Library to help Data Science students
Project description
Data Science Helper Library
This library is designed to assist students in understanding key Data Science and Statistics concepts. It provides tools to analyze and validate statistical principles, including:
- Univariate & Bivariate Analysis
- Correlations
- Linear & Logistic Regression
- Predictive Modeling & Evaluation
Additionally, it offers utility functions to simplify data analysis and explanations of popular Python libraries such as:
- pandas
- scikit-learn
- seaborn
Whether you're exploring statistical relationships, building predictive models, or learning how different libraries work, this package will help make your Data Science journey smoother!
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