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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