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Hands-on Practice on Data Handling
datahandling's Introduction
- 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.
![data-handling-1633087089](https://user-images.githubusercontent.com/58986628/194480331-56bd098e-9ebb-4038-a61b-4110c083d0b4.png)
- Exploratory Data Analysis
- Handling Missing Values
- Standardlization
- Normalization
- Descretization
- Sampling
- Dimensionality Reduction
- numpy
- pandas
- matplotlib
- sklearn
- Data Exploration Turorial
- Dataset is Donwnloaded from UCI Machine Learning Repository
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