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DATA SCIENCE

A general data science lifecycle process includes the use of machine learning algorithms and statistical practices that result in better prediction models. This Infographic on data science shows the steps involved in the entire process of data extraction, preparation, cleansing, modeling, and evaluation. It briefs you on how raw unorganized data is converted into useful material through various algorithms.

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DATA SCIENCE

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  1. LIFECYCLEOF DATASCIENCE!! Business Understanding Ask relevant questions and define objectives for the problem that needs to be tackled. Data Mining Gather and Scrape data necessary for the project Data Cleaning Fix the inconsistencies within the data and handle the missing values. Data Exploration Form a hypothesis about your defined problem by virtually analyzing the data Feature Engineering CheckWebsite Reliability meaningful ones using the raw data that you have Select important features and construct more Predictive Modeling Train Machine Learning models evaluate their performance, and use them to make predictions Data Vsualization Communicate the findings with key stakeholders using plots and interactive visualization www.datascience.com datasc@gmail.com +91 8859435431

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