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Top 10 Algorithms & Methods Used In Data Science

By Raleview.com

Data Science

Data science encompasses preparing data for analysis, including cleansing, aggregating, and manipulating the data to perform advanced data analysis.

Regression

01.

This Analysis is a form of predictive modelling technique which investigates the relationship between a dependent (target) and independent variable (s) (predictor)

67 %

Clustering

02.

Clustering is used to identify groups of similar objects in datasets with two or more variable quantities.

57 %

Decision Trees/Rules

03.

Decision tree is one of the predictive modelling approaches used in statistics , data mining and machine learning .

55 %

Visualization

04.

Data visualization is defined as a graphical representation that contains the information and the data. By using visual elements like charts, graphs, and maps

49 %

K-nearest neighbors

05.

It is one of many (supervised learning) algorithms used in data mining and machine learning, it's a classifier algorithm.

46 %

PCA

06.

PCA is a method used to reduce number of variables in your data by extracting important one from a large pool.

43 %

Statistics

07.

The most important aspect of any Data Science approach is how the information is processed.

43 %

Random Forests

08.

Random forest is a flexible, easy to use machine learning algorithm that produces, even without hyper-parameter tuning, a great result most of the time.

38 %

Time Series

09.

Analyzing this time series data with certain tools and techniques is called time series analysis.

37%

Text Mining

10.

Text mining relates to transforming unstructured text into a structured format to identify meaningful patterns and new insights.

36 %