Univariate Analysis
Univariate Analysis: A Comprehensive Guide Introduction Univariate Analysis is the simplest form of data analysis, where we analyze one variable at a time. The goal is to understand the distribution,….
Tag: Data Preprocessing
Data Profiling
Data Profiling: A Comprehensive Guide Introduction Data Profiling is the process of examining, analyzing, and summarizing data to understand its structure, quality, and characteristics. It helps data scientists and analysts….
Handling Categorical Data
Handling Categorical Data in Machine Learning Using Pandas Introduction Categorical data represents discrete values that belong to a limited set of categories or labels. It is common in real-world datasets,….
Working with Date and Time Data
Working with Date and Time Data in Pandas Introduction Handling date and time data is essential in data analysis, particularly when working with time-series data, scheduling, or tracking events. Pandas….
Merging and Joining DataFrames in Pandas
Merging and Joining DataFrames in Pandas Introduction Pandas provides powerful functions to combine multiple datasets efficiently. In real-world scenarios, data is often stored in separate tables, requiring merging or joining….
Imbalanced Data Handling
Handling Imbalanced Data in Machine Learning Introduction Imbalanced data occurs when the distribution of classes in a dataset is highly skewed, meaning one class has significantly more samples than the….
Data Encoding Techniques (One-Hot Encoding, Label Encoding)
Data Encoding Techniques: One-Hot Encoding & Label Encoding Introduction to Data Encoding Data encoding is a crucial preprocessing step in machine learning, where categorical data is converted into a numerical….
Feature Selection Techniques
Feature Selection Techniques: A Comprehensive Guide Introduction Feature selection is a crucial step in machine learning that involves selecting the most relevant features (variables) for building an efficient and accurate….
Feature Engineering
Feature Engineering: A Comprehensive Guide Introduction Feature engineering is the process of transforming raw data into meaningful features that improve the performance of machine learning models. It involves selecting, creating,….
Data Normalization and Standardization
Data Normalization and Standardization: A Comprehensive Guide Introduction Data preprocessing is a crucial step in machine learning, and normalization and standardization are two fundamental techniques used to rescale data. These….