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 TASK1.ipynb
Predicted marks for 9.25 hours is 94.75272937202871
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 Task2.ipynb
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 Task6.ipynb