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How to start applying for Analytics / Data Science Masters in the US Universities?
This is a complete guide to apply for data science & analytics masters program in US which includes tips on writing GRE TOEFL exam, SOP & other details
Aarshay Jain 02 Aug, 2019
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12 Winning Tips to Clinch Your First Win in Data Science Competitions
Winning tips for machine learning competition which includes feature engineering, stacking, ensembling, data exploration, algorithm selection
Kunal Jain 20 Mar, 2018
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20 Challenging Job Interview Puzzles which every analyst should solve atleast once
What are the challenging puzzles asked in data science and data analyst interviews? Solve these data science puzzles using logical thinking and maths
Analytics Vidhya 25 Jun, 2019
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Practical Guide on Data Preprocessing in Python using Scikit Learn
Data preprocessing in python using scikit learn library that includes scaling, label encoding for preprocessing and preparing data for our models.
syed 21 Oct, 2024
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6 Assumptions of Linear Regression
Linear regression assumptions: Validate models, understand key assumptions, and improve statistical analysis with expert insights."
Himanshi Singh 04 Apr, 2025
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Analytical Concepts: Must Known For Every Professional & Fresher
This article explains 3 analytical concepts which includes descriptive, predictive and prescriptive analytics for analytics professionals
Guest Blog 27 Feb, 2024
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10 Analytics / Data Science Masters Program by Top Universities in the US
This article reviews top 10 masters program in analytics, data science and machine learning in US and ranked them according to parameters.
Aarshay Jain 02 Aug, 2019
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AV LearnUp, DelhiNCR Chapter, India, 17th July 2016
Analytics workshop for beginners and data science enthusiasts. Learn predictive modeling and solve a practice problem
Kunal Jain 10 Jul, 2016
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Strategic Thinking Competition by Analytics Vidhya, 16th July 2016
Upcoming competition this July, 2016. Participate in strategic thinking competition and win cash prizes.
Kunal Jain 12 Aug, 2016
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Using Platt Scaling and Isotonic Regression to Minimize LogLoss Error in R
This tutorial explains using isotonic regression and platt scaling to calibrate predicted probabilities to improve logloss error in data set
NSS 07 Jul, 2016
