Total: 25 pts
Start date: Tuesday Sept. 3
Due date: Tuesday Sept. 10
If you don't already have a version of anaconda installed, start by downloading anaconda and installing it (see for example here). When working on the exercises below, keep in mind that there exists a rich python documentation online. Don't hesitate to check the documentation and examples related to the functions you want to use.
1. (4pts) Numerical Linear Algebra: Numpy
# put your code here
2. (2pts) Towards multiclass classification: one-hot encoding
# put your code here
3. (6pt) Towards regression: sampling and matplolib
3a. (2pts) One dimensional In this exercise, we will successively generate points according to a function, sample pairs (t,f) from that distribution and plot the results
# put your code here
3b. (4pts) The two dimensional hyperplane
using Axes3D, matplolib and pyplot, as well as the meshgrid( ) and arrange( ) functions from numpy and the plot_surface( ) and scatter( ) functions from pyplot,
# put your code here
4. (3pts) Getting started with Pandas and Kaggle datasets
4a Download the car dataset on Kaggle and open this dataset with pandas.
# put your code here. Don't hesitate to check the online
# documentation on the panda library