DataCamp Tests

This repository contains scripts and datasets used for various DataCamp tests and projects.

Project Structure

• Cheat_sheets/: Contains Jupyter notebooks with cheat sheets and examples of models.
• Datasets/: Contains various datasets used in the projects.
  • Real Estate/: Contains datasets related to real estate.
  • DVD_rental/: Contains datasets related to DVD rentals.
  • Coffeeshops/: Contains datasets related to coffee shops.
  • Credit_card_approvals/: Contains datasets related to credit card approvals.
• Rental_days_pred.ipynb: Jupyter notebook for predicting rental days using different regression models.

Notebooks

Rental_days_pred.ipynb

This notebook includes the following steps:

1. Data Preparation:

   • Dropping unnecessary columns.
   • Splitting the dataset into training and test sets.

2. Model Training and Evaluation:

   • Linear Regression
   • Lasso Regression
   • Random Forest Regressor

3. Model Fine-Tuning:

   • Using GridSearchCV to find the best parameters for the Random Forest Regressor.

How to Use

1. Clone the repository:

   git clone https://github.com/RazDwa1923/DataCamp_Tests.git