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11 Must Read Books This Summer on Internet of Things (IoT)
This article lists the must read useful books on internet of things. IoT is majorly driven by abundance of data, sensors to connect devices
Analytics Vidhya 05 Jan, 2017
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9 Challenges on Data Merging and Subsetting in R & Python (for beginners)
This article explains merging, joining, sorting, subsetting of data frames, columns, rows using practice in R and Python with various examples
syed 06 Sep, 2019
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Exclusive Python Tutorials & Talks from PyCon 2016 Portland, Oregon
This article list the best tutorial and talks on python from PyCon Conference 2016. The videos include machine learning, statistics, data etc
Kunal Jain 20 Jan, 2020
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8 Reasons Why Analytics / Machine Learning Models Fail To Get Deployed
This article explain the reasons behind analytics / machine learning models deployment failure in business world to a data scientists/analyst.
Tavish Srivastava 30 May, 2016
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Winners Talk: Top 3 Solutions of The Seer’s Accuracy Competition
This article highlights the top 3 winning solutions from The seer's accuracy. The winners used xgboost, feature engineering and ensembled.
Analytics Vidhya 11 May, 2016 -
15 Must Read Books for Entrepreneurs in Data Science
This article features the 15 best books to read by founders / entrepreneurs in data science industry. They give an overview of using analytics
Analytics Vidhya 05 Jan, 2017
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13 Machine Learning & Data Science Startups from Y Combinator Winter 2016
This article presents the machine learning, data science startups from Y Combinator winter batch 2016. These startups use data and analytics
Analytics Vidhya 23 Jul, 2019
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Winning Solutions of DYD Competition – R and XGBoost Ruled
This article reveals the winning solutions of date your data competition. Winners used R, python and boosting algorithms to get winning scores
Analytics Vidhya 18 Mar, 2016
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Complete Solution: How I got in Top 11% of Kaggle Telstra Competition ?
This is a complete solution of machine learning data mining competition Kaggle Telstra network disruption competition using xgboost ensemble
Aarshay Jain 02 Aug, 2019
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Tutorial on 5 Powerful R Packages used for imputing missing values
Learn about powerful R packages like amelia, missForest, hmisc, mi and mice used for imputing missing values in R for predictive modeling in data science.
Analytics Vidhya 05 Jul, 2020
