Useful Python scripts for Data Analysis
Полезные скрипты на Python для первичного Анализа Данных

Data Cleansing.py – Templates of basic data cleansing techniques, like dropping duplicates and filling null values

Exploratory Analysis.py – Templates of data exploring techniques, like describing datatypes, grouping and aggregating data

Feature Engineering.py – Templates for basic Feature Engineering

Model_Scikit-learn.py – Templates for creating ML Models including train and test split, providing pipelines, applying cross-validations with GridSearch calculating Mean Absolute Error, R Squared, Classification problem with ROC and AUC, Clustering using KMeans

PCA.py – Templates for Principal Component Analysis implemention

Libraries used: pandas, numpy, matplotlib, seaborn, sklearn