ODSC 2017 Workshop
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Intro to Python Continue
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Description: # Intro to Python Python is a simple, easy-to-learn, pseudo-code resembling programming language. It is rich with all the features of any object oriented language. Scientists and Mathematicians have been using python since its inception and hence is popular for analytical tasks. Python is also known for its brevity.  ## Why is Python a Favorite of Data Scientists?
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Numpy Continue
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Description: # Numpy ## Arrays and Lists Before getting introduced to Numpy library, we need to be familiar with a very widely used data structure called 'array'. An array is a collection of homogenous variables. Here homogenous means variables of the same data type. And so an array can be a collection of integers (int datatypes), collection of fractions/decimal values (float datatypes) or a collection of characters (char datatype) also referred to as a string.
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Dataframes Continue
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Description: # Dataframes ## Dataframe Basics ### The Pandas Library
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Data Science workflow Continue
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Description: # Data Science workflow ## Origins of Data Science ### History
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Machine Learning Continue
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Description: # Machine Learning ## Introduction to Machine Learning ### Machine Learning
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Data Visualization Continue
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Description: # Data Visualization ## Data Visualization ### Data Visualization
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Logistic Regression Continue
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Description: # Logistic Regression ## Logistic Regression ### Introduction to Classification
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Logistic Regression: Model Building and Implementation Continue
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Description: # Logistic Regression: Model Building and Implementation <br/><br/><br/> ## Titanic Survivors - Data Selection & Preparation
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