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Beginning_Data_Science_with_Python_and_Jupyter_by_Alex_Galea.epub
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Beginning Data Science with Python and Jupyter by Alex Galea.epub

+ Identify potential areas of investigation and perform exploratory data analysis
+ Plan a machine learning classification strategy and train classification models
+ Use validation curves and dimensionality reduction to tune and enhance your models
+ Scrape tabular data from web pages and transform it into Pandas DataFrames
+ Create interactive, web-friendly visualizations to clearly communicate your findings



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Beginning Data Science with Python and Jupyter by Alex Galea.epub

+ Identify potential areas of investigation and perform exploratory data analysis
+ Plan a machine learning classification strategy and train classification models
+ Use validation curves and dimensionality reduction to tune and enhance your models
+ Scrape tabular data from web pages and transform it into Pandas DataFrames
+ Create interactive, web-friendly visualizations to clearly communicate your findings

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That strategy is the acquisition of a value-priced company by a growth company. Using the growth company's higher-priced stock for the acquisition can produce outsized revenue and earnings growth. Even better is the use of cash, particularly in a growth period when financial aggressiveness is accepted and even positively viewed.he key public rationale behind this strategy is synergy - the 1+1=3 view. In many cases, synergy does occur and is valuable. However, in other cases, particularly as the strategy gains popularity, it doesn't. Joining two different organizations, workforces and cultures is a challenge. Simply putting two separate organizations together necessarily creates disruptions and conflicts that can undermine both operations.

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