00:08:27 Kim M: 👋😁
00:09:40 SriRam: Yay, summer time in SA
00:12:51 SriRam: lol
00:13:42 SriRam: Can someone help me with zoom, my Audio doesn’t work. I tried many microphones 🙁, all kinds of settings
00:14:01 SriRam: Any expert advice?
00:14:05 Raymond Balise: Mac or Windows?
00:14:10 SriRam: Mac
00:14:16 Raymond Balise: I supper common
00:14:27 Raymond Balise: there is an up arrow next to the mic
00:14:28 SriRam: 🙁
00:14:30 Raymond Balise: pick the mic there
00:14:40 Raymond Balise: Zoom usually guesses worng
00:14:53 SriRam: It says “same as system”
00:15:24 August: document html knit open that
00:15:24 Ryan Metcalf: Ctrl + Shift + B for building. Or Knit the single file.
00:15:29 Kim M: No other option? I see 'same as system' but the other option ('Microphone Array...') is selected
00:15:36 Raymond Balise: are you using an external mic
00:15:55 SriRam: Yes < I tried wired and wireless
00:36:18 Jon Harmon (jonthegeek): FYI: No newline between $$ and the equation to get it to render properly in HTML output. So:
$$Pr(Y = k|X = x) … {(x)}$$ works (even if it's multi-line in-between)
01:08:09 Raymond Balise: Lovely work. I need to get to another meeting.
01:12:36 Ryan Metcalf: Great job Mei Ling!
01:13:04 Kim M: Me. But I'm not sure I'll be able to get through.
01:13:14 Kim M: I'll try.
01:13:48 Laura Rose: sounds good!
01:14:05 Kim M: Ciao
Meeting chat log
00:22:00 Wayne Defreitas: YES tidymodels
00:31:06 August: cs = cubic spline
00:32:57 August: some additional stuff about splines in r
00:32:58 August: https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-019-0666-3
00:42:58 Wayne Defreitas: #can create custom function [metric_set()] to specify which model metrics we want.
#available functions: accuracy(), kap(), sens(),spec(), ppv(), npv(), mcc(), j_index(), bal_accuracy, detection_prevalence(), precision(), recall(), f_meas()
custom_metrics <- metric_set (accuracy, sens, spec)
00:44:24 Wayne Defreitas: custom_metrics(leads_results,
truth=purchased,
estimate=.pred_class)
00:44:43 August: https://yardstick.tidymodels.org/reference/metric_set.html
01:02:54 Wayne Defreitas: Running to another meeting…thanks everyone
Meeting chat log
00:20:03 Raymond Balise: nicely done
00:21:33 Mei Ling Soh: https://www.theanalysisfactor.com/count-data-considered-continuous/#:~:text=The%20issue%20with%20count%20variables,model%2C%20which%20require%20continuous%20data.&text=Treating%20that%20count%20variable%20as,in%20your%20particular%20data%20set.
00:30:04 SriRam: Just realised that GLM is not in the first edition (the book I have) :(
00:30:54 August: https://www.statlearning.com/
00:31:05 August: link at the bottom of page for 2nd edition
00:31:24 SriRam: Thank you August & Mei
00:32:25 August: 👍 anytime
00:42:27 Federica Gazzelloni: Thanks Raymond!!
4.20.2 Cohort 2
Meeting chat log
00:24:30 Ricardo Serrano: https://github.com/rserran/melbourne_housing_kaggle
00:24:39 Federica Gazzelloni: thanks
00:59:01 Jim Gruman: tidy(x, conf.int = FALSE, conf.level = 0.95, exponentiate = FALSE, ...) the exponentiate = TRUE will back out of the log to give just the odds
00:59:04 Anna-Leigh Brown: https://www.wolframalpha.com/input/?i=logistic+function
01:06:46 Jim Gruman: I will always question the glm breakpoint of 0.5, A good discussion for offline of a means of adjustment here: https://towardsdatascience.com/bank-customer-churn-with-tidymodels-part-2-decision-threshold-analysis-c658845ef1f
01:07:22 Jim Gruman: thank you Michael !
01:09:39 jlsmith3: Thank you, Michael!
01:09:44 Ricardo Serrano: Thanks, Michael!
Meeting chat log
00:10:56 Ricardo: https://www.polyu.edu.hk/cbs/sjpolit/logisticregression.html
00:14:57 Federica Gazzelloni: https://www.coursera.org/specializations/biostatistics-public-health Dr. John McGready, PhD, MS
01:10:26 Jim Gruman: thank you Michael! don't eat the mushrooms🍄
01:10:50 jlsmith3: Thank you, Michael!!
01:11:18 Ricardo: Thanks, Michael 👍
00:05:38 Jeremy Selva: 10pm
00:44:38 Rose Hartman: This has been super helpful for me, at least! Thank you 🙂
01:03:10 Mei Ling Soh: We will need to end soon.
01:03:22 Mei Ling Soh: I can present the lab next week
01:03:31 Mei Ling Soh: I have prepared the slides up to KNN
01:05:10 Rose Hartman: Thank you so much for this explanation today! Very helpful.
4.20.4 Cohort 4
4.20.5 Cohort 5
Meeting chat log
00:37:05 Derek Sollberger (he/him): Yes, you are describing the English and Greek letters correctly
00:50:26 Derek Sollberger (he/him): true positive rate = (# of true positives) / (# of all positives)