Data Handling Hands-on What is Data Handling? This Repo is hands-on practice on Data Handling task. Data handling can be defined as collecting sets of data, maintaining security, and the preservation of the research data. Data handling can be represented visually in the form of graphs. Operations Performed Exploratory Data Analysis Handling Missing Values Standardlization Normalization Descretization Sampling Dimensionality Reduction Libraries Used: numpy pandas matplotlib sklearn References: Data Exploration Turorial Dataset is Donwnloaded from UCI Machine Learning Repository
