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Introduction to Regression Splines (with Python codes)
Introduction As a beginner in the world of data science, the first algorithm I was introduced to was Linear Regression. I applied it to …
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Essentials of Machine Learning Algorithms (with Python and R Codes)
Note: This article was originally published on Aug 10, 2015 and updated on Sept 9th, 2017 Introduction Google’s self-driving cars and robots get a lot …
![30 Questions to test a data scientist on Linear Regression [Solution: Skilltest – Linear Regression]](https://s3-ap-south-1.amazonaws.com/av-blog-media/wp-content/uploads/2017/07/03094331/liner_reger_small-258x169.png "30 Questions to test a data scientist on Linear Regression [Solution: Skilltest – Linear Regression]")
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30 Questions to test a data scientist on Linear Regression [Solution: Skilltest – Linear Regression]
Introduction Linear Regression is still the most prominently used statistical technique in data science industry and in academia to explain relationships between features. A …
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A comprehensive beginners guide for Linear, Ridge and Lasso Regression
Introduction I was talking to one of my friends who happens to be an operations manager at one of the Supermarket chains in India. …
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Comprehensive & Practical Inferential Statistics Guide for data science
Introduction Statistics is one of the key fundamental skills required for data science. Any expert in data science would surely recommend learning / upskilling yourself …
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Business Consultant – Bangalore (2+ years of experience)
Designation – Business Consultant Location – Bangalore About employer – Confidential Description Responsibilities Qualification and Skills Required Minimum of 1-2 years on the below …
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A Complete Tutorial on Tree Based Modeling from Scratch (in R & Python)
Introduction Tree based learning algorithms are considered to be one of the best and mostly used supervised learning methods. Tree based methods empower predictive models …
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Guide to Build Better Predictive Models using Segmentation
Introduction We use linear or logistic regression technique for developing accurate models for predicting an outcome of interest. Often, we create separate models for …
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Data Scientist – Noida (1 to 3 Years of experience)
Designation – Data Scientist Location – Noida About employer – Confidential Description Data Science team is responsible for providing decision insights to business users …
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How to use Multinomial and Ordinal Logistic Regression in R ?
Introduction Most of us have limited knowledge of regression. Of which, linear and logistic regression are our favorite ones. As an interesting fact, regression has extended capabilities to …
