Data Science - Part III - EDA & Model Selection

[@hunhwasong8800]

Hello Derek. I am a data analyst in a software company in S.Korea. I literally don't know how to thank you uploading these invaluable videos. I am teaching myself how to do data analysis step by step.

[@DerekKaneDataScience]

+hunhwa song Thank you so much for such kind words. I am glad that you are finding some value in these videos and I hope that this can be a building block for you to continue to build and grow off of. Carpe Diem!!!

[@MadhuKumarKilli]

Hello Derek, First of all i would like to convey a very big THANKS for these wonderful videos. Your videos are so descriptive and so easy to understand that i am referring them for my pre-interview preparations. I haven't come across of any other KZbin videos which are so structured and provides a comprehensive explanation. I am so grateful for you for sharing these videos on KZbin. These are very helpful for the budding Data Scientists / Data Analysts like me.

[@upalchowdhury4303]

Best Data Science Lectures that one can use in real life i mean in job.

[@dbs5817]

Great stuff! These set of videos could have been the best had it not been for the audio! Thanks for sharing!

[@senthilramalingam9500]

Thanks for sharing it. It creates lot of insights on how to analyse data in step by step process with concrete methodology.

[@DerekKaneDataScience]

+Senthil Ramalingam Thanks for the kind words and I hope that you can find some use for this in your daily life. Carpe Diem!!!

[@suhardisjahrial3318]

Thank you...this is suitable for me who want to get an introduction of data science - without a strong background in statistics

[@DerekKaneDataScience]

+Suhardi Chia I'm glad that you are finding some value here. Keep with it and you are going to be up and running in no time... Good luck.

[@mariav1234]

Thank you for posting these lectures. They are great!

[@chadrob]

One little feedback. @29:30 where you explain about Location and Variability, you have explained Location as 'central value of your variable.' But Mode is not necessarily the central value, especially when variable has a lot of skew. I am sure you must know all this but it might have missed in the flow. Needless to say, this series of videos is greatly structured and very valuable even for person who knows a things or two about data analysis.

[@vinothvvkumar]

Thank you, it's an amazing video, very well structured and explained

[@researchdesk6850]

Thanks Derek, your series is really good

[@jeffwantf]

Hi Derek, thank you very much for these videos

[@lxk19901]

Thanks for uploading this!! it's really helpful. I'm wondering if it was possible that you could share some code which you used for visualizing. Those plots look really nice!!

[@zibusisoxjtshabalala1964]

God bless you Derek

[@MilitanT07]

Man I wish the audio quality was nice that I can watch at 2X. Increasing the volume makes the noise unbearable :|

[@karthick2254]

Nice Lectures! thanks!

[@aerospaceconstructor]

it would be great to get subtitles in english ))

[@DerekKaneDataScience]

+Александр Владимирович Thanks for the feedback and I appreciate that you took the time to watch the video. I am going to try and fix the audio and hopefully that will open up the ability to add good subtitles to the videos.

[@tomash9785]

Good video but I did not like being too short with PCA. There was no intuition behind loading coefficients explained. Also for transformation it would be nice to see step by step example but as an overview good enough

[@cassianrozario1628]

really good series especially R and R Studio may I have your personal email to discuss a project with you thanks in advance

[@sauravprakashgupta7512]

Too much noise in the video. Though I want to watch. I can't continue