Description:
pejmanaidataanalysis 0.1.2
Pejmanai Data Analysis Package
Overview
pejmanai_data_analysis is a Python package for comprehensive data analysis, including read data in csv format, data preprocessing, data visualization, and machine learning modeling for both regression and classification problems. It provides tools to streamline the process of understanding and modeling datasets with ease.
Features
Data Reading: Load datasets from CSV files with error handling.
Data Description: View basic statistics, data information, and missing values.
Data Preprocessing: Handle missing values and encode categorical variables.
Data Visualization: Generate scatter plots, histograms, KDE plots, and heatmaps.
Regression Models: Evaluate multiple regression models including Linear Regression, Ridge Regression, Decision Trees, Random Forests, and K-Nearest Neighbors.
Classification Models: Compare various classification models such as Decision Trees, Random Forests, Support Vector Machines, K-Nearest Neighbors, and MLP Classifiers.
Installation
You can install the package using pip:
pip install pejmanai_data_analysis
Usage
Data Reading
from pejmanai_data_analysis.app import read_csv
df = read_csv('path/to/your/data.csv')
print(df)
Data Description
from pejmanai_data_analysis.app import data_description
data_description('path/to/your/data.csv')
Data Preprocessing
from pejmanai_data_analysis.app import data_preprocessing
df_preprocessed = data_preprocessing('path/to/your/data.csv')
print(df_preprocessed)
Data Visualization
from pejmanai_data_analysis.app import data_visualization
data_visualization('path/to/your/data.csv', 'x_column', 'y_column')
Data Prediction (Regression)
from pejmanai_data_analysis.app import data_prediction
data_prediction('path/to/your/data.csv', 'target_column')
Data Classification
from pejmanai_data_analysis.app import data_classification
data_classification('path/to/your/data.csv', 'target_column')
License
This project is licensed under the MIT License
Contact
For any questions or feedback, please reach out to Pejman Ebrahimi.
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Customer Reviews
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