Data Science Tutorial – Learn Data Science from experts – Intellipaat

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To predict something useful from the datasets, we need to implement machine learning algorithms. Since, there are many types of algorithm like SVM, Bayes, Regression, etc. We will be using four algorithms- Dimensionality Reduction It is a very important algorithm as it is unsupervised i.e. it can implement raw data to structured data.


How to Handle Outliers in Data Analysis ? Multivariate Outlier Detection

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When you have a large dataset then there are the various cases when you are not getting the accurate machine learning models. Their predictions accuracy are not correct as you expected. There can be various reasons for it like Duplicates values e.t.c. One of the other reasons is Outliers. These are the values that don't contribute to the prediction but mainly affect the other descriptive statistic values like mean, median, e.t..c.


Build Your First Machine Learning Project With This Famous Dataset

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Every machine learning project begins by understanding what the data and drawing the objectives. While applying machine learning algorithms to your data set, you are understanding, building and analyzing the data as to get the end result.


Data Science, the Good, the Bad, and the… Future

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How often do you think you're touched by data science in some form or another? Finding your way to this article likely involved a whole bunch of data science (whooaa). To simplify things a bit, I'll explain what data science means to me. "Data Science is the art of applying scientific methods of analysis to any kind of data so that we can unlock important information." If we unpack that, all data science really means is to answer questions by using math and science to go through data that's too much for our brains to process.


Data Science, the Good, the Bad, and the… Future - The Renegade Coder

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Recently, someone from the editorial team for Kite, an AI autocomplete for Python, reached out to see if I would share some of their content. Since I thought the tool looked awesome, I figured I'd help them out. After some chatting, we decided on this data science article by Kirit Thadaka. How often do you think you're touched by data science in some form or another? Finding your way to this article likely involved a whole bunch of data science (whooaa).