I am from India and I am learning MACHINE LEARNING in Engineering. Your videos are really just awesome and very clearly explained with suitable examples. keep it up.
Josh, you are my stats tutor G.O.A.T. I love you, your team, your videos, and your songs. Thanks for paying the price of digging deep into the intuition behind these concepts and providing it to us on a silver platter. I hope you are continually filled with happiness for the impact you are making in our lives. Thanks a lot.
I'm a student in a lab doing bioinformatics. Your videos are excellent,sweet and cute~ I love the songs you singing at every beginning. Thank you so much！！！❤
Helpful Information!! Thank you!! A simple approach to choose the width depending upon the size of the data... Find Range Range= Highest Value - Lowest Value Find Number Classes (K) Apply Sturge's Rule = 1+3.322(LogN) Where N is the Number of Observations in the data Finally find the Width of the class Width=Range/K(Number of Classes) *Approximate K before finding Width *Keep Width of the class to the nearest multiple of 5 (Suppose you get width as 6 make it 10)
I had subscribed this channel before and I haven't seen anything until I accidentally played one video which Started with Stat Quest makes me so happy. And I was like he is singing and then I started playing your videos to listen to your songs. Then I decided to watch this video. And From tomorrow onwards I will going to start this playlist. These are great. Thank you for making these.
Josh, I can't thank you enough. Your contents are awesome. Some day when I imigrate from this sanctioned country, I will definitely support you via buying your shirts and other stuff.
Omg. No one has taught me such a basic concept like histogram the way you have. aahh love this channel. I'm learning machine learning and i decided to go back to basics before going to advanced machine learning algorithms like xgboost
I am from Pune, India and I just realized I came to North Carolina because of StatQuest ! I recently graduated from UNC Charlotte with a MS CS degree !
please make a course on probability and statistics...for deep learning which includes concepts like -confidence interval in all the different scenarios - hypothesis testing in different scenarios - ANOVA(one and two way) - chi-square and Pearson correlation coefficient. - co-variance & pooled covariance - wilcoxon test - tukey test - spearman test - covariance matrix and PCA. And how they are related??
Josh I hope you read this. No need to reply. First, thanks for the effort you have put on these videos. You create positive change in the world. Second, have you thought about designing a self-paced course around all the material you have created? Keep it up and thanks again.
Hi Josh, I just love your videos. They are highly informative. I really appreciate the work you are doing. I am learning a lot from your videos. Thank you very much.
We can use the Freedman-Diaconis rule to calculate the optimal bin width as, bin width = 2*IQR/cube_root(n). IQR is the interquartile range and n is the number of values.
Amazing videos, completely redifined stats. So easy and melancholy, I m learning ML from it. Definately, the contents worth of ivy league grad school fees
Sir beautiful videos .... Love your efforts thank you so much... Mathematics is very difficult to understand beacause people don't know significance of each and every thing .... I love your teaching... Thank you so much sir... Keep smiling ... Keep singing 😆😍😄😃
Thank you for your videos, they are really helpful. If possible plz make videos on Neyman-Pearson lemma, Fischer Theoreme, Kolmogorov test, also some distribution as Student, Fischer, Erlang, Xi etc
Hey Joshua, Talking to the histogram, it would be very helpful if you show us how to transform the data (residuals) when the variable it is not normal, and maybe do an example in R with Box Box.
Hey Josh, thanks for the videos. Do we have videos explaining Bayes rule, posterior and prior probability concepts ? I could not find them in your playlists. Many thanks !!
Heyy Josh loving your content......it is simple and very easy to understand...... I have a small concern: Can you please help me by suggesting the order or in what sequence to watch the playlist for better understanding of the fundamentals of statistics from your "Statistics fundamentals" playlist It would be a great deal for me if you can help me out...
Sir your videos are amazing, and how in a short time period you've explained the topics is just unbelivable. I had one request, your previous playlist of statistics seemed more helpful, I see you've made changes before 3days. It would be very helpful if you provide the previous one. Few videos also seem to be missing so
Hey Josh, do these videos have basics of probabilities, random variables and expectations ? I am not able to understand what is expected value and what is average value of a Random Variable. Besides, there is also some concept called "moments" which I am unaware of. It would be really grateful if you can guide me around this. Many thanks !!
@@statquest Thank you Josh. I really like investing time in your videos simply because of it's simplicity and lucid explanation. Looking forward to your next set of videos. Cheers !!
Hello, I will be taking statistics this summer semester coming up. Is this the right playlist to start learning the basics of statistics? I'm not strong in math so I would really need the head start.
Thank you for all the videos. If I want to specialize in machine learning, what's the order I should follow in your playlist? Is it enough to watch just the ML playlist? Are you planning on Calculus essential playlist?
The essence of business statistics, at around 1:50 => You don't take statistics to help make your decisions; you select from statistics to justify the decisions you felt like making. "Duh," as Josh so wisely says.
Would you please also cover some algorithms / math used to define bin width? Like some use freedman-diaconis rule or scott's normal reference rule etc.
Hello Sir For continuous numerical data we have two levels of scale ratio and interval based on presence of true zero or not However for discrete numerical data I am not finding any answer in books what levels of measurement to consider. Could you please advise on my query as I am struggling from many days to find an answer to this question. 🙏 Thank you❤
Hi Josh, Thank you for the excellent videos. I am in HR and currently studying to enter into Machine Learning. It will be difficult for sure, but I am ready for that. I have seen almost all your videos. Can you advise me with the books for extra guidance on how to start? I am learning Python too.
Thanks for the video Josh. One question, why would one do exponential distribution for histogram data more pouplated on the left? As you mentioned in this video
I am just curious if there is a book including this playlist (66DaysofData). I know you published the book "The StatQuest Illustrated Guide to Machine Learning", does this include the things in this playlist? Thanks for your videos!
Thanks for your quick response@@statquest. Does this 'Fundamental concepts in Machine Learning and Statistics' chapter include the statistics part that you introduced within this playlist. I have already seen the content of your book. However, I do not know if it is including this playlist. I normally take notes on papers, but I just want to have a break (my finger nowadays pains) and try following lectures on the book :). I see your book includes the machine learning part, but I cannot see what you have in the statistics part. Anyway, I will most probably order your book, as it looks really good! Thanks for everything you do on there!
Support StatQuest by buying my book The StatQuest Illustrated Guide to Machine Learning or a Study Guide or Merch!!! statquest.org/statquest-store/
Happy Teachers day
@@AbdullahOlcay-wh4or The chapters and topics in the book are listed here: statquest.org/statquest-store/
This channel is definately worth at least $10000 (one year school)
Wow! Thank you! :)
@@statquest Honestly, he's not wrong - I'm paying nearly 20k USD for my MSC and I learn more from your videos than the lectures
@@KamiK4ze It would be nice if we can subscribe and join the membership of his channel to support our claim for his praise.
4 years of school where I come from 💀
Those songs are alone worth millions.
I am from India and I am learning MACHINE LEARNING in Engineering. Your videos are really just awesome and very clearly explained with suitable examples. keep it up.
Thank you and hello to India! :)
@@statquest Hiiiiiiiiiiiiiii!!! I'm Indian too!! Just started watching this series. I like how you sing :)
Josh, you are my stats tutor G.O.A.T. I love you, your team, your videos, and your songs. Thanks for paying the price of digging deep into the intuition behind these concepts and providing it to us on a silver platter. I hope you are continually filled with happiness for the impact you are making in our lives. Thanks a lot.
Thank you very much!!! I really appreciate it. :)
I second this comment. Thank you from the bottom of my heart, from my family to yours.
Thanks!
WOW! Thank you so much for supporting StatQuest! BAM! :)
Man, I just wanna say that you are a gem. You make the complicated stuff very easy to understand.
Thank you!
Thanks
Wow! Thank you so much for your support! BAM! :)
Holy smokes...that bam gave me the chills!!! This gotta be the simplest holiest explanation of a histogram!!
bam! :)
I'm a student in a lab doing bioinformatics. Your videos are excellent,sweet and cute~ I love the songs you singing at every beginning. Thank you so much！！！❤
love the song too! very cute
中国人顶一个 这个youtuber做的真的很6
好用啊！
顶+1
Holy Moly, so much simplified, I hate youtube to not show this first when I was searching about "histograms"!!!
:)
Helpful Information!!
Thank you!!
A simple approach to choose the width depending upon the size of the data...
Find Range
Range= Highest Value - Lowest Value
Find Number Classes (K)
Apply Sturge's Rule = 1+3.322(LogN)
Where N is the Number of Observations in the data
Finally find the Width of the class
Width=Range/K(Number of Classes)
*Approximate K before finding Width
*Keep Width of the class to the nearest multiple of 5 (Suppose you get width as 6 make it 10)
Nice!
I had subscribed this channel before and I haven't seen anything until I accidentally played one video which Started with Stat Quest makes me so happy. And I was like he is singing and then I started playing your videos to listen to your songs. Then I decided to watch this video. And From tomorrow onwards I will going to start this playlist. These are great. Thank you for making these.
Yes, this is one of my favorites. :)
@@statquest ❤❤❤
Damn, if I had known your channel sooner, I wouldn't have hated statistics! Keep up the good work!
Thank you very much!
I felt in love with stats after watching this
bam! :)
Josh, I can't thank you enough. Your contents are awesome. Some day when I imigrate from this sanctioned country, I will definitely support you via buying your shirts and other stuff.
Thank you very much! :)
Greeting dear Amir. We clearly share the same purpose, and we clearly share the same reason.
I hope someday I see you out of this hell hole
@@amirkhalesi5294 Goodluck to both of you Amirs!
You sir are a hero for making these videos!!! Why can't university professors teach as well as you?
Thanks so much!
Wow, thanks!
Omg. No one has taught me such a basic concept like histogram the way you have. aahh love this channel. I'm learning machine learning and i decided to go back to basics before going to advanced machine learning algorithms like xgboost
Awesome!!! I'm glad you are learning so much. :)
Just found your channel a few minutes ago and boy am I already questing on and on. Thank you for the amazing lessons!
Bam! :)
@@statquest Bam! :D
Hi there
Excellent
Please please don't stop, go on!
I wanna learn statistics through this channel completely
Thank you very much! :)
taking a data science course at Berkeley and your videos are so helpful, thank you!!
Great to hear!
I am from Pune, India and I just realized I came to North Carolina because of StatQuest ! I recently graduated from UNC Charlotte with a MS CS degree !
TRIPLE BAM! Congratulations!!! :)
I learn something useful free from you, thx so much. I love free and I love learning from you.😁😁😁
BAM! :)
took monthly membership ...... and it is totally worth it... you deserve it
Awesome!!! Thank you so much!!!! :)
Literally, "Bam". Awesome material, ty.
Glad you enjoyed it!
you are my hero! helped me with saving my degree!
You can do it! :)
Thank you Josh! i had such a good laugh while learning stats. your videos are bite sized and easy to understand. kudos for being a great teacher
Glad you like them!
I loved the video
The music is amazing
The content is easy to understand
bam!
As usual simple and clear Josh :)
Hooray! :)
please make a course on probability and statistics...for deep learning which includes concepts like
-confidence interval in all the different scenarios
- hypothesis testing in different scenarios
- ANOVA(one and two way)
- chi-square and Pearson correlation coefficient.
- co-variance & pooled covariance
- wilcoxon test
- tukey test
- spearman test
- covariance matrix and PCA. And how they are related??
Josh I hope you read this. No need to reply. First, thanks for the effort you have put on these videos. You create positive change in the world.
Second, have you thought about designing a self-paced course around all the material you have created? Keep it up and thanks again.
Thanks and yes, I have. One day I will create the course.
OMG you make stats so easy to understand! Thank youuuu!!
Happy to help!
Downloaded and starting to watch this playlist! Bam my friend
Enjoy!
Clearly explained, as always. Thanks a lot
Thanks!
Josh, you should also add the information that histogram distribution can change if you change the position of the first bin.
Noted
Love this one too Josh thank you yes I'll comment on every video I watch
BAM! :)
30 seconds of explanation, bam! 4 college years of confusion over histograms exploded! sorcery!!!
bam! :)
Great Lesson, Thanks Mr.Josh
Hooray!
Hi Josh,
I just love your videos. They are highly informative. I really appreciate the work you are doing. I am learning a lot from your videos. Thank you very much.
Lemme tell you all, this guy is a genius!! He even sings awesome !! {Evil Genius} A good song yo. Loved it.
Hooray!!!! :)
We can use the Freedman-Diaconis rule to calculate the optimal bin width as, bin width = 2*IQR/cube_root(n). IQR is the interquartile range and n is the number of values.
bam!
Amazing videos, completely redifined stats. So easy and melancholy, I m learning ML from it. Definately, the contents worth of ivy league grad school fees
Glad it was helpful!
Sincerely thank you for your videos
Thank you!
Hats off ! You explained the things in amazing way which is far away from book worms definition
Thank you very much! :)
Wow.. Thanks!! I am grateful for your explanation..
Thanks!
It's so easy and musical explanation 😊😍
bam!
You guys are awesome! Bam! Please keep em coming. Wham!!!
We will!
Sooo helpful and very easy to learn these topics i have statics subject i learn about histogram very easy and very useful for me
BAM!
I rarely comment but this channel is awesome
Thank you!
Buddy yo are master of Stats salute..🙂
Thanks!
2:55
Sure, but there are other, easier ways to get that information.
You are the saviour❤️
Thanks!
Beautiful Song, Thank you, Sir
Thanks!
Thank you so much for this video! Short, sweet, and btw easy to understand.
Thanks!
Our statistics teacher spent the better part of a 3-hour class trying to explain what you explained in 3 and a half minutes.
Sir beautiful videos .... Love your efforts thank you so much... Mathematics is very difficult to understand beacause people don't know significance of each and every thing .... I love your teaching... Thank you so much sir... Keep smiling ... Keep singing 😆😍😄😃
Thanks! :)
Wow something so simple so rarely properly explained!
Thanks! :)
Thank you for your videos, they are really helpful. If possible plz make videos on Neyman-Pearson lemma, Fischer Theoreme, Kolmogorov test, also some distribution as Student, Fischer, Erlang, Xi etc
I'll keep those topics in mind.
Ok, i'm in love! you also play UKULELE!
It's one of my favorite instruments. :)
Hey Joshua, Talking to the histogram, it would be very helpful if you show us how to transform the data (residuals) when the variable it is not normal, and maybe do an example in R with Box Box.
Thank you I love stat now
BAM! :)
thanks for your videos!!!!! Very helpful to start statistic understanding 🥰
Thanks!
So clear, so nice, so helpful!
Hooray! :)
Hey Josh, thanks for the videos. Do we have videos explaining Bayes rule, posterior and prior probability concepts ? I could not find them in your playlists. Many thanks !!
Amazing videos and excellent content, you are doing a great job sir, all the best for your channel and life
Thanks a ton!
When you said ''bam", I did BAM on your like button
Hooray! :)
BAM!! Very intuitively explained!
Excellent!
:)
the "bam!" and "duh" was completely unnecesary, besides that this is one of the best explanation, thanks
I like bams
Heyy Josh loving your content......it is simple and very easy to understand......
I have a small concern: Can you please help me by suggesting the order or in what sequence to watch the playlist for better understanding of the fundamentals of statistics from your "Statistics fundamentals" playlist
It would be a great deal for me if you can help me out...
I've got all of my videos organized here: statquest.org/video-index/
Realy excelent your explainsss!!!! congratssss
Thanks! :)
Sir your videos are amazing, and how in a short time period you've explained the topics is just unbelivable. I had one request, your previous playlist of statistics seemed more helpful, I see you've made changes before 3days. It would be very helpful if you provide the previous one. Few videos also seem to be missing so
I'll see what I can do.
@@statquest Thank you for considering the request sir.
2:52 For the measurement to spread 50-50 while making bins = 2, doesn't the distribution need to be a perfectly normal distribution?
No, it could be a uniform distribution. Or A beta distribution. etc.
@@statquest Thank you... Keep making such wonderful videos
Thank you...just subbed
Awesome, thank you!
Great vid as always! If I may make a request, can you do a video on multinomial logistic regressions next time?
Hey Josh, do these videos have basics of probabilities, random variables and expectations ? I am not able to understand what is expected value and what is average value of a Random Variable. Besides, there is also some concept called "moments" which I am unaware of. It would be really grateful if you can guide me around this. Many thanks !!
Those are all great ideas, and as soon as I finish up this section on Machine Learning, I'll dive into those topics. I love them all.
@@statquest Thank you Josh. I really like investing time in your videos simply because of it's simplicity and lucid explanation. Looking forward to your next set of videos. Cheers !!
awesome tutorial - thank you!
Hello, I will be taking statistics this summer semester coming up. Is this the right playlist to start learning the basics of statistics? I'm not strong in math so I would really need the head start.
It's a good place to start.
@ thank you for the reply I will start watching these
U r great.. nice and clear explanation in all videos.. Please do more videos regarding statistics and Statistics in R
Thanks !:)
Thank you for all the videos. If I want to specialize in machine learning, what's the order I should follow in your playlist? Is it enough to watch just the ML playlist? Are you planning on Calculus essential playlist?
I would recommend watching all of my videos, except the ones on high-throughput sequencing, in this order: statquest.org/video-index/
The essence of business statistics, at around 1:50 => You don't take statistics to help make your decisions; you select from statistics to justify the decisions you felt like making.
"Duh," as Josh so wisely says.
That bam really got me
:)
Fantastic and easy explanation. May I know order from start to end of your playlist
statquest.org/video-index/
Would you please also cover some algorithms / math used to define bin width? Like some use freedman-diaconis rule or scott's normal reference rule etc.
I'll keep that in mind. However, the most commonly used technique is to just try a handful of values.
You are wonderful, thanks.
Thank you! :)
Thank you for your amazing lectures professor. Could you please update the lectures in the stats playlist ?
I just checked the Statistics Fundamentals playlist and it looked good to me. Can you tell me what the problem is?
Thank you! thank you very very very much!
BAM! :)
Is your book suitable for beginners who only know IG level mathematics? And does it cover alot of topics in ML?
Yes and yes
You're great 😌 ty
Thanks! :)
@@statquest most welcome 🌹
How to decide which probability distribution to use for a given histogram. Is it the best fit curve or anything else?
Often we know what process generates the data, and that process tells us what distribution to use.
love your songs !
Thank you! :)
Hello Sir
For continuous numerical data we have two levels of scale ratio and interval based on presence of true zero or not
However for discrete numerical data I am not finding any answer in books what levels of measurement to consider.
Could you please advise on my query as I am struggling from many days to find an answer to this question.
🙏 Thank you❤
Thank you
:)
Hi Josh, Thank you for the excellent videos. I am in HR and currently studying to enter into Machine Learning. It will be difficult for sure, but I am ready for that. I have seen almost all your videos. Can you advise me with the books for extra guidance on how to start? I am learning Python too.
My favorite book is this: faculty.marshall.usc.edu/gareth-james/ISL/
@@statquest Thank you! :)
thank you so much!!!!!!!!!!!!!!
Thanks!
Thanks for the video Josh. One question, why would one do exponential distribution for histogram data more pouplated on the left? As you mentioned in this video
When we want to model waiting times - like how long between times when people watch this video - we might use an exponential distribution.
The highlight: This my friends, is a histogram. Bam!
:)
Thanks ! How about the multiple regression analysis in details.....
Awesome playlist! Subbed! Do you have a playlist for linear algebra and vector calculus needed for AI ?
Thanks! I just have this one video on linear algebra for AI: ua-cam.com/video/ZTt9gsGcdDo/v-deo.html
I am just curious if there is a book including this playlist (66DaysofData). I know you published the book "The StatQuest Illustrated Guide to Machine Learning", does this include the things in this playlist?
Thanks for your videos!
You can see what topics are covered in the book here: statquest.org/statquest-store/
Thanks for your quick response@@statquest. Does this 'Fundamental concepts in Machine Learning and Statistics' chapter include the statistics part that you introduced within this playlist. I have already seen the content of your book. However, I do not know if it is including this playlist. I normally take notes on papers, but I just want to have a break (my finger nowadays pains) and try following lectures on the book :). I see your book includes the machine learning part, but I cannot see what you have in the statistics part. Anyway, I will most probably order your book, as it looks really good!
Thanks for everything you do on there!
@@AbdullahOlcay-wh4or The book covers a lot of the statistics topics in the playlist, but not all.
Amazing, thank you.
Thanks! :)