Machine Learning

Data Analysis, Cleaning and visualisation Exploratory Data Analysis : Data Cleaning and Preprocessing Data Visualization Techniques Feature Extraction and Feature Selection What is Data Analysis? Data analysis is the process of looking through, purifying, manipulating, and modelling data to glean valuable information and insights.  Exploratory Data Analysis (EDA) is the process of analyzing and visualizing data to extract insights and patterns. It is an essential step in the machine learning pipeline that helps to identify data quality issues, understand the distribution of data, detect anomalies, and gain a deeper understanding of the relationships between variables.