search-dataset-from-kaggle

Description

This project is designed to facilitate the search for datasets on https://www.kaggle.com. By entering a keyword, you can access a repository that displays various related dataset options, allowing you to select the most suitable one for your needs.

Prerequisites

Before you begin, make sure you have the following installed:

• Python 3.8 or higher
  
• Pip (Python package manager)
  

Project Requirements

1. File kaggle_connect.py:

This file requires the following dependencies to function:

• kaggle.api.kaggle_api_extended (imported as KaggleApi): required to interact with the Kaggle API.
  
• pandas: used for data manipulation and analysis.
  
• pathlib (imported as Path): useful for handling file and directory paths.
  
• curses: to create text-based user interfaces (TUIs) in the terminal.

2. File linear_regression.py:

This file depends on the following libraries:

• pandas: for data manipulation and analysis.
  
• matplotlib.pyplot: for creating visualizations and plots.
  
• numpy: for numerical calculations and matrix operations.
  
• sklearn.preprocessing (specifically OrdinalEncoder): for encoding categorical variables ordinally.
  
• sklearn.linear_model (specifically LinearRegression): to implement linear regression models.
  
• kaggle_connect: an internal module of the project, defined in the kaggle_connect.py file.
  
• curses: to create text-based user interfaces (TUIs) in the terminal.

Project Features

• Search for and download a relevant dataset from Kaggle.
  
  
• Select a descriptive variable from the dataset for analysis.
  
  
• Calculate the average of the selected values as a statistical measure.
  
  
• Assign a name to the descriptive variable
  
  
• Create a line chart to visualize the relationship between two variables (X, Y).