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Getting Started with Big Data Integration using HDFS and DMX-h
This article explains hadoop distribution file system HDFS) architecture, its components like mapreduce using DMX-h for data integration
Guest Blog 01 Aug, 2016
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Quick Guide to Build a Recommendation Engine in Python & R
Building recommendation engines in python and R, learn building one using graphlab library in the field of data science and machine learning.
Aarshay Jain 25 Oct, 2024
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A comprehensive beginner’s guide to start ML with Amazon Web Services (AWS)
A tutorial to configure aws instances to do faster data computation. In this article learn how to build your first model in machine learning with aws.
Aarshay Jain 05 Jul, 2020
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Solve Interview Case Studies 10x Faster Using Dynamic Programming
This article explains using dynamic programming technique to solve business analytics case studies using structured thinking in analytics
Tavish Srivastava 26 Feb, 2019
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Use H2O and data.table to build models on large data sets in R
This article explains machine learning algorithms and data exploration, manipulation using data.table and h2o package including deep learning
Analytics Vidhya 26 Sep, 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 -
Tree Based Algorithms: A Complete Tutorial from Scratch (in R & Python)
Tutorial on tree based algorithms, which includes decision trees, random forest, ensemble methods and its implementation in R & python.
Himanshi Singh 01 May, 2025
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Operational Analytics Case study For Freshers: Call Center optimization
This operational analytics case study is made for freshers and less experienced people in analytics to practice for interviews and new jobs
Tavish Srivastava 27 Feb, 2019
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Deep Learning for Computer Vision – Introduction to Convolution Neural Networks
A tutorial for convolution neural networks to identify images. Learn about deep learning for computer vision and implement CNNs using graphlab in python.
Aarshay Jain 05 Jul, 2020
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Practical Guide to Deal with Imbalanced Classification Problems in R
Learn about the challenges of imbalanced classification in R and how it can affect the accuracy of machine learning algorithms. Read Now!
Analytics Vidhya 04 Nov, 2024
