Difference between revisions of "Main Page"

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[[Machine Learning for Trading Course]]
 
[[Machine Learning for Trading Course]]
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'''1. Data Analysis with Pandas'''
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  1.1 Number Crunching with Python
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      * Python Fundamentals [''I think we can skip this it would be too basic'']
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      * Numpy Fundamentals - ''chap 4''
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        --> Creating Arrays
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        --> Basic Indexing and slicing
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        --> Data Processing using Arrays
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            => Basic Indexing and slicing
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      * Pandas Data Structure - ''chap 5 and [http://www.ideal.ece.utexas.edu/courses/ee380l_ese/ppt/Research_Paper_Presentation_Pandas_Moshiul_Arefin.pdf]''
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        --> Series
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            => Working with Index
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            => Operations - Filtering
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            => Incomplete Data     
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        --> Data Frame ''page 115''
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            => Creating Data Frame
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            => Operations on columns and rows
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            => Essential Function -  Reindexing, Indexing and filtering
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  1.2 Data Analysis
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      * Reading and Writing Data - ''chap 6- page 155,163''
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        --> Importing Data using Pandas
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        --> Importing data without pandas
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        --> Saving and exporting data using pandas
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        --> Saving and exporting data widout pandas
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      * Pre-processing Data - ''chap 5- Page 142,145''
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      * Date and Time - ''Page 290,298 and [https://www.kevinsheppard.com/images/0/09/Python_introduction.pdf]''
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        --> Creating Date and Time
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        --> Date Mathematics
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        --> Time Series Plotting ['' Page 319-323 Note:This can be added in graphs'']
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      * Graphs - ''chap 8 Note: Perfect''
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      * Statistical Function - ''chap 5- page 137-141  Note: We can add more or merge this with some other section I feel this is important''
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'''2. Machine Learning'''
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'''3. Machine Learning for trading'''

Revision as of 18:54, 6 February 2015

Machine Learning for Trading Course

1. Data Analysis with Pandas 

  1.1 Number Crunching with Python
      * Python Fundamentals [I think we can skip this it would be too basic]
 
      * Numpy Fundamentals - chap 4
        --> Creating Arrays
        --> Basic Indexing and slicing
        --> Data Processing using Arrays
            => Basic Indexing and slicing

      * Pandas Data Structure - chap 5 and [1]

        --> Series
            => Working with Index
            => Operations - Filtering
            => Incomplete Data      

        --> Data Frame page 115
            => Creating Data Frame
            => Operations on columns and rows
            => Essential Function -  Reindexing, Indexing and filtering

  1.2 Data Analysis

      * Reading and Writing Data - chap 6- page 155,163
        --> Importing Data using Pandas
        --> Importing data without pandas
        --> Saving and exporting data using pandas
        --> Saving and exporting data widout pandas

      * Pre-processing Data - chap 5- Page 142,145

      * Date and Time - Page 290,298 and [2]
        --> Creating Date and Time
        --> Date Mathematics
        --> Time Series Plotting [ Page 319-323 Note:This can be added in graphs]

      * Graphs - chap 8 Note: Perfect

      * Statistical Function - chap 5- page 137-141  Note: We can add more or merge this with some other section I feel this is important



2. Machine Learning 3. Machine Learning for trading

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