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Analytics, Top Library, BA for start up, PYTHON, Data Collection, Data,…

- - - - Design/ Develpment
        
        Implemnataion
        
        Deploy
        
        maintenance
- - - - Create Math Fun to map Input and Output
        
        Mapping Process is called training and repeatedly done to achieve desired accuracy level on basis of Train Data and Test Data
- - - - Algo is tuned by retune parameters until desired group size is achieved
        
        “Unsupervised” because they identify the
        clusters or groupings by themselves.
- - - - learns from past experience and tries to capture the best
        possible knowledge to make accurate business decisions.
- - - - Built In Library
      - Library Utility
      - Third party(Numpy/Numeric.Scipy)
      - Automatic Memory MGMT
    - - Numeric
        
        Integers
        
        Double/Float
      - Constant
      - String
      - AO
        
        a+b,a-b,ab,a/b,a*b
        
        CO
        
        a>b,a<b,a<=b
        
        !=
      - 'amit'+'bhatt'
      - amit*3
      - Indexing/Slicing
        
        Index 0, s='amit', s[0], s[1:3]
    - - Concatenation
      - Repitiition
      - Appending
      - Sorting
      - Reversal
      - Shrinking
      - How to install Python
      - Tuples
- - - - evaluation
        
        creation of information
- - - - Modeling
        
        Feature Extraction
        
        Output
- - - - Fit model for train set
        
        Predict
        
        Metrics
- - - - select stock in list of chart types
        
        click volume- high-close
        
        ok
- - - - OLAP
- - - - Tree
      - Rules