Digit recognizer

Август 9, 2022

Содержание

2. Business Objectives: to machine learning on "train.csv", then to recognize the hand-drawn digits in "test.csv". 2.
3. 3. a Brief Analytic Plan: To pre-study the local properties of hand-drawn digits in "train.csv", e.g.
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Слайд 2

Business Objectives:
to machine learning on "train.csv", then to recognize the hand-drawn

digits in "test.csv".
2. Data Mining Goals:
To achieve a categorization accuracy of 0.97

Слайд 3

3. a Brief Analytic Plan:
To pre-study the local properties of hand-drawn

digits in "train.csv", e.g. it’s shape, darkness and trace width, then to display them in GUI; to do a statistics on how much the pixel-value(0-255) for a pixel should reach, and how continuously for a pixel and it’s neighbor pixels, then will be recognized as a part of digit.
To pre-study the global properties of hand-drawn digits in "train.csv".
Finally, to use R or Python language to work out an algorithm on recognize the "test.csv".