https://manishbarnwal.com/tags/machine-learning/ Recent content in Machine-Learning on Manish Barnwal Hugo en-us Thu, 23 Nov 2017 00:00:00 +0000 https://manishbarnwal.com/posts/common_docker_commands/ Thu, 23 Nov 2017 00:00:00 +0000 https://manishbarnwal.com/posts/common_docker_commands/ This post is a tutorial on the commonly used docker commands. https://manishbarnwal.com/posts/choosing_probability_cut-off_in_classification/ Thu, 18 May 2017 00:00:00 +0000 https://manishbarnwal.com/posts/choosing_probability_cut-off_in_classification/ This post describes how to choose the probability cut-off in classification problem. https://manishbarnwal.com/posts/tutorial_on_dplyr/ Mon, 15 May 2017 00:00:00 +0000 https://manishbarnwal.com/posts/tutorial_on_dplyr/ This post is a tutorial on dplyr - a package for data manipulation in R. https://manishbarnwal.com/posts/machine_learning_function_estimation/ Fri, 12 May 2017 00:00:00 +0000 https://manishbarnwal.com/posts/machine_learning_function_estimation/ This post talks explains how the essence of machine learning is function estimation. https://manishbarnwal.com/posts/time_series_and_forecasting_using_r/ Wed, 03 May 2017 00:00:00 +0000 https://manishbarnwal.com/posts/time_series_and_forecasting_using_r/ This post talks about time series and forecasting. https://manishbarnwal.com/posts/h2o_with_r/ Tue, 28 Mar 2017 00:00:00 +0000 https://manishbarnwal.com/posts/h2o_with_r/ This post talks about building machine learning models in H2O using R. https://manishbarnwal.com/posts/introduction_to_adversarial_validation/ Thu, 16 Feb 2017 00:00:00 +0000 https://manishbarnwal.com/posts/introduction_to_adversarial_validation/ This post talks about adversarial validation- an approach to the problem of differently distributed training and test data. https://manishbarnwal.com/posts/introduction_to_adversarial_validation/ Wed, 15 Feb 2017 00:00:00 +0000 https://manishbarnwal.com/posts/introduction_to_adversarial_validation/ This post talks about adversarial validation- an approach to the problem of differently distributed training and test data. https://manishbarnwal.com/posts/the_curse_of_bias_and_variance/ Wed, 08 Feb 2017 00:00:00 +0000 https://manishbarnwal.com/posts/the_curse_of_bias_and_variance/ This post talks about the trade-off between bias and variance. https://manishbarnwal.com/posts/visualization_is_under-rated/ Fri, 27 Jan 2017 00:00:00 +0000 https://manishbarnwal.com/posts/visualization_is_under-rated/ This post talks about visualization -one of the most important aspects of data science that often gets ignored. https://manishbarnwal.com/posts/random_forest_explained_intuitively/ Tue, 18 Oct 2016 00:00:00 +0000 https://manishbarnwal.com/posts/random_forest_explained_intuitively/ This post explains random forest intuitively https://manishbarnwal.com/posts/improve_runtime_random_forest_r/ Thu, 13 Oct 2016 00:00:00 +0000 https://manishbarnwal.com/posts/improve_runtime_random_forest_r/ This post talks about a trick to improve the runtime of random forest package in R for large datasets https://manishbarnwal.com/posts/shell_commands_for_data_scientist/ Fri, 30 Sep 2016 00:00:00 +0000 https://manishbarnwal.com/posts/shell_commands_for_data_scientist/ This post talks about shell commands that come in handy for data-science people https://manishbarnwal.com/posts/three_letter_acronym_roc_and_auc/ Mon, 26 Sep 2016 00:00:00 +0000 https://manishbarnwal.com/posts/three_letter_acronym_roc_and_auc/ This post talks about roc curve and confusion matrix. https://manishbarnwal.com/posts/vim_shortcuts/ Thu, 22 Sep 2016 00:00:00 +0000 https://manishbarnwal.com/posts/vim_shortcuts/ This post talks shortcuts in vim editor https://manishbarnwal.com/posts/big_data_problem/ Wed, 29 Jun 2016 00:00:00 +0000 https://manishbarnwal.com/posts/big_data_problem/ This post talks about the big data problem and why we need it