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How to reduce chances of rejection in Interview | How to get selected in interview
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How to reduce chances of rejection in Interview | How to get selected in interview
#DataScienceInterview #UnfoldDataScience
Hello ,
My name is Aman and I am a Data Scientist.
About this video:
IN this video, I explain about few points to keep in mind so that one's chances in getting rejected in interview is minimized. I also talk about points to take care in beginning of the interview, towards starting of interview and end of the interview. Below points are discussed in this video:
1. How to reduce chances of rejection in Interview
2. How to get selected in interview
3. Data Science interview question and answer
4. Data Science interview for freshers
5. Machine learning interview for freshers
6. Machine learning interview questions and answers
7. Machine learning interview tips and tricks
About Unfold Data science: This channel is to help people understand basics of data science through simple examples in easy way. Anybody without having prior knowledge of computer programming or statistics or machine learning and artificial intelligence can get an understanding of data science at high level through this channel. The videos uploaded will not be very technical in nature and hence it can be easily grasped by viewers from different background as well.
If you need Data Science training from scratch . Please fill this form (Please Note: Training is chargeable)
Book recommendation for Data Science:
Category 1 - Must Read For Every Data Scientist:
Ctaegory 2 - Overall Data Science:
Category 3 - Statistics and Mathematics:
Category 4 - Machine Learning:
Category 5 - Programming:
My Studio Setup:
Join Facebook group :
Follow on twitter : @unfoldds
Follow on Instagram : unfolddatascience
Watch python for data science playlist here:
Watch statistics and mathematics playlist here :
Watch End to End Implementation of a simple machine learning model in Python here:
Learn Ensemble Model, Bagging and Boosting here:
Build Career in Data Science Playlist:
Artificial Neural Network and Deep Learning Playlist:
Natural langugae Processing playlist:
Understanding and building recommendation system:
Access all my codes here:
#DataScienceInterview #UnfoldDataScience
Hello ,
My name is Aman and I am a Data Scientist.
About this video:
IN this video, I explain about few points to keep in mind so that one's chances in getting rejected in interview is minimized. I also talk about points to take care in beginning of the interview, towards starting of interview and end of the interview. Below points are discussed in this video:
1. How to reduce chances of rejection in Interview
2. How to get selected in interview
3. Data Science interview question and answer
4. Data Science interview for freshers
5. Machine learning interview for freshers
6. Machine learning interview questions and answers
7. Machine learning interview tips and tricks
About Unfold Data science: This channel is to help people understand basics of data science through simple examples in easy way. Anybody without having prior knowledge of computer programming or statistics or machine learning and artificial intelligence can get an understanding of data science at high level through this channel. The videos uploaded will not be very technical in nature and hence it can be easily grasped by viewers from different background as well.
If you need Data Science training from scratch . Please fill this form (Please Note: Training is chargeable)
Book recommendation for Data Science:
Category 1 - Must Read For Every Data Scientist:
Ctaegory 2 - Overall Data Science:
Category 3 - Statistics and Mathematics:
Category 4 - Machine Learning:
Category 5 - Programming:
My Studio Setup:
Join Facebook group :
Follow on twitter : @unfoldds
Follow on Instagram : unfolddatascience
Watch python for data science playlist here:
Watch statistics and mathematics playlist here :
Watch End to End Implementation of a simple machine learning model in Python here:
Learn Ensemble Model, Bagging and Boosting here:
Build Career in Data Science Playlist:
Artificial Neural Network and Deep Learning Playlist:
Natural langugae Processing playlist:
Understanding and building recommendation system:
Access all my codes here:
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