Issues
- 0
missing epsilon
#250 opened by PlumeRoberts - 0
X, Y instead of y, y_hat
#249 opened by PlumeRoberts - 0
Uppercase instead of lowercase
#248 opened by PlumeRoberts - 0
missing a parameter in the thetas
#247 opened by PlumeRoberts - 0
1 instead of 1.0
#246 opened by PlumeRoberts - 0
Name mismatch between definition and example
#245 opened by PlumeRoberts - 0
- 0
Day04 ex09 : incoherences in the subject
#243 opened by stelon77 - 0
- 0
ml04ex07 wrong number of curves asked
#241 opened by stelon77 - 0
ML02 ex03 (gradient): name syntax
#240 opened by mli42 - 0
- 0
- 0
ML01 ex05 (z_score): incoherent example
#237 opened by mli42 - 0
ML03 ex03 epsilon should be added to y_hat, not y
#236 opened by stelon77 - 0
ML01 ex03: Wrong loss_elem_ examples
#235 opened by mli42 - 4
ML00 ex01 (correction): Wrong examples
#233 opened by mli42 - 0
ML00 ex08: Interlude + Examples' cost
#232 opened by mli42 - 0
ML00 ex06: wrong return description
#231 opened by mli42 - 0
ML00 ex00: return type of Matrix * Vector
#230 opened by mli42 - 1
Day 08 - ex06 : Loss function example error
#229 opened by cnstll - 0
ML00 ex00: examples' precision
#228 opened by mli42 - 0
- 0
Ml03 ex04 numpy forbidden
#226 opened by Mazoise - 0
ml02 ex03 wrong shape for theta
#225 opened by Mazoise - 3
Remove iterative exercises
#222 opened by e-phe - 1
ML01 EX03 errors in examples
#191 opened by antoinedauchy - 2
Petite tipo dans l'ex07 du module02 bootcamp ML
#216 opened by jcammas - 1
Error in correction ML00 EX06
#192 opened by antoinedauchy - 1
CORRECTION ML01 EX00 The correction asks 'iterative way' but the subject doesn't
#195 opened by antoinedauchy - 1
CORRECTION ML01 EX01 Error in basic tests
#196 opened by antoinedauchy - 2
CORRECTION ML01 EX02 Error in basic tests
#197 opened by antoinedauchy - 1
CORRECTION ML01 EX00 missing 'reshape(-1, 1)'
#198 opened by antoinedauchy - 1
ML02 Ex06 Part1 : MSE Value
#202 opened by e-phe - 1
- 0
ML03ex07: Unfit data
#159 opened by PlumeRoberts - 1
- 0
ML03ex09: Examples are not vertical vectors
#160 opened by PlumeRoberts - 1
Module 04 - ex 09 - Practicing Regularized Logistic Regression: Need to rewrite the instruction
#169 opened by madvid - 1
Module 04 - ex 08 - Regularized Logisitc Regression: No mention of regularization factor
#167 opened by madvid - 1
Module 02 + 04 +(03?): Consistency in loss signature
#164 opened by madvid - 1
The instructions ask a vector of shape m * 1 as argument for x, instead of a shape m * n.
#188 opened by antoinedauchy - 0
Module 04 - ex06 - Ridge: Inconsistence in the rules
#161 opened by madvid - 1
Python03ex04 Kmeans: sklearn authorized
#168 opened by PlumeRoberts - 0
- 0
cicd(latex): resources as a submodule
#183 opened by ezalos - 0
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