Experiment 1 Exploration of WEKA tool for Regression task.
Experiment 2
Exploration of WEKA tool for Classification task.
Experiment 3 Exploration of WEKA tool for Clustering task.
Experiment 4
Write a python program to import and export data using Pandas and
show the details of the dataset like number of rows, columns, first five
rows, size, number of missing values, sum, average, min and max
values from the numerical columns.
Experiment 5
Using Python language do the exploratory data analysis of dataset
imported in the lab 4.
Experiment 6
Implement the missing value, and outlier handling data preprocessing
techniques on the dataset imported in lab 4 or any other dataset.
Experiment 7
Implement feature scaling and one hot encoding data preprocessing
techniques on the dataset imported in lab 4 or any other dataset.
Experiment 8
Implement Dimensionality reduction using Principal Component
Analysis (PCA) method.
Experiment 9 Implement different techniques of handling imbalanced data.
Experiment 10
Write a Python program to demonstrate various Data Visualization
Techniques using Matplotlib and Seaborn libraries.
Note:- Refer to lab.md file in folder for documentation