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This article explains the method to find optimal weight in ensemble model using a traditional approach and neural network implementation.
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.
List of discussions from Reddit on machine learning, python, neural networks, artificial intelligence, bigdata, statistics, tutorials are shown
Here is the complete list of useful libraries in R to perform data analysis. ggplot2, swirl, shiny, rcmdr, randomforest, survival is listed
This article is a stepwise solution to the kaggle facebook recruiting competition. This includes a solution for how to rank in the Top 10 on Kaggle.
Beginners guide to data visualization in R. The article includes steps to create a heat map, mosaic map, bar chart, histogram, 3D graph for Data Visualization
This infographic is a quick guide to learn cloud computing in r programming using aws server, other services. Benefits & future of cloud computing and best services
This article aims to provide a best way to learn machine learning for beginners. It contains simple steps to the learning path for machine learning.
This article is a solution to kaggle bike sharing demand prediction using Rstudio cover feature engineering and random forest modeling to improve performance.
Introduction to r cloud computing, cloud computing in R studio is defined. Advantages of using R for cloud and IaaS, PaaS, SaaS are explained.
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