Focus On Story Telling-How To Ace Data Science Interviews?

  Рет қаралды 16,803

Krish Naik

Krish Naik

Күн бұрын

Пікірлер
@arjyabasu1311
@arjyabasu1311 4 жыл бұрын
It's 💯 true!! I have also cleared my interview by following him❤️
@PraveenKumar-pd9sx
@PraveenKumar-pd9sx 4 жыл бұрын
Is feature selection techniques discussed in the channel
@jayanthip4941
@jayanthip4941 4 жыл бұрын
Congrats👏👏
@shreyasb.s3819
@shreyasb.s3819 4 жыл бұрын
Can u share some interview questions they asked for u? It heps me lot. I am going to attend
@prateeksahu3876
@prateeksahu3876 4 жыл бұрын
Stock market scenario: Case 1 : we have predicted it will crash ,but it did not (False Positive) . Focus on precision score. Case 2 : we have predicted it will not crash ,but it crashed (False Negative) . This will do more damage than case 1. Hence, we need to Keep FN low (high Recall) . Case 3: If client specifically wants a balance i.e we don't want too many FP or FN . Focus on F1 score.
@ParamChoksi-ve6yg
@ParamChoksi-ve6yg 4 жыл бұрын
Eagerly Waiting for this one
@dheerajkumark2268
@dheerajkumark2268 4 жыл бұрын
Excited, waiting for the video
@ashishbhatnagar8682
@ashishbhatnagar8682 4 жыл бұрын
Thank you so much for your valuable advice in this tough time. Much needed video
@admitra7512
@admitra7512 4 жыл бұрын
Hello sir, in response to the question asked,here is my answer. so the problem statement is to predict whether the stock market will crash or not. here the FALSE POSITIVE would be/Type 1 error rate would be: our model predicts that the stock market crashes but in reality it does not crash(predicting something true when in reality it is false). here the FALSE NEGATIVE would be/Type 2 error rate would be: our model predicts that stock market wont crash but in reality it crashes(predicting something false when in reality it is true). so in context of the stakeholder or someone who is really into buying stocks,that person would try to minimise the False Negative rate as it brings much more harm to that person, as a lot of money is attached to the stock market,perhaps.
@madanmaram276
@madanmaram276 4 жыл бұрын
What a motivation u have gave👏🙏🏿kudos
@pdpy4550
@pdpy4550 4 жыл бұрын
Great Videos, You are really doing a great job.
@Rocksnapster
@Rocksnapster 4 жыл бұрын
Hi Krish... Pls do one live streaming on unsupervised clustering algo end to end implementation.
@supriyomukherjee9256
@supriyomukherjee9256 4 жыл бұрын
Really Great !!!!Are you going to release such beautiful videos with your suggestions for those who are going to join as a Team Lead or Data Science Managerial Role.
@lenkamndev9988
@lenkamndev9988 Жыл бұрын
Thank you so much sir 🥰
@louerleseigneur4532
@louerleseigneur4532 3 жыл бұрын
Thanks Krish
@nikkhil2504
@nikkhil2504 4 жыл бұрын
can u make a project on hand gestures recognition based software control using cnn ?
@shreyasb.s3819
@shreyasb.s3819 4 жыл бұрын
Nice info.
@PraveenKumar-pd9sx
@PraveenKumar-pd9sx 4 жыл бұрын
Is Feature selection techniques discussed in the channel Krish?
@PraveenKumar-pd9sx
@PraveenKumar-pd9sx 4 жыл бұрын
I'm not able to find it
@kaustubhgupta12
@kaustubhgupta12 4 жыл бұрын
@@PraveenKumar-pd9sx There is a playlist named Feature Enginnering where this topic is covered
@PraveenKumar-pd9sx
@PraveenKumar-pd9sx 4 жыл бұрын
Hi searched for that but could only see Encoding outlier detection and imbalance handling and not featire selection techniques
@PraveenKumar-pd9sx
@PraveenKumar-pd9sx 4 жыл бұрын
Can you tell me a good resource for that
@kaustubhgupta12
@kaustubhgupta12 4 жыл бұрын
@@PraveenKumar-pd9sx kzbin.info/www/bejne/e6Kvc3SjqbCApLM Here is Krish video !
@harishyadav5757
@harishyadav5757 4 жыл бұрын
Can u talk data pipelines in story telling ...how data we are getting.
@kuldipjoshi1406
@kuldipjoshi1406 4 жыл бұрын
Hey any good research paper on stock market fraud detection...like circular trading nd spoofing...?.. I need to develop it as my use case...if u know plz mention some solved use case for reference
@raneshmitra8156
@raneshmitra8156 4 жыл бұрын
Pincode I used Probability Encoding Technique
@purushothamreddycheppala6521
@purushothamreddycheppala6521 4 жыл бұрын
Krish bro how could we introduce our data science portfolio in interview
@pdpy4550
@pdpy4550 4 жыл бұрын
If the interviewer asks you, tell me about yourself, then start with the best project that you had done and have an end to end knowledge of it. because the next question they ask will from that project only and as you have an end to end knowledge of it, you can answer it easily.it also help you to build confidence.
@tanvishinde805
@tanvishinde805 4 жыл бұрын
stock market : False Positive should reduce , i.e. a rising stock price, if predicted with a fall in price would do more harm
@juhitaksande5032
@juhitaksande5032 4 жыл бұрын
waiting...............
@pratyusadwibedy2099
@pratyusadwibedy2099 4 жыл бұрын
Hello Sir How are you
@akshaypawar6899
@akshaypawar6899 4 жыл бұрын
Which will be the most demanding & most high paid job in coming 2-3years
@samit1988able
@samit1988able 4 жыл бұрын
Hi Krish, I am a software Quality Assurance analyst with 7 years of experience. Can I join ml project?
@raneshmitra8156
@raneshmitra8156 4 жыл бұрын
Stock market false positive
@kaustubhgupta12
@kaustubhgupta12 4 жыл бұрын
If we talk about whether the stock market will crash or not, shouldn't we foucs on reducing false negatives as FN are cases where the predicted result was falsely labeled as negative and in this case, if the stock market crashes and the model predict that it doesn't crash, it will make no sense. Kindly correct me if you have other analogies
@raneshmitra8156
@raneshmitra8156 4 жыл бұрын
@@kaustubhgupta12 please visit Kris video of performance metrics interview questions comments section, you get a better idea, may be l am wrong....
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