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The following steps show the process of data cleaning in data mining. 1. Monitoring the errors: Keep a note of suitability where the most mistakes arise.

The Art of Data Science · 25 · 1.1 Volume, Velocity, Variety · 27 · 1.2 Machine Learning · 29 · 1.3 Supervised and Unsupervised Learning · 30 · 1.4 Predictions and Forecasts · 30 · 1.5 Innovation and Experimentation · 31 · 1.6 The Dark Side · 31 · 1.6.1 ·

6. Data Science-Machine learning ................................................................................. 28 · What is machine learning? ...................................................................................................... 28 · Types of machine learning: ..................................................................................................... 28 · Data Science Vs Machine Learning ..........................................................................................

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