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