Installing scrapy for web crawler

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
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How to activate virtual environment in Python

How to start new project in scrapy

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

Develop Modern App Using Flask(Python)

https://youtu.be/dIN31vX9Qvw

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Data Science Interview Preparation Question 1
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Data science combines several disciplines, including statistics, data analysis, machine learning, and computer science. This can be daunting if you’re new to data science, but keep in mind that different roles and companies will emphasize some skills over others, so you don’t have to be an expert at everything.

Parsing complex xml document and transform into Pandas DataFrame
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Data Science Interview Preparation: Question 2|A SQL Database
https://youtu.be/_MqYwHPnKbI
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Day3 Interview Challenge:
Data Science Interview Questions: A Probability
https://youtu.be/YVyAcvx5K-Q

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Day 4: Find maximum difference of an Array

Data Science Interview Questions: Question 4
https://youtu.be/xT8hpyrKQOY

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The Future with
Machine Learning For Dummies®, IBM Limited Edition

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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.
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What are the difference between Bar chart and Histograms?
https://youtu.be/fqBoCuMdCzs

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
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Cheat Sheets for AI Neural Networks, Machine Learning, DeepLearning & Big Data

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