
Python for Data Science
Alex Campbell
Are you interested in learning data science with Python? Do you want to know what you need to get started? Then you have picked up the right guide.
As more and more data becomes available and accessible, we need to find bigger and better ways of processing it. That's where data science comes in. It is the future of AI, and that makes it important to understand, if not learn. It's also important to understand the value data science can add to businesses, and by the end of this guide, you will know what it is, how it works, and how it can use data to extract meaningful, valuable insights.
Here's what you will learn:
And so much more!
If you want to get a head start on your data science journey, click that Buy Now button and never look back.
Duration - 7h 6m.
Author - Alex Campbell.
Narrator - Cliff Weldon, Ray Mayers.
Published Date - Sunday, 22 January 2023.
Location:
United States
Description:
Are you interested in learning data science with Python? Do you want to know what you need to get started? Then you have picked up the right guide. As more and more data becomes available and accessible, we need to find bigger and better ways of processing it. That's where data science comes in. It is the future of AI, and that makes it important to understand, if not learn. It's also important to understand the value data science can add to businesses, and by the end of this guide, you will know what it is, how it works, and how it can use data to extract meaningful, valuable insights. Here's what you will learn: And so much more! If you want to get a head start on your data science journey, click that Buy Now button and never look back. Duration - 7h 6m. Author - Alex Campbell. Narrator - Cliff Weldon, Ray Mayers. Published Date - Sunday, 22 January 2023.
Language:
English
Opening Credits
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File 2
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00 acx chapter 1
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00 acx what is data science
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00 acx career scope
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00 acx chapter 2
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00 acx steps involved
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00 acx defining the problem
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00 acx collecting data from soruces
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00 acx data processing
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00 acx feature engineering
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00 acx alg selec
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00 acx hyp par
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00 acx data vis
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00 acx interp
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00 acx how to solve the prob
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00 acx chapter 3 python
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00 acx understanding data
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00 acx datasetf
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00 acx beginning with
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00 acx howtoimp
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00 acx quick data
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00 acx distribution analysis
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00 acx cat dat an
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00 acx using
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00 acx checking for miss
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00 acx treating
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00 acx ch4
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00 acx pv3pv2
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00 acx data structures of python
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00 acx data ana us py
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00 acx dsupsi
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00 acx rttc
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00 acx anaconda
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00 acx jn
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00 acx onn
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00 acx math ca
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00 acx di
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00 acx importing dataset
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00 acx explor
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00 acx ctd
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00 acx features
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00 acx daem
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00 acx using mpl
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00 acx ch 5
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00 acx cwassub
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00 acx whatrmetrics
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00 acx counters
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00 acx gauges
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00 acx hist o t
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00 acx demo 1
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00 acx mean
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00 acx median
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00 acx perc
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00 acx haqc
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00 acx demo 2
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00 acx na
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00 acx long processes
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00 acx howtomon
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00 acx ch 6
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00 acx log reg
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00 acx decision tree
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00 acx datapred
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00 acx ch7
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00 acx searchoptions
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00 acx churn pred
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00 acx churn categ
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00 acx datascienceandpython
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00 acx lpfds
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00 acx conc
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File 3
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Introduction pds 01
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Chapter 1 pds 01
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Chapter 2 pds 01
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Chapter 3 pds 01
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Chapter 4 pds 01
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Chapter 5 pds 01
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Chapter 6 pds 01
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Chapter 7 pds 01
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Chapter 8 pds 01
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Conclusion pds 01
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Refereces pds 01
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Ending Credits
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