Outlier Detection and Treatment
Outlier Detection and Treatment: A Comprehensive Guide Outliers are data points that significantly deviate from the rest of the dataset. They can arise due to various reasons such as errors….
Tag: Data Preprocessing
Handling Missing Data
Handling missing data is a crucial part of data preprocessing, as missing values can lead to biased estimates, reduced statistical power, and inaccurate model predictions. Below is a detailed guide….
Python Regular Expressions for Data Cleaning
Python Regular Expressions for Data Cleaning – A Detailed Guide Regular Expressions (RegEx) are a powerful tool for pattern matching and text manipulation in Python. In data cleaning, RegEx helps….
Data Visualization with Seaborn
Data Visualization with Seaborn – A Comprehensive Guide 1. Introduction to Data Visualization & Seaborn A. What is Data Visualization? Data visualization is the graphical representation of data that helps….
Data Visualization with Matplotlib
Data Visualization with Matplotlib – A Comprehensive Guide 1. Introduction to Data Visualization & Matplotlib Data Visualization is an essential aspect of data analysis, machine learning, and business intelligence. It….
Pandas for Data Manipulation
Pandas for Data Manipulation: A Comprehensive Guide 1. Introduction to Pandas Pandas (Python Data Analysis Library) is a powerful and flexible tool for data manipulation, analysis, and cleaning. It is….
NumPy for Numerical Computation
NumPy for Numerical Computation: A Comprehensive Guide 1. Introduction to NumPy NumPy (Numerical Python) is the foundation of numerical computing in Python. It provides efficient and fast operations on large….
Introduction to Python for Data Science
Introduction to Python for Data Science 1. Introduction Python is one of the most widely used programming languages in data science, machine learning, and artificial intelligence. Its simple syntax, powerful….
A/B Testing
A/B Testing: A Comprehensive Guide Introduction A/B Testing, also known as split testing, is a statistical method used to compare two versions of a product, webpage, marketing strategy, or any….
Chi-Square Test
Chi-Square Test: A Comprehensive Guide Introduction The Chi-Square Test is a non-parametric statistical test used to determine whether there is a significant association between two categorical variables. It is widely….