Видео

awesome vid

Mark, you should start using `for` loop instead of writing each line with `print()`. For example, try this code: --- for col in df.columns: print(f"{col}={df[col].nunique()}") --- and you will get the same output in just two lines.

thank you very much

I appreciate your breakdown of even the slightest things in the code, even tho I already know how those things function. It puts a smile on my face. I know someone else would appreciate that, especially beginners in Python but not in EDA.

Hello Sir, I have a question that in case of high skew value why we just take log for right skewed and vice versa for other case of skew as well ? Does this method will help rather than just adding the extra column in data frame

Hey Brother i really need that ..... I have one request please sum up these video as the part of a playlist

Hi,do you guide for creating this database in access

Please add the notebook so that it will save people who are in need and don't have enough time to complete project

Thank you Mark for these wonderful videos. Will this playlist continue? If the answer is yes, how long will it take to complete and how many videos will there be?

its nice man keep it up

tysm <3

Why do you use ANOVA and the r coefficient to calculate association of education and bike purchasing? Isn't ANOVA only used for categorical to continuous relationships and the r coefficient used for continuous to continuous relationships? Wouldn't the chi-square test be a much better fit?

This video series has been super helpful!!! would recommend

The Burrito exercise is something.

Wow your YT is a treasure trove I wish I had found sooner. But glad I did now

Mark, how can we auto upload data via python?

Is there a way without publishing to Tableau Public? Private data, I want to embed it into a web page that requires login to access.

I really loved your videos and my understanding for Python has also increased. Thankyou ☺

Hi Mark, thanks for the video and the playlist. I don't know, if you tell it after 18:25, but it is a lot easier to use a for - loop instead of copy and paste the code in each cell. What i made is in example: for i in df.columns: print(f'{i}: {df[i].dtype}')

Hi, when i'm running ordinal regression as the way u did, it has an error 'Memory exhausted'. Also do you know how to run xgboost on Azure ML? I can run XBG on gg colab but dont know how to apply into Azure. Pls help me i need to finish this to graduate (I learn IB and know nothing about coding sos)

1970.1.1 - first date in Linux

Thx very much i was not understanding li tag and tomorow i had exam i learnt it and scored. 49/50

Thank you so much! You made it so easy to calculate VIF.

What you are doing here is so nice. However, I wonder if you could also show us how to run a rolling regression while holding the window size constant in time series regressions. Obviously, the expected outputs are all regression coefficients (with intercept with and without), t-values, R^2, STYEX, etc. I don't know why. But not many people seem interested in showing this Rolling Regression algorithm. I hope you will take the time and help us. BTW, your presentation is so understandable. Thanks in advance.

How do you get suggestive code? If I type df. It doesn't suggest the next thing like yours does.

36:39 shade is depreciated. use fill=True instead

Hey I have some blocker how to implement code to save custom view using tableau JS API

😻 P R O M O S M

time for an update! This does not line up with MyEducator anymore.

How do you deal with negative numbers, with the natural log?

love to learn this video, would you like to share its google colab?

I bought your course Intro to Data Analytics with python. Worth every penny!

I was doing a course on Udemy, had a doubt about standardization, and found your video in which you've used the exact same dataset!

thank this video has been helpful for me

I love your videos man, your changing my life😊

Thanksss!!

being waiting for your contents for a long time, finally here we go💥

Awesome content, thank you for this! What's the website that you use?

Thank you bro it is so much helpful but I have question I do not understand the univariant in this data set we have numerical and categorical it is not seems ! thank you again from Saudi Arabia

I think I missed the chi-square video - cat/cat feature selection

Does this work the same way with a numerical feature and a categorical label?

i need subtitle in pt br :(

Will the natural log always result in the closest to 0 skew? That's super cool!

great content! can you also talk about how to interpret these results? what can we do with all the concepts you discussed

tHANKS A Lot

thanks my dude

Best Tutorials Out there in the whole world wide Web

perfetto

You saved the day!! No developers were around but I found you and learned how to utilize the aggregate count function. I am sure there is more to this but this help me get my report ready for review . Thanks so much!

wow! awesome er diagram. what's the name of the app you use to draw the er diagram?