GRIP -The Spark Foundation

Task 0 - LinkedIn Profile

Task 1 - Simple linear regression task

Predict the percentage of marks that a student is expected to score based upon the number of hours they studied

Dataset: http://bit.ly/w-data

Notebook: https://github.com/AnuragAnalog/GRIP-Tasks/blob/main/task1/GRIP%20TASK1.ipynb

Predicted marks for 9.25 hours is 94.75272937202871

Task 2 - To Explore Unsupervised Machine Learning

From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually.

Dataset: https://drive.google.com/file/d/11Iq7YvbWZbt8VXjfm06brx66b10YiwK-/view?usp=sharing

Notebook: https://github.com/AnuragAnalog/GRIP-Tasks/blob/main/task2/GRIP%20Task2.ipynb

Task 6 - To Explore Decision Tree Algorithm.For the given ‘Iris’ dataset

create the Decision Tree classifier and visualize it graphically. The purpose is if we feed any new data to this classifier, it would be able to predict the right class accordingly.

Dataset: https://drive.google.com/file/d/11Iq7YvbWZbt8VXjfm06brx66b10YiwK-/view?usp=sharing

Notebook: https://github.com/AnuragAnalog/GRIP-Tasks/blob/main/task6/GRIP%20Task6.ipynb