gkolovos/NoisyDataHandling

Noisy Data Handling

In this repository we handle the problem of noise in a dataset

Noisy Datasets usually consists of noisy data, outliers and null values. In this project we use a dataset taken from Kaggle.

In the first part, we create noise and we add the noise to the dataset. We also add some null Values and outliers.

In the second part, we handle the null values and the outlies using ML techniques such us BoxPlot.

Access to my Colab notebook as a viewer here :

PART A: https://colab.research.google.com/drive/1_h4fwmz8Tboq6Jflt4L1gyPuv4XZ2oWm?usp=sharing

PART B: https://colab.research.google.com/drive/1Gn20jNJyKVL8d6H-qi4KzITTsSzChKgG?usp=sharing