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:

1. Data Exploration Turorial
2. Dataset is Donwnloaded from UCI Machine Learning Repository