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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 -
data.table() vs data.frame() – Learn to work on large data sets in R
R users struggle while dealing with large data sets. In this article learn about data.table and data. frame packages and handling large datasets in R.
Analytics Vidhya 05 Jul, 2020
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Practical Guide to implementing Neural Networks in Python (using Theano)
Theano is a programming language which runs on top of Python. This article explains deep learning with theano and how implementing neural networks in python.
Aarshay Jain 05 Jul, 2020
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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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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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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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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
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Exploring Recommendation System (with an implementation model in R)
This tutorial illustrates use of recommendation engines in the banking industry with practicals done in R. It also explains types of recommendation engines.
Tavish Srivastava 05 Jul, 2020
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How to perform feature selection (i.e. pick important variables) using Boruta Package in R ?
Boruta package is a wrapper algorithm around random forest for important variables and used to perform feature selection in R for data science.
Guest Blog 26 Aug, 2021
