🎯 Kickstarter Campaign Success Prediction

In recent years, crowdfunding has emerged as a popular funding model for individuals and small companies to bring their ideas to life. Among the various platforms, Kickstarter stands out due to its all-or-nothing funding approach — a project only receives funds if it reaches its target goal.

The goal of this project is to:

• Analyze real Kickstarter data
• Identify key factors that influence project success
• Build a predictive model that estimates whether a project will succeed or fail.

This project is part of a 5-day final sprint at Spiced Academy, where we apply everything we’ve learned — from data cleaning and EDA to classification models and evaluation.

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📁 Repository Structure

kickstarter-prediction/
│
├── data/                 # Contains raw and processed data
├── notebooks/            # EDA and modeling notebooks
├── src/                  # Reusable scripts for data handling and modeling
├── outputs/              # Visualizations and reports
├── requirements.txt      # Python dependencies
├── README.md             # Project overview
└── .gitignore            # Files to be ignored by Git

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⚙️ Set up your Environment

macOS type the following commands:

• For installing the virtual environment and the required packages, you can either follow these commands:

  pyenv local 3.11.3
  python -m venv .venv
  source .venv/bin/activate
  pip install --upgrade pip
  pip install -r requirements.txt

  Or...

• Use the Makefile and run make setup:

  make setup

  After that, activate your environment with:

  source .venv/bin/activate

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WindowsOS type the following commands:

• Install the virtual environment and the required packages using one of the following options:

For PowerShell CLI:

pyenv local 3.11.3
python -m venv .venv
.venv\Scripts\Activate.ps1
pip install --upgrade pip
pip install -r requirements.txt

For Git-bash CLI:

pyenv local 3.11.3
python -m venv .venv
source .venv/Scripts/activate
pip install --upgrade pip
pip install -r requirements.txt

Note:
If you encounter an error with pip install --upgrade pip, try:

python.exe -m pip install --upgrade pip

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🚧 Work in Progress

This project is still under active development. Stay tuned for:

• Data Cleaning & EDA
• Feature Engineering
• Model Building & Evaluation
• Insights & Recommendations for creators