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Amazing coverage of statistics. Please make a video over mathematics required in data science. I am very confused like what to cover and how much to cover in mathematics.
Mam I am new to learn data science what is the sequence of concept which I have to follow and is any prerequisite required before this Or if I randomly learning anything for this is good or bad ??? Please mam ????
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Hi ! Glad you liked it ! We are glad to have learners like you .Drop your mail id in the comment section for us to share the data sheets or source codes :) Do subscribe our channel and hit that bell icon to never miss an video from our channel .
Hi Ahmad, our references are collective and if you wish to use them for your practise. Kindly drop in your respective email id and we will share it to you. Cheers :)
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Hi Siddhant, we have considered your request and our team will definitely come up with an exclusive tutorial to guide you. Meanwhile, do subscribe to our channel and stay tuned. Cheers :)
We are very glad to hear that your a learning well with our contents 😊 continue to learn with us and don't forget to subscribe our channel so that you don't miss any updates !
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At around 7:58 minutes, you have said that Spam or not Spam is considered as Discrete or Categorical .. so does it not come under Nominal Data in Qualitative??
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A true positive is an outcome where the model correctly predicts the positive class. Similarly, a true negative is an outcome where the model correctly predicts the negative class. A false positive is an outcome where the model incorrectly predicts the positive class. And a false negative is an outcome where the model incorrectly predicts the negative class.
Hi, unfortunately we do not share the presentations used in our tutorial. On the bright side, here is a link: bit.ly/39ZZ7lh to help you. Happy learning :)
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Hi, we are working on your request. The video will be out soon. Here's a link to our Hindi channel: th-cam.com/channels/ywyZ4r4FTKExrPl9rf-ggw.html Do subscribe and stay tuned for future updates. Cheers!
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Data Science Training and Certification, Visit our Website: bit.ly/37q65Oc
So far the best source available on web to brush up stats concepts for Data Science.
Cheers to Edureka & Zulaikha.
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Great Explanation on the IG and Entropy part. Thanks for that!
This is Pure Gold
Thank You 😊 Glad you liked it!!
Amazing coverage of statistics.
Please make a video over mathematics required in data science. I am very confused like what to cover and how much to cover in mathematics.
Thanks for the compliment, Abhishek! We're glad you liked it. We shall forward your request to the content team.
Thank you so much for making video on complete probability , statistics in one video
You are most welcome 😊 Glad it was helpful!
It is humble request if you will share pdf of this video ?
You people have done a great, amazing work
Thanks
Excellent explanation, thank you for making such a video which explains the concepts so clearly
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Mam I am new to learn data science what is the sequence of concept which I have to follow and is any prerequisite required before this
Or if I randomly learning anything for this is good or bad ???
Please mam ????
thank you so much for sharing this video😇😇
Excellent explanation! Thank you.
Amazing Video! I really tried answering the question for Bayes Theorem but couldnt figure it out... Could you help me out please?
The way she is teaching 👌
Awesome, it clear my all doubt🤟
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explanation was very good, thank you
I had been trying to understand IG and entropy but never got such a simple explanation. Thanks very much Edureka team :)🙂🙂
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Your voice is really good. It is so sweet just like needed for the students to capture their attention on the subject matter
Thanks.
😇😇😇
Sure 😇😇😇
INTRESTING & KNOWLEDGEFUL and stepping stone to SUCCESS.
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superb!!well Explanation
Glad it was helpful!
Good Evening ma'am thank you for awesome video and Your voice like Madhuri Dixit. lovely voice.
Hey:) Thank you so much for your sweet words :) Really means a lot ! Glad to know that our content/courses is making you learn better :) Our team is striving hard to give the best content. Keep learning with us -Team Edureka :) Don't forget to like the video and share it with maximum people:) Do subscribe the channel:)
THANKS FOR THE QUALITY VIDEO AND MINE OF INFORMATION 👍🏼
Thank you Zulekha from EDUREKA.
concise and informative...thank u so much...Edureka team.
Hey Narender, thanks for the compliment. Do subscribe to our channel and stay connected with us. Cheers!
@@edurekaIN already subscribbed..
Good presentation thx
Superb session, Thanks to Edureka and trainer, crisp precise and well modulated - where can I get a copy of this presentation for reference?
Hi ! Glad you liked it ! We are glad to have learners like you .Drop your mail id in the comment section for us to share the data sheets or source codes :) Do subscribe our channel and hit that bell icon to never miss an video from our channel .
This was really helpful!! Thanks for uploading!!
You are welcome👍
We are glad we could help. Do subscribe to our channel to stay posted on upcoming tutorials: th-cam.com/users/edurekaIN.
❤ Great job Edureka !
thank you for this wonderful video, but may i ask what reference you use?
Hi Ahmad, our references are collective and if you wish to use them for your practise. Kindly drop in your respective email id and we will share it to you. Cheers :)
Thanks EDUREKA.. .. .. .. ..
Good presentation and content
Very nice explanation...thank you...
Hi : ) We really are glad to hear this ! Truly feels good that our team is delivering and making your learning easier :) Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
Thank you Zulekha and Edureka
Awesome thanks
Thank you for this
*35:05*
Thx for sharing
thanks a lot, i learned a lot i did not know
Thanks a lot.. Mam and Edureka team.. Very good content.. And.. Nice explaination by mam..
You are welcome Shivam. Don't forget to Subscribe our channel.
Please upload video about confidence interval
Hi Siddhant, we have considered your request and our team will definitely come up with an exclusive tutorial to guide you. Meanwhile, do subscribe to our channel and stay tuned. Cheers :)
@@edurekaIN thank you
Amazing training! Lol the bowl sounded like bowel....regardless best training!
We are very glad to hear that your a learning well with our contents 😊 continue to learn with us and don't forget to subscribe our channel so that you don't miss any updates !
excellent video. can i get the material or notes of this topic. I am student
Good to know our contents and videos are helping you learn better . We are glad to have you with us ! Please share your mail id to send the data sheets to help you learn better :) Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
At around 7:58 minutes, you have said that Spam or not Spam is considered as Discrete or Categorical .. so does it not come under Nominal Data in Qualitative??
It is Quantitative.
superb!!!
MAM explained it very nicely
solution of probability question is 5/36 i think
Very nice explanation
Where can I find the theoretical material for the same?
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it goes fast although, but good teaching
I love your voice 😍❤
so nice of you
Awesome session 👍
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why are true positive and false negatives considered as classification?
A true positive is an outcome where the model correctly predicts the positive class. Similarly, a true negative is an outcome where the model correctly predicts the negative class.
A false positive is an outcome where the model incorrectly predicts the positive class. And a false negative is an outcome where the model incorrectly predicts the negative class.
Thank you so much mam
nice work
Nice vedio.
Informative video
Thank you so much
You are welcome👍
Your voice is cherry on cake. Outstanding .
could you share this slide please?
Hi, unfortunately we do not share the presentations used in our tutorial. On the bright side, here is a link: bit.ly/39ZZ7lh to help you. Happy learning :)
can you please send me the ppt ?
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pdf provide kra do please
Good to know your learning with edureka :) please share your mail id to share the data sheet! We'll Update you soon !
Great
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i like to
Please in hindi
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answer is 4/5
Thanks for the lecture
Most welcome!