99% of data scientists do this mistake #shorts #unfolddatascience #datascience
99% of data scientists do this mistake #shorts #unfolddatascience #datascience
Hello ,
My name is Aman and I am a Data Scientist.
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.
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Book recommendation for Data Science:
Category 1 – Must Read For Every Data Scientist:
The Elements of Statistical Learning by Trevor Hastie – https://amzn.to/37wMo9H
Python Data Science Handbook – https://amzn.to/31UCScm
Business Statistics By Ken Black – https://amzn.to/2LObAA5
Hands-On Machine Learning with Scikit Learn, Keras, and TensorFlow by Aurelien Geron – https://amzn.to/3gV8sO9
Ctaegory 2 – Overall Data Science:
The Art of Data Science By Roger D. Peng – https://amzn.to/2KD75aD
Predictive Analytics By By Eric Siegel – https://amzn.to/3nsQftV
Data Science for Business By Foster Provost – https://amzn.to/3ajN8QZ
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Naked Statistics By Charles Wheelan – https://amzn.to/3gXLdmp
Practical Statistics for Data Scientist By Peter Bruce – https://amzn.to/37wL9Y5
Category 4 – Machine Learning:
Introduction to machine learning by Andreas C Muller – https://amzn.to/3oZ3X7T
The Hundred Page Machine Learning Book by Andriy Burkov – https://amzn.to/3pdqCxJ
Category 5 – Programming:
The Pragmatic Programmer by David Thomas – https://amzn.to/2WqWXVj
Clean Code by Robert C. Martin – https://amzn.to/3oYOdlt
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Watch python for data science playlist here:
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Watch End to End Implementation of a simple machine learning model in Python here:
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How to handle this process when you have text data?
There might be chance of few words present in train and not test.
I faced this problem earlier
Hi Aman, kindly make end to end project video with same train test split in initial state and then performing encoding, handling missing value, outlier basically all feature engineering and selection technique.
Hi Aman
One doubt here did u meant we need to split it beginning itself
Like once we read the dataset we need to split it to train and test even before handling missing values ?
At last I’m a part of the 1%
Data leakage. Split then transsform