Statistics 101: Logistic Regression, An Introduction

[@BrandonFoltz]

Latest video is live. Enjoy! Statistics 101: Logistic Regression, An Introduction.

[@alvarosjrodriguez]

Great explanations! I wonder if you are preparing any video about COX model. Thank you

[@ratanpsm]

Dear Brandon.....You are fantastic teacher, Made many lessons, Many faculty and students will benefit. You are challenging books and making youtube enjoyable. Thanks for making stat enjoyable and easy to understand. You are doing great job. Best wishes regards Prof. Ratan K. Srivastava IMS, BHU, Varanasi - India

[@AF-sh1fg]

This material was so useful for me. My professor talks a different language, I understand nothing in class. Thank you Brandon for taking the time to make this material available on youtube.

[@gerarddeboer8599]

Yeah same. My stats professors explain all these methods sooo weird that barely anyone knows what the lecture was about after class... we are basically obliged to watch series like these to actually understand how and when to use a particular method and how to do the calculations.

[@franciskm4144]

I am from India. I have been teachig economics for 40 years. Your presentations are highly useful even for me .Thank you.

[@yasirlateef8641]

I'm not a stats person, rather a computer guy getting into Artificial Intelligence. One thing I must say is 'You're Awesome, man!'. You just knocked every necessary details about understanding Logistic Regression! Really great stuff!

[@SiaarZH]

Yasir Lateef Same here. AI. But I did sign up for Statistics for Data Science which was recommended for ML and DL.

[@Abusteif1]

This exactly describes my current situation :D

[@arpanghimire8102]

haha..same here

[@whoisbhauji]

Why this video seems to work for AI/DL stuff is because he goes backwards. To learn/train, we need to start from the output and get at the model. Other videos go forward from data to output. I predict this is 70% accurate :)

[@solomongrundy2211]

r/humblebrag

[@ActSciBlink]

Your videos are great! As a blind student they're really easy to follow without being able to read the screen. I appreciate how thorough and descriptive you are. Keep up the good work and thank you for helping me to regain confidence with math and statistics!

[@renee_chu]

Thanks! This helped so much! My lecturer doesn't know what she's talking about and 99% of us are confused! Saved my life!

[@renee_chu]

Shared this with my peers too!

[@JK-fp1pn]

You are the best person for STATS! I am loving Statistics because of your clear straightforward explanations and examples! The BEST!

[@sureshm430]

THANKS is not enough.. i should say more than that, I started my day with logistic regression, planned to complete in 2 to 3 hours.. i had gone through lot of stuff which lead to confusion between logit and sigmoid function..... felt bad and sad, that i couldn't make it, then your stuff came, it is SAVIOUR.. You explained very clearly, detailed every thing in simpler manner. I ended my day with SMILE with your stuff.. APPRECIATE.. APPRECIATE.. APPRECIATE... Expecting stuff on Machine Learning Algorithms too.

[@fisayoadeniyan8713]

Brandon, you are the best teacher. No exaggeration. You make the lesson so simple to understand. Thanks so much for your amazing contribution to understanding of various statistical techniques.

[@technicalnaqib9450]

TichnecalNaqib

[@dhammikax]

Great simplistic explanations Brandon. Just the type of teaching needed in today's short attention-span adult learning environments. Cheers.

[@coJetty]

This is so thoroughly thought through. I am very impressed and thankful!

[@indianarchangel]

thoroughly thought through! try saying that a 100 times :D But seriously, the tutorial is so good.

[@AdoradorStarcraft2]

Giving a thumbs up because you can speak English properly, that is a highly valuable skill in the academic youtubes

[@m.ssharma535]

Brilliant. Stats Professor at Michigan (Ross School) explained it very well too when I took the course and modeled in SPSS

[@ravindrababualuru6076]

Anyone can learn easily Statistics from your Videos. Thank you for the video sessions.

[@devsharma1660]

this is the best video found on internet for learning logistic regression

[@BrandonFoltz]

Thank you so much. :) I am glad you find the videos helpful! Keep on learning!

[@TheKriptus]

Brandon! Thank you so much for your lessons, you have no idea how helpful they are and they way you explain everything is just so natural to understand and really internalize. I'll end with the simple saying: Not all heroes ware capes, thank you!

[@vishnupriya1985]

Your video series on Linear,multiple ,logistic regressions is really great Brandon!Helps me a lot in learning Big data analytics.Highly appreciate if you could make a video on cluster analysis.

[@SHIVTOSH1]

I was trying to learn logistic Regression but was not able to find good study material. Your's way of explanation was awesome and you made logistic regression look like a easy one....Thanks

[@juangonzalez6205]

SHIVTOSH1

[@Aishwaryasaid]

I miss your early intro from old videos. You are so good. loads of love to you

[@nityananddeva7724]

I am Preparing a research proposal for the purpose of seeking admission into Phd in management. Your video was very helpful. Thank you.

[@emilielvendorf7447]

I have to be honest! This is SUCH an amazing and simple way to learn!! THANKS ALOT!

[@praveeniyer7]

This is the best video on logistic regression. I really enjoyed it.

[@sarkermohammedalam2471]

excellent elaboration and description and very much useful for the student like me who always avoid statistical descriptions.

[@pragyajackson]

I love your videos, Thanks for taking such effort to explain stats in the best way possible.

[@kikkykaku]

This is absolutely great!! loved how the differences between different regressions are explained!!

[@lidiyaivannikova5464]

Just wanted to thank you so much for all these videos! You helped me get a full score on the final!! :)

[@AnonymousSam]

Awesome, I love how you explain things, its so hard to find material out there that explains logistic regressions clearly.

[@yonatandahan3570]

It is clear that under 500 FICO score, the probabilities of geting an approve are zero. therefor this data should be eliminated from the data pool. I know this is an exemple, but things like that should be mentioned and referred. As the goal is to obtain a better review of the reality. other than that, I learned the hole course from you, what they fail to teach me in engineering school. your method is clear and direct. thanks a lot!!

[@subramanianchenniappan4059]

All your playlists on stats are great. Thanks. I am a java developer trying to learn stats for datascience and machine learning

[@kiddykaf3037]

you are a stats genius. will definitely fund you. thanks ever sooooo much Mr Foltz

[@juankou9243]

Best tutorial across the internet! Good Job!

[@ShalabhBhatnagar-vn4he]

As always Mr. Genius = Mr. Foltz

[@AndreDidriksen]

That's actually super helpful, wish my predictive analysis course were more like your videos

[@brycejohnson9627]

Thank you so much for this video! I'm loving all the videos you have! One thing that could maybe make it better is having access to the datasets used in the videos so that we can follow along on our own software (R, Stata, SAS, etc) and compare how our outputs look and so we know what we're seeing on our output by comparing it to the ones in the videos. Once again, thank you so much for the time and effort you put into these videos!

[@BrandonFoltz]

Working on it! I do have many downloads on my website: www.bcfoltz.com/blog I may have missed this one.

[@princemathew9034]

Brandon, You are an awesome teacher. You reduced my stress learning statistics & probability for ML. I would want to support you Brandon. Please can you make videos on Naive Bayes, on KNN, Kmeans etc.

[@LULU47093]

Wonderful refresher before an important interview! Thank you.

[@BrandonFoltz]

Great! Best of luck!

[@LULU47093]

It went well. Thank you Brandon.

[@abdallamohamed2374]

simple & great explanations. Now i understand how to interpret dummy variables in multiple regression. Thanks a lot

[@samm7253]

Thank you so much for creating this channel. It is so helpful. I am studying epidemiology and your videos gives me a really good understanding of the subject. Keep it up and thanks again!!!

[@shawncook_flips]

I really hope you continue to make videos, these are invaluable. Thank you so much.

[@mamlakatnoonn]

very informative and systematic presenting the basic concepts

[@kailichen1460]

I learned logistic regression in class. Still, this video is very helpful and detailed in helping me understand the difference between logistic regression and other regression models!

[@yadhu66621]

Lucid explanation.. ! greatly helps for a solid foundation on the basics... Thanks Brandon !

[@crespoo0]

greatly explained! I'm so glad I found your channel!

[@xugefu]

Thanks!

[@BrandonFoltz]

Thank you so much! That gets me full of coffee ☕ and working hard. I appreciate it very much.

[@naveenkudupudi]

Sir, A big thank you for all your efforts.

[@saket_gaming4071]

This video was heplful and simple to undesrtand. Thankyou:)

[@brandiwatts756]

Really appreciate your videos, you are the best!

[@ahmedali-lm6vt]

I just start watching your videos I'm in a such need for my research . Thanks a lot

[@NeginMahmoudi]

Your content is great! Looking forward to more insightful videos from you. It would be amazing if you could cover ordinal regression in one of your future videos. Keep up the excellent work!

[@vickedness]

Hi Brandon, thank you for making this video, am new to LR and this kinda gave me a sense of what its about and will have to do more study to understand this better. Will refer to the videos post some more basic research about LR.

[@ignaciobadiola2850]

Thank you! Im taking a biostats class and although there are some differences the underlying concepts are very similar and you explanations and illustrations are very helpful.

[@oscardk5939]

Brandon... You Rock!!! Thanks a lot for this divine gift !!!! THANKS!!!!

[@arnovd7860]

Just posted your channel on the facebook group of my class, they will appreciate it i think :)

[@Hypotemused]

great new format. Good stuff Brandon

[@BrandonFoltz]

kary bheemaiah Thanks! Glad you like it. :) And thank you for watching I really appreciate it. All the best, B.

[@wsxzaqist]

Finally!!! I have been waiting for this topic forever. I would like to know if you any plans on making videos about Ridge,Lasso and PLS regression?

[@BrandonFoltz]

Praneeth Reddy Thanks! I doubt I would get to those in the immediate future, but I will add them to my ever-expanding list. :)

[@ProdTheRs]

Thank you very much for this clear and excelent overview of Logistic Regression. Subscribed and Liked. I will for sure share this. Thanks.

[@tolulopeobele9886]

You are very audible, good lecture.

[@SayantanSenBony]

Most anticipated video for me,thank you very much. If it is possible kindly add SAS result and explained little bit ...that's will grate.

[@vishaldhamal2431]

Hi Brandon.. Thanks for this video.. Appreciate it.. looking forward to more topics

[@islamabbas5718]

This is fantastic, many thanks for this great work.

[@keekuable]

LOVE LOVE LOVE YOUR VIDEOS🔥🔥

[@gregoryanderson3073]

Great job as always

[@yangle8952]

Great video and love your comparison with other models

[@kalimanx]

At 8:00 - great explanation on "Why not other regression methods".

[@ronnyonggo1315]

Thanks! This video is super helpful and easy to understand

[@arkarthanwin7842]

I am from Myanmar. You help me understand statistics a lot. I hope you do the explaination for Nested logit model and mixed logit model as well.

[@j-daymusic3319]

Great and informative. Thank you very much !

[@salkonify]

Clear and concise , well done :)

[@liamhoward2208]

Hello Brandon, I would really like to see a series on logarithmic regression that models growth.

[@aristoi]

Great, simple explanation.

[@JackIsNotInTheBox]

I don't think your data being normally distributed is a requirement for linear regression. Some users think (erroneously) that the normal distribution assumption of linear regression applies to their data. They might plot their response variable as a histogram and examine whether it differs from a normal distribution. Others assume that the explanatory variable must be normally-distributed. Neither is required. The normality assumption relates to the distributions of the residuals. This is assumed to be normally distributed, and the regression line is fitted to the data such that the mean of the residuals is zero.

[@NaveenKumar-ne8hd]

Thanks Brandon...Very useful

[@tamammohamad922]

I think you have addressed in this video all my questions. Cannot wait to watch others! Just Amazing! I am from linguistics and I wonder whether you can do some videos for Likert Scale questionnaire and how we can go about their analysis with some examples!

[@ericgitonga6127]

Thank you sir, This was very helpful...

[@치메라]

You are a great teacher

[@2003budisu]

nice, you make statistic more easy to understand... :)

[@odaialzrigat]

Hi Brendon, cheers for this content. I cant find the dataset on your website, though.

[@prudviprudvi]

Hi Brandon,thanks for these videos.They are helpful but if you can add an assignment in this videos and give answers in next videos,that would really help as it is one way listening.I feel,we can understand better that way.

[@chanhenry9623]

Thanks! Great video set for understanding statistics produced in professional quality! Support!

[@rahulshetty13]

Great work Brandon

[@kalyanasundaramsp8267]

no one can be like u sir

[@BrandonFoltz]

Kalyanasundaram SP you can 👊👊

[@nitinthokare]

This is one of the best series with simplicity in the concept presentation. Thank you for the same. Where can we get the dataset you have used and the ppt used if possible? I went through the website but could not find these things on the website.

[@mashiatamin6887]

Please make videos on Decision trees and random forests. Would be really grateful.

[@bhavikdudhrejiya2502]

Very nice to explain logistic Regression

[@katerinaboididou8601]

Thanks so much for this help once again!

[@mariamabdallah6960]

Loving this...Great

[@pingryv]

SImple and a very good explanation, thanks a lot!

[@kathrinehansen9573]

You are soooo good seriously

[@kennethabbott8248]

Very well-done.

[@harrywright6876]

Great video, thanks.

[@preeyank5]

Nice videos! Keep up the good work! God Bless!

[@monirzaman337]

In this video, at 7:48, you have told that "the credit score of 670 would end up in the approved category" but in reality, there should not be any concrete result except the high or low probability based on your previous discussion. I am confused about this part of the video. Please clarify if you think my claim is logical.

[@vininderbains4029]

I have loved your videos, and eagerly awaited your regression videos! Got me through my stats classes. Can you do some videos on sample size calculations for logistic and linear regression. Once you help everyone get a handle on stats, we get inspired to start applying for grants and conducting research -- and need to do sample size calculations...

[@justinpretorius722]

Hey Brandon, I appreciate your videos. They are simple and to the point. Do you think you could start stating the assumptions to these statistical methods in future videos? They are commonly overlooked. If not, no worries, thank you and keep up the great work. Also do you think you have time to go over negative binomial and poisson regressions?

[@malkythealky]

You absolute life saver.

[@brittanyla3187]

Thanks. This was a great video...actually beginning to understand this! :)

[@SaeedMNassar]

very stastical thank you very much you saved me although im not a statesticle you saved me i didnt wast my 1000 dollars i love you

[@omkarparishwad2138]

Could you please make further videos explaining the discrete choice models, contingency tables, maximum likelihood, Multi-nominal logit model, OLS for multiple regression, transformations of variables, model building methods and regression trees?

[@cleopatra8734]

You are great! How can I use multiple logistic regression?