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30 Questions to test a data scientist on Linear Regression [Solution: Skilltest – Linear Regression]

ArticleVideos Introduction Linear Regression is still the most prominently used statistical technique in data science industry and in academia to explain relationships between features. …

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A comprehensive beginners guide for Linear, Ridge and Lasso Regression in Python and R

ArticleVideos Introduction I was talking to one of my friends who happen to be an operations manager at one of the Supermarket chains in …

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Comprehensive & Practical Inferential Statistics Guide for data science

ArticleVideos Introduction Statistics is one of the key fundamental skills required for data science. Any expert in data science would surely recommend learning / upskilling …

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Business Consultant – Bangalore (2+ years of experience)

ArticleVideos Designation – Business Consultant Location – Bangalore About employer – Confidential Description Responsibilities Qualification and Skills Required Minimum of 1-2 years on the …

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Tree Based Algorithms: A Complete Tutorial from Scratch (in R & Python)

ArticleVideos Overview Explanation of tree based algorithms from scratch in R and python Learn machine learning concepts like decision trees, random forest, boosting, bagging, …

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Guide to Build Better Predictive Models using Segmentation

ArticleVideos Introduction We use linear or logistic regression technique for developing accurate models for predicting an outcome of interest. Often, we create separate models …

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Data Scientist – Noida (1 to 3 Years of experience)

ArticleVideos Designation – Data Scientist Location – Noida About employer – Confidential Description Data Science team is responsible for providing decision insights to business …

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How to use Multinomial and Ordinal Logistic Regression in R ?

ArticleVideos Introduction Most of us have limited knowledge of regression. Of which, linear and logistic regression are our favorite ones. As an interesting fact, …

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A Complete Tutorial on Ridge and Lasso Regression in Python

ArticleVideos Overview Ridge and Lasso Regression are types of Regularization techniques Regularization techniques are used to deal with overfitting and when the dataset is …

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10 Machine Learning Algorithms Explained to an ‘Army Soldier’

ArticleVideos Introduction If you think deep, you’d realize the whole process of predictive modeling is a war. Ruthless war. Don’t you believe me? Consider …