Linear regression is a powerful predictive modeling technique that enables the statistical analysis of continuous variables. It is the most popular technique for estimating relationships between inputs and outputs.<\/p>\n
This post discusses linear regression, how to use it in data science, and why you need to know about it as a professional data scientist.\u00a0 Now let’s dive into the topic!<\/p>\n
We start this section by defining linear regression. Here, in simple words, it is an approach to estimate the relationship between the input and output. It simplifies the modeling process and produces more interpretable results. When you need to make predictions on new data, Linear discriminant analysis is a better option for making predictions on new data points (i.e., test set) because of its solid statistical foundation and mathematical proofs of performance guarantees.<\/p>\n
For a Data Scientist, it is essential to know and understand the concept of linear regression and how to use it. This section provides some reasons why it is critical for data scientists:<\/p>\n
When you don’t know which variables are important: In many real-world problems, no one tells you which input variable(s) affect the output variable. In cases where you have access to historical data, it is possible to find the relationship(s) between input and output variables (i.e., linear regression).<\/p>\n
When your model needs linearity assumption: Incorporating nonlinearities in the prediction function requires complex modeling techniques like applying polynomial transformations or neural networks.<\/p>\n
Here are some common scenarios where we use in the industry.<\/strong><\/p>\n Input features = house size, car speed, age of a person, flight duration, etc<\/p>\n Output variable = price of a house\/car\/flight ticket etc<\/p>\n Students can master the fundamentals of data analytics and machine learning and the most in-demand data science tools and methodologies. With Tableau, you can learn Python, SQL, Data Analytics, Machine Learning, and Data Visualization. With this program’s job assurance guarantee, students may take a significant step forward in their career.<\/p>\n Some course USP:<\/strong><\/p>\n Contact us through the live chat support system or schedule a visit to training centers in Mumbai, Thane<\/a><\/strong>, Pune, Chennai<\/a><\/strong>, Bengaluru, Delhi<\/a><\/strong>, Gurgaon.<\/p>\n","protected":false},"excerpt":{"rendered":" Linear regression is a powerful predictive modeling technique that enables the statistical analysis of continuous variables. It is the most popular technique for estimating relationships between inputs and outputs. This post discusses linear regression, how to use it in data science, and why you need to know about it as a professional data scientist.\u00a0 Now […]<\/p>\n","protected":false},"author":1,"featured_media":245882,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_mo_disable_npp":"","_lmt_disableupdate":"no","_lmt_disable":"","footnotes":""},"categories":[23],"tags":[2960,866,1682,1854,2561],"class_list":["post-245881","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analytics","tag-linear-regression-for-data-science","tag-data-science-career","tag-how-to-become-a-data-scientist","tag-data-science-online-training","tag-best-data-science-courses-with-placement-in-india"],"acf":{"youtube-url-id":"","publised_date":"","ls_key":"PGA Pro"},"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n
\nEstimating Expected Weight of a baby based on mother’s weight during pregnancy, Estimating the passengers who will purchase tickets for an airline, etc.<\/li>\nExplore Data Science career with Imarticus Learning<\/h3>\n
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