Class Announcements


Welcome to ANLY501

Lecture     3:30 pm - 6:00 pm     M     White-Gravenor 208     Aug 29, 2018 - Dec 10, 2018


CLASS 1: Aug 29

Sept 3 is Labor Day (no classes)

CLASS 2: Sept 10   CAREER FAIR IS THIS WEEK! - Required Sept 13&14

CLASS 3: Sept 17  

CLASS 4: Sept 24  

CLASS 5: Oct 1

CLASS 6: Oct 8 - HOLIDAY - no class

CLASS 7: Oct 15  

CLASS 8: Oct 22

CLASS 9: Oct 29   - MIDTERM EXAM - in-class - you cannot miss the exam. If you do: -30%

CLASS 10: Nov 5  

CLASS 11: Nov 12

NO CLASS : CLASS 12: Nov 19 - CANCELED   - Thanksgiving Week

CLASS 13: Nov 26  

CLASS 14: Dec 3  

CLASS 15: Dec 10 - Project Presentations

** Projects due NO LATER then Dec 11 by 11:59 pm ET.


Classes End Monday Dec 10
Final Exam: None - Once you submit your Project - you are done for the term!

Holidays:


*** We will not have class on Monday. Nov 19.


Holiday: Labor Day (M) Sept 3

Sept 7(F) drop add ends

Holiday: Columbus Day (M) Oct 8

Holiday: Thanksgiving (Nov 22 TH – Nov 25 S)  (W Nov 21 is canceled)

Classes End: Dec 10 (M)


For TA and Dr. Gates Office hours and other information, please check the class syllabus:
https://sites.google.com/site/drgatesanly501/syllabus

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Dear Class,

This note is looking ahead....To prepare for our Week 3 class - please read Ch 14 and the pandas and i/o PowerPoint set.

 

Both are Here:

https://sites.google.com/site/drgatesanly501/readings

 

Next, a good reference for many of the Week 3 lecture topics is:

Data Preparation for Data Mining, Dorian Pyle

(If you search, you can find good information online)

Topics for Week3 will include:

1) Data Wrangling and cleaning

2) Data reduction

3) pandas (dataframes and cleaning with - see Ch 14 and ppts)

4) Data Value re-assignment (such as n of one, etc.)

5) Data normalization

6) Data Smoothing - outliers, clustering, percentiles

7) Noise and Handling - Binning, regression, clustering, etc

8) Handling missing values and duplicates

9) Aggregation

10) Sampling

11) Feature creation and dimension reduction

We will have an InClass Activity in Week 3  - review Ch 14 and the pandas and i/o PowerPoints noted above.

See you all Wed.  - DrG

 







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