:
Python
Machine Learning (ML)
Data Mining
Statistical Analysis
Data Visualization
Data Analysis