India's Most Futuristic AI Conference Is Back – Bigger, Sharper, Bolder
Building recommendation engines in python and R, learn building one using graphlab library in the field of data science and machine learning.
This article explains machine learning algorithms and data exploration, manipulation using data.table and h2o package including deep learning
Learn about the challenges of imbalanced classification in R and how it can affect the accuracy of machine learning algorithms. Read Now!
This is a solution of mini hack excel which involves solving a business problem using advanced excel, logical and structured thinking to solve
Solution to Big Mart sales problem - includes hypothesis, data exploration, feature engineering & regression, decision tree / random forest model
Here is a solution to kaggle competition what's cooking with a step wise explanation of data exploration, text mining, boosting, ensemble model
A framework to quickly build a predictive model using python in under 10 minutes & create a benchmark solution for data science competitions.
Knn algorithm is a supervised machine learning algorithm. In this article learn the concept of kNN in R and knn algorithm examples with case study.
This article is a solution to kaggle bike sharing demand prediction using Rstudio cover feature engineering and random forest modeling to improve performance.
This article explains the practical application of PageRank algorithm used by search engines to analyze packages in R with R commands like miniCran, pkgdep
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