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gagolews
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lmlcr
Lightweight Machine Learning Classics with R (Book Draft)
https://lmlcr.gagolewski.com/
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SVD???
#52
gagolews
closed
3 years ago
1
Pareto distribution / power law
#51
gagolews
closed
3 years ago
1
R^2 (coef. of determination) is not r (Pearson's)-squared
#50
gagolews
closed
3 years ago
1
diff styles with my other book, copy/merge changes
#49
gagolews
closed
3 years ago
1
Upquote
#48
gagolews
closed
4 years ago
0
prefer notation X[,col] to X$col and X[["col"]]
#47
gagolews
closed
3 years ago
1
define residuals as y_true-y_pred
#46
gagolews
closed
3 years ago
1
R 4.0 uses stringsAsFactors = FALSE by default
#45
gagolews
closed
4 years ago
0
freeze at v0.2, create a new branch for v0.3
#44
gagolews
closed
4 years ago
0
stress in the optim chapter that error funs is supervised learning depend on X and Y!!
#43
gagolews
closed
3 years ago
1
Get rid of Ch.8, add an exercise with DEoptim and BFGS + k-means on unbalance
#42
gagolews
closed
3 years ago
3
hierarchical clustering: illustrate on a small dataset
#41
gagolews
closed
4 years ago
0
use MSR instead of SSR
#40
gagolews
closed
3 years ago
1
pandoc-fignos pandoc-eqnos pandoc-tablenos pandoc-secnos
#39
gagolews
closed
4 years ago
1
genieclust: ARI, genie() in Ch.7
#38
gagolews
closed
3 years ago
1
working with discrete variables?
#37
gagolews
closed
3 years ago
1
optimisation exercises: model regularisation (L2, L1), LAD regression
#36
gagolews
closed
3 years ago
1
cross-validation
#35
gagolews
closed
4 years ago
0
text classification example
#34
gagolews
closed
3 years ago
1
hill climbing / Tabu-like search in ch.8
#33
gagolews
closed
3 years ago
3
logistic regression & nnets -- draw class=1 regions with image()
#32
gagolews
closed
3 years ago
1
MNIST: Encode class `0` as `10`
#31
gagolews
closed
3 years ago
2
standardise vs. robust standardise vs. normalise data
#30
gagolews
closed
3 years ago
1
use poly(raw=TRUE)
#29
gagolews
closed
4 years ago
0
New illustrations in Ch.5
#28
gagolews
closed
4 years ago
1
Merge Ch.2+3 (3+4)
#27
gagolews
closed
3 years ago
1
Merge Ch.1+2 or start with KNN??
#26
gagolews
closed
3 years ago
2
add ontrack tasks 2,3,4 as exercises to app b,c,d
#25
gagolews
closed
4 years ago
0
. . . as bigskip
#24
gagolews
closed
4 years ago
0
bypass bookdown, use plain gitbook
#23
gagolews
closed
4 years ago
2
add ::: divs for solutions, exercises, and extra material
#22
gagolews
closed
4 years ago
1
Ch.1: Use "a+bX notation"
#21
gagolews
closed
4 years ago
1
Plots: add floating figures+captions, \@ref(fig:xxx) in text
#20
gagolews
closed
4 years ago
2
Plots: Change style, resize, add floating captions
#19
gagolews
closed
4 years ago
2
Ch.1&2: Play with a different dataset
#18
gagolews
closed
3 years ago
1
Ch2. Expert example: ill-conditioned simple regression problem
#17
gagolews
closed
3 years ago
2
Ch.4: Draw crossentropy(y_pred) for y_true=0/1
#16
gagolews
closed
3 years ago
1
Ch.4: Decision trees start with a cp=0.1 example
#15
gagolews
closed
4 years ago
0
Ch.4: glm on wines data fails on Y~., discuss why
#14
gagolews
closed
3 years ago
1
feature selection for lm and glm via hill climbing
#13
gagolews
closed
3 years ago
2
add bagging to trees, random forest
#12
gagolews
closed
4 years ago
0
Rename LMLCR → LML/IMLR/MLR?
#11
gagolews
closed
3 years ago
1
Appendix: Describe lists
#10
gagolews
closed
4 years ago
0
Appendix: Describe factors
#9
gagolews
closed
4 years ago
0
Appendix: Data Frame Wrangling in R
#8
gagolews
closed
4 years ago
0
Appendix: Matrix Algebra in R
#7
gagolews
closed
4 years ago
0
Appendix: Vector Algebra in R
#6
gagolews
closed
4 years ago
0
Appendices: Quick intro to R
#5
gagolews
closed
4 years ago
0
Chapter highlights
#4
gagolews
closed
4 years ago
0
Customise gitbook template
#3
gagolews
closed
3 years ago
1
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