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Schaly
Schaly
Schaly
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The videos of this channel are not meant to teach anything to anyone, they were just recorded so that I myself could get a better grasp of the material.
Logistic Regression in Python 2
26:08
2 года назад
Analysing Distributions in Tableau
18:53
2 года назад
Logistic Regression
13:24
2 года назад
Bias Variance Trade-Off
26:20
2 года назад
Random Forest Regression in R
26:03
2 года назад
Multiple Linear Regression in Python 2
50:44
2 года назад
Logistic Regression in PySpark
52:00
2 года назад
Chi-Squared in Tableau
23:07
2 года назад
Linear Regression 2 in PySpark
33:26
2 года назад
k-Nearest Neighbors (k-NN)
27:32
2 года назад
Logistic Regression in Python 1
40:34
2 года назад
Decision Tree Regression in Python
17:16
2 года назад
Support Vector Machine (SVM) in Python
35:21
2 года назад
Decision Tree
45:12
2 года назад
k-Nearest Neighbors (k-NN) in Python
41:04
2 года назад
Support Vector Machine (SVM) in R
23:13
2 года назад
Chi-Squared Statistical Hypothesis Test
44:14
2 года назад
Seaborn Exercises
12:57
2 года назад
Logistic Regression in R
37:36
2 года назад
Numpy Exercises
16:56
2 года назад
k-Nearest Neighbors (k-NN) in Python 2
24:09
2 года назад
Decision Tree Regression in R
26:00
2 года назад
Supervised Learning
26:01
2 года назад
Choropleth Maps Exercises
19:00
2 года назад
Classification Error Metrics
21:57
2 года назад
Комментарии
@PetronasBoyy
@PetronasBoyy 26 дней назад
I understood it thanks to your explanation. Thanks mate!
@juniordoctor7318
@juniordoctor7318 2 месяца назад
Nice tutorial
@patricklandia1
@patricklandia1 3 месяца назад
it's Amazing! , I see you from Uruguay!, Thank so much
@yefida
@yefida 4 месяца назад
I can't figure out who's copying whom but it's fascinating to watch everyone use the same same exact dataset and example when doing this.
@schaly2991
@schaly2991 4 месяца назад
Hello, hello! I can definitely say that I'm copying that from a course on Udemy. If you want to know more about the course, use the link in the description, and you'll probably find out more. Cheers!
@gizl1
@gizl1 4 месяца назад
Great video!
@JJGhostHunters
@JJGhostHunters 4 месяца назад
Hi...I am trying to compare Epsilon-Greedy, UCB and Thompson Sampling to select actions in the Taxi reinforcement learning problem. Unfortunately I cannot get Thompson Sampling to converge. Do you know of any resources that may help with this applied to the Taxi environment?
@schaly2991
@schaly2991 4 месяца назад
Hi there. Just so not to leave you waiting: sorry, I can't review and go into this topic at the moment
@greatape1011
@greatape1011 4 месяца назад
Thanks bro to explain it easily was very difficult to understand from udemy one
@chaibsettimohamed2773
@chaibsettimohamed2773 5 месяцев назад
Thanks
@user-xk1qn3pg4t
@user-xk1qn3pg4t 6 месяцев назад
Hi, great video but there is one thing I don't understand: why when you split the dataset you transformed the training set X_train using also y_train but for the test set X_test you didn't use y_test?
@sarahakutey9100
@sarahakutey9100 6 месяцев назад
Insightful
@sarahakutey9100
@sarahakutey9100 6 месяцев назад
Wow
@log8746
@log8746 6 месяцев назад
At 9:20, we can set the limits for the outer axes to get the same graph as the one shown in the question. Set the lower and upper limits for x and y respectively. ax1.set_xlim([0, 100]) ax1.set_ylim([0, 10000])
@yardleighLanthony
@yardleighLanthony 8 месяцев назад
Are you allowed to publish this? as it is a coding example from a udemy course?
@schaly2991
@schaly2991 8 месяцев назад
I'm not sure. I say in some of my videos that those are coming from a course. Also, if you click in the link in the description you'll also see the courses' link. It's also not monetized, doesn't have many views, and if ever requested I can remove it.
@linjiang6492
@linjiang6492 9 месяцев назад
Hi Schaly, in the Ads_CTR_Optimisation.csv, the 1 or 0 represents the reward, how does the model know the number of selections? for example, user 1 is rewarded for ad1, ad5 and ad9, how dose the model know which ad was selected for user1 to click? Thanks, Lin
@schaly2991
@schaly2991 9 месяцев назад
Hi there Lin, Sorry, it has been a long time since I studied UCB, I won't be able to assist you on that. Good luck on your learning experience!
@Tusharkc
@Tusharkc 9 месяцев назад
thanks bro
@anikethdeshpande8336
@anikethdeshpande8336 10 месяцев назад
Thanks for the explanation. I've one question though, for tf-idf , should we not multiply the result of count_vec and idf?
@schaly2991
@schaly2991 10 месяцев назад
Uhh, long time I don't see TF-IDF ^^. Most likely I may have forgotten something in this video, yes. So you're probably right
@LEGENDSNEVERDIE720
@LEGENDSNEVERDIE720 10 месяцев назад
Hello bro this is so much good info
@rakhikumari190
@rakhikumari190 10 месяцев назад
Hi Schaly, when i was working in this ,i found error "could not found vcorpus" even i install tm or snowball c. please help
@schaly2991
@schaly2991 10 месяцев назад
Uh, sorry, I can't assist you on that. I actually do not work using R, so I'd definitely have to search an answer to that as you probably have already tried. I'd use ChatGPT for that at first ^^
@momomartino9549
@momomartino9549 10 месяцев назад
Thank you , you're amazing!!
@schaly2991
@schaly2991 10 месяцев назад
Hey Kedar If you click on my github link in the video description, you'll see that I took some courses on ML. The one in the video is from www.udemy.com/course/machinelearning/ I paid the Brazilian equivalent of $5 dollars back then, it doesn't get cheaper than that. Go with the course itself instead of my videos. I worked with ML and DS for about 18 months, and these courses did help me to get a good undertanding about what is ML and DS. So yes, I'd recommend you to do these courses, try doing some personal projects on it, and keep trying to find a job in the area. The best way to learn is to actually work in the area. Let me know if you need anything extra. Cheers!
@kedarjoshi8962
@kedarjoshi8962 10 месяцев назад
hey schaly if i watch ur complete ml a-z playlist would that be well enough to get me well versed with ml
@alexandramarcos7474
@alexandramarcos7474 11 месяцев назад
great video! 😀
@HistifyMedia
@HistifyMedia 11 месяцев назад
Nice.
@praveenfernandopulle6586
@praveenfernandopulle6586 Год назад
Great Video mate, keep up the good work👌
@user-ji7py9jj6c
@user-ji7py9jj6c Год назад
Wonderful work, thanks for providing
@pauls.6686
@pauls.6686 Год назад
Thanks for the informative video!
@thelegendhindi6804
@thelegendhindi6804 Год назад
I dont understand such immensely valuable information and no one is interested
@user-bl1wg2qn7g
@user-bl1wg2qn7g Год назад
Great ❤ I appreciate good courses
@AI_BotBuilder
@AI_BotBuilder Год назад
Amazing! You deserve a lot more followers, leaving like and comment for the algorithm. Probability the youtube algorithm would promote your video more if you speed it up a bit before uploading next time
@mateushabermann4400
@mateushabermann4400 Год назад
Thanks
@mateushabermann4400
@mateushabermann4400 Год назад
Can I have access to the script? Thanks! Nice job!
@sanelegabuza1120
@sanelegabuza1120 Год назад
You used the unstandardized training data to build the model
@schaly2991
@schaly2991 Год назад
I belive that could have happened yes ^^. If so, that's a mistake. If I standardized it, I should have used it for training indeed.
@Shukla__ji
@Shukla__ji Год назад
Thnks for sharing this video. Lot of useful informations related to text cleaning.
@antonietakuz8369
@antonietakuz8369 Год назад
Hola @Schaly gracias por los videos, queria saber si tenes el video de Logistic Regresion Coding Along
@shi6676
@shi6676 Год назад
bro can't you explain it better than this? its so frustrating
@schaly2991
@schaly2991 Год назад
Hey there. Sure I could! But this was not supposed to be good, it was just so that I could remember it better. A definitely much better explanation can be found in the course that I used to learn it
@shi6676
@shi6676 Год назад
@@schaly2991 sorry for the impulsive comment your video was the only one with similar code on yt and still I wasn't able to understand it and I was frustrated cuz of my practicals so that was my part. Btw great learning method I also use the same method by teaching my peers
@shi6676
@shi6676 Год назад
@@schaly2991and do let me know about the course
@schaly2991
@schaly2991 Год назад
Sure, no worries. In the video description you can find a link that has some links, including the course link, which is this one: www.udemy.com/course/machinelearning/ Good luck!
@antonietakuz8369
@antonietakuz8369 Год назад
Excelente video!!
@markocska94
@markocska94 Год назад
I linked your video to the Udemy lesson, in case others get lost in the original lesson like I did. Thank you so much for the clear explanation!
@aadhilpaul
@aadhilpaul Год назад
Thank you so much
@svcc7773
@svcc7773 Год назад
Good 👍
@tigabumunaye9778
@tigabumunaye9778 Год назад
thanks.
@excelezeh8275
@excelezeh8275 Год назад
I'm from the same course It was quite complicated coming from them as well
@yasirjam1
@yasirjam1 Год назад
explained really well
@TiaHarris-gx1su
@TiaHarris-gx1su Год назад
the screen keeps going green on the video so you dont see whats happening
@arunsharma1712
@arunsharma1712 Год назад
Hi, how to find R^2 for Support Vector Regression in R?
@rafaanimir8820
@rafaanimir8820 Год назад
Great Video ! Thanks !
@esraalpcoskun5936
@esraalpcoskun5936 Год назад
When I try to use my TF-IDF vectors as input for SVM in the form of a data frame, I get an error "dataset not found". I don't know how can I get rid of it. I tried to define it as a dataset but it didnot work either. Could you help me with this?
@schaly2991
@schaly2991 Год назад
Hello there Esra! I work only with Python nowadays instead of R. But my guess is that you may not have the .csv file in your current directory. If that's the case, you must download the dataset and put it in your current directory. The .csv dataset can be found and downloaded in the link in the video description. I hope it helps!
@schaly2991
@schaly2991 Год назад
By the way, the .csv dataset that I'm referring to is called Social_Network_Ads.csv
@esraalpcoskun5936
@esraalpcoskun5936 Год назад
@@schaly2991 My Bad :) I was talking about my own data. Line 7 gives error when I try to replicate the code with my TF-IDF vector which I previously calculated.
@schaly2991
@schaly2991 Год назад
I'd have to Google it then, which is probably what you've already done with no success. So, sorry mate, I don't think I can help. Good luck to you though!
@esraalpcoskun5936
@esraalpcoskun5936 Год назад
@@schaly2991 Still Thank you :) Good luck to you too.!
@tansutazegul8297
@tansutazegul8297 Год назад
Excellent tutorial mate!
@Nadia-db6nb
@Nadia-db6nb Год назад
Hi sir. Your video is very helpful. Do you mind to share on your next video about feature selection using information gain in python?
@schaly2991
@schaly2991 Год назад
Hey there. I made these videos about 2 to 3 years ago, so I don't remember much about them. And I also shared all of them. So maybe try finding what you want in one of my videos, the title may be a hint. In case you don't find, it's probably because I don't have a video about it
@RishabhKaushikbiogenesis
@RishabhKaushikbiogenesis Год назад
Excellent video.. Keep it Up.. Dr. Rishabh from UK
@jaquelinetiecher4113
@jaquelinetiecher4113 Год назад
Muito legal 😎
@TheGoldenFluzzleBuff
@TheGoldenFluzzleBuff Год назад
Nice video, but I can’t trust anyone who uses the base IDE shell