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@mckennavaults: this was great @ellielang6 @carolinagreennn @mcnairshan

ken
ken
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Region: US
Wednesday 29 December 2021 17:43:03 GMT
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Comments

campbellmacyy
campbellmacyy :
this pics are the reason I kept watching
2021-12-29 18:02:55
218
zoiehamman_
ZOIE :
the pics make this 10x better
2021-12-29 17:47:30
313
thevillenow
THEVILLENOW :
Yo ken bad asf🥵
2021-12-29 22:49:16
114
morgaangreen
morgan green :
I love this
2021-12-29 18:20:17
38
scottybarroner_
scottybarroner_ :
app????
2021-12-29 23:51:20
1
nicholas_madelyn
nicholas_madelyn :
THIS IS GOING VIRAL WATCH
2021-12-29 22:13:16
16
decenthmnbeing
✝️ :
THE FIRST PIC OF MCNAIR IS SENDING ME LFMAOK
2021-12-30 01:46:05
1
sexygirl270
sexy :
now this is good
2021-12-30 00:39:41
1
caro_woods1
caroline woods :
i feel like i can relate to carol on a personal level
2021-12-30 01:10:22
3
carolinagreennn
carolina :
this is too good
2021-12-29 17:47:38
12
lexiyostt
lex :
KEN GOT GUNS
2021-12-30 01:27:36
2
.callieeee
callie :
oh pattie😭💀 lmfaoo love this
2021-12-30 00:04:40
1
cameron_kelley834
CaMeRoN_kElLeY :
Um
2021-12-29 18:55:37
2
harleyblackwell_
harley blackwell :
how did you do the pie chart thing?
2021-12-29 22:54:57
3
julia.purvisss
julia :
lmaooo
2021-12-29 18:01:16
1
christinamarie0
christina :
fyp lol this is so funny
2021-12-29 22:10:08
1
mcnairshan
mcnair :
ken i’m crying the pictures
2021-12-29 19:21:37
2
moneli.sh
monnn :
KEN😭😭
2021-12-29 19:01:16
2
ellielang6
ELLIE!! :
the pics i’m crying
2021-12-29 17:54:26
1
carolinagreennn
carolina :
i’m peeing
2021-12-29 17:47:34
1
taylorjesel
tay :
the pictures 😻
2021-12-29 19:01:27
1
lauralilliesparks
laura lillie :
what app did y’all use
2021-12-29 21:27:11
0
haebae05
haehae :
@me you jaeger and Nathan
2021-12-29 23:21:48
0
corb.23
corb😁🫒🫰💓 :
What app is it on
2021-12-29 20:03:56
0
To see more videos from user @mckennavaults, please go to the Tikwm homepage.

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These are 8 of the most important supervised machine learning algorithms you should know. 🧠 1️⃣ Linear Regression: Predicts a continuous value by modeling a linear relationship between inputs and the target. 2️⃣ Logistic Regression: Predicts the probability of a class, making it a common choice for classification. 3️⃣ K-Nearest Neighbors: Makes predictions based on the labels or values of nearby examples. 4️⃣ Support Vector Machine (SVM): Finds a decision boundary that separates classes while maximizing the margin between them. 5️⃣ Decision Tree: Makes predictions through a sequence of feature-based decisions. 6️⃣ Random Forest: Combines many decision trees to produce a more robust prediction. 7️⃣ Boosting: Builds an ensemble sequentially, with each new model focusing on errors from the existing ensemble. 8️⃣ Neural Network: Learns complex, non-linear relationships through layers of interconnected neurons. #SupervisedLearning #MLAlgorithms #PredictiveModeling #DataScienceEducation #MachineLearning
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