- Mount filer
- In your personal directory on
filer, create a folder forProject01 - Download
data.pyand save it in yourProject01folder onfiler. - Add a
printstatement to the constructor of yourdataclass. - In your browser go to https://jupyter.colby.edu
- Login using your colby credentials
- In your browser, navigate to your
Project01directory - Create a new python3 notebook in
Project01 - In your new notebook type:
from data import Data d = Data()
- then hold shift and press enter
Description |
Lab Objectives
|
|---|---|
Contact Information |
Hannen Wolfe Teaching Assitant Office hours: |
Lab Policies |
AttendanceAttendance is mandatory and is worth 1 point of the respective project grade. If you are sick, email Hannen Wolfe before lab and accomodations can be made. Unless you have explicit permission before class, tardiness and leaving early is unacceptable. Multiple instances will effect your project grade. |
Grading Policies |
Lab GradesEach lab will be worth 1 point of the respective project grade. Grading Rubric: Lab DeadlinesLabs are due Thursday night (at 11:59pm), the day after the section in which the lab was assigned. Partial credit (up to 0.8pts) will be given for labs received by the following Tuesday night (at 11:59pm). Labs will not be accepted after the Tuesday following the lab's assignment. |
General Schedule |
Lab SectionsCS 251L-A: Wed. 1:00-2:20pm Davis 122CS 251L-B: Wed. 2:30-3:50pm Davis 122 |
9/8 |
Lab 01a: Python Review and JupyterAssignments:Software Installation: Wednesday, Sept 15th @ 1:00pmProject 1 Check-in due: Tuesday, Sept 14th @ 11:59pm |
9/15 |
Lab 01B: Intro to NumPy and MatPlotLibLab 01B zipfileDue on Classroom: Thursday, Sept 16th @ 11:59pm Partial Credit: Tuesday, Sept 21st @ 11:59pm |
9/22 |
Lab 02A: Matrix Transformations, Numpy and MatPlotLibLab 02a zipfileDue on Classroom: Thursday, Sept 23rd @ 11:59pm Partial Credit: Tuesday, Sept 28th @ 11:59pm |
9/29 |
Lab 02B: 3D Scatter Plots and Rotation MatricesLab 02b zipfileDue on Classroom: Thursday, Sept 30th @ 11:59pm Partial Credit: Tuesday, Oct 5th @ 11:59pm |
10/6 |
Lab 03A: Linear RegressionLab 03a zipfileDue on Classroom: Thursday, Oct 7th @ 11:59pm Partial Credit: Tuesday, Oct 12th @ 11:59pm |
10/13 |
Lab 03B: Polynomial RegressionLab 03b zipfileDue on Classroom: Thursday, Oct 14th @ 11:59pm Partial Credit: Tuesday, Oct 19th @ 11:59pm |
10/20 |
Lab 04A: Pandas and Principle Component AnalysisLab 04a zipfileDue on Classroom: Thursday, Oct 21st @ 11:59pm Partial Credit: Tuesday, Oct 26th @ 11:59pm |
10/27 |
Lab 04B: PCA and Image CompressionLab 04b zipfileDue on Classroom: Thursday, Oct 28th @ 11:59pm Partial Credit: Tuesday, Nov 2nd @ 11:59pm |
11/3 |
Lab 05: K-MeansLab 05 zipfileDue on Classroom: Thursday, Nov 4th @ 11:59pm Partial Credit: Tuesday, Nov 9th @ 11:59pm |
11/10 |
Lab 06A: K-Nearest NeighborLab 06a zipfileDue on Classroom: Thursday, Nov 11th @ 11:59pm Partial Credit: Tuesday, Nov 16th @ 11:59pm |
11/17 |
Lab 06B: Naive Bayes and KNNLab 06b zipfileDue on Classroom: Thursday, Nov 18th @ 11:59pm Partial Credit: Tuesday, Nov 23rd @ 11:59pm |
12/1 |
Lab 07: NetworksLab 07 zipfileDue on Classroom: Thursday, Dec 2nd @ 11:59pm Partial Credit: Tuesday, Dec 7th @ 11:59pm |