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CHANGELOG.md

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Changelog

All notable changes to this project will be documented in this file.

2019-07-07

Updated

S01 - SLU01:

  • In exercise 2.1, a typo just changed in the cell with the expected output: “The expected output is a dataframe with columns named "FootballClubs", "Country" and "TotalMarketValue", indexed from 0 to 4” to “The expected output is a dataframe with columns named “FootballClub", "Country" and "TotalMarketValue", indexed from 0 to 4.”

S01 - SLU02:

  • In the exercise 3,4,6,7,8,9 the question statement was updated.
  • In the exercise 9 the exercise itself was also updated.

S01 - SLU03:

  • New note from instructor in first section “Note about the grading”
  • In exercise “How does the average revenue of movies evolves over time? Set the plot title to "Average Movie Revenue by year", the exercise was re-formulated.
  • In exercise “How does the median revenue vary by movie genre? Label the x-axis as "Median Revenue", the exercise was re-formulated.

S01 - SLU06:

  • Updated asserts in exercises notebook (students! use this new exercise notebook, copy/paste your answers (if you have) to the new exercise notebook and use this new notebook to re-submit)

S01 - SLU07:

  • Updated asserts in exercises notebook (students! use this new exercise notebook, copy/paste your answers (if you have) to the new exercise notebook and use this new notebook to re-submit)

S01 - SLU08:

  • Typo in README title (Regressions -> Regression)
  • Updated asserts in exercises notebook (students! use this new exercise notebook, copy/paste your answers (if you have) to the new exercise notebook and use this new notebook to re-submit)

S01 - SLU15:

  • Update in formula of Learning Notebook (section 3.1.3. Scaling of numerical data - MinMaxScaler)

2019-07-13

Updated

S01 - SLU07:

  • In the learning notebook, chapter "2.3.1 - Derivative of error function" the formulas were updated (add minus sign)

S01 - SLU08:

  • The formulation of the final exercise was updated informing that it's optional

S01 - SLU16:

  • In exercise "Find the rest of the useless features", updated information about which classifier to use.

2019-07-20

Updated

S01 - SLU05:

  • Learning Notebook: In section "Spearman correlation", fix a typo while explaining Spearman called it Pearson.

S01 - SLU09:

  • Enviroment.yml with pinned versions of dependencies

S01 - SLU16:

  • Updated asserts in exercises notebook (students! use this new exercise notebook, copy/paste your answers (if you have) to the new exercise notebook and use this new notebook to re-submit)
  • Exercise Notebook: In last exercise, we are now explicitly using one of the training set sizes that was returned from the call to learning_curve.
  • Exercise Notebook: Referencing multiple comments and already closed issue 56 there was still some confusion around which tree-based classifier to use. Made another pass to make it more clear.

S01 - SLU18:

  • New version of Learning Notebook

S01 - SLU19:

  • New versions of Learning Notebook, Exercise Notebook and Example Notebook.

2019-07-29

New

S02 - Release of BLU01

2019-08-05

New

S02 - Release of BLU02

2019-08-12

New

S02 - Release of BLU03

2019-08-25

New

S02 - Release of HCKT02

2019-09-02

New

S03 - Release of BLU04

2019-09-09

New

S03 - Release of BLU05

2019-09-15

Updated

S02 - HCKT02: Added instructors solution

2019-09-16

New

S03 - Release of BLU06

Updated

S03 - BLU06: Added missing images to Learning Notebook 4, and minor changes to Learning Notebook 2

2019-09-29

New

S03 - Release of HCKT03

2019-09-30

New

S04 - Release of BLU07

2019-10-03

Updated

S04 - BLU07 - Exercise notebook: Fix problem description of final question

2019-10-07

New

S04 - Release of BLU08

2019-10-08

Updated

S04 - BLU08: Downgrade numpy to 1.17.1

2019-10-14

New

S04 - Release of BLU09

2019-10-27

New

S04 - Release of HCKT04

2019-10-28

New

S04 - HCKT04: Added instructors solution and test dataset labeled

2019-10-29

New

S05 - Release of BLU10

Updated

S05 - BLU10: Updated environment.yml

2019-11-05

New

S05 - Release of BLU11

2019-11-06

Updated

S05 - BLU11: LN2 fixes

2019-11-09

Updated

S05 - BLU11: LN1 and LN2 fixes

2019-11-17

New

S05 - Release of BLU12

Updated

S05 - BLU12: Fix in exercise notebook

2019-11-18

Updated

S05 - BLU10:

  • Learning Notebook Appendix – A.2.3 – missing arguments in csr_matrix() and csc_matrix() (issue #109)
  • LN 2/3 - Wrong value for CSR (issue #110)
  • Exercise Notebook Q2 - repeated question (issue #111)

2019-11-20

Updated

S05:

  • BLU10 - Exercise notebook: Added clarification for best-item on Q5 (issue #121)
  • BLU11 - Exercise notebook: Replaced Q4.1.3 to accept td-idf features regardless of their order (students! use this new exercise notebook, copy/paste your answers (if you have) to the new exercise notebook and use this new notebook to re-submit))
  • BLU11 - LN1: Clarification of 'Computing similarities' section on symmetric matrixes (#issue 116)
  • BLU12 - Fixed LN1 - S2 non personalized get most rated function