Epython Lab
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Welcome to Epython Lab, where you can get resources to learn, one-on-one trainings on machine learning, business analytics, and Python, and solutions for business problems.

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Machine Learning for Beginners + Machine Learning Mathematics. An Introduction Guide to Understand Data Science Through the Business Application

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@epythonlab #mlbooks
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Installing scrapy for web crawler
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Flask is one of the best Python Framework to implement machine learning model
Because it is flexible and dynamic
If you are beginner to Flask, learn from scratch
Sharing is caring
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How to activate virtual environment in Python
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How to start new project in scrapy
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If we may have data in XML format, but how could we transform into the right format for data analysis?

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This tutorial really help you to have basic knowledge about how to parse xml document into pandas DataFrame using pandas.
https://youtu.be/GFpBYaTJ1uQ
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Data Science Interview Preparation Questions Loading...
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99%
Yes, I want and I will share
1%
Comment your opinion
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Data science combines several disciplines, including statistics, data analysis, machine learning, and computer science. This can be daunting if youโ€™re new to data science, but keep in mind that different roles and companies will emphasize some skills over others, so you donโ€™t have to be an expert at everything.
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Does python know your errors before it runs your code?
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Anonymous Quiz
57%
Yes
43%
No
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What is anonymous Function in Python?
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Anonymous Quiz
82%
lambda function
8%
user defined function
9%
built-in function
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The Future with
Machine Learning For Dummiesยฎ, IBM Limited Edition

๐Ÿ“– Book

@epythonlab #mlbooks
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In order to be successful at machine learning, you need to have a strong problem solving mindset. You should be able to take almost any business challenge presented to you, break down it, and figure out how to apply machine learning to solve it.
The concepts and skills that you may need to demonstrate in an interview are above in the figure.
Watch latest Interview Questions: https://lnnk.in/iucY
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Danger of Statistics

"I never believe in statistics
I didn't doctor myself" Winston Churchill Said

Statistics: is deep and manipulated
Understand how to turn RAW DATA ===> Decision/Conclusion
@epythonlab
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