Grasping Machine Learning with Mathematical Theory — ResourcesOr a Bag of resources for ML and maths in MLMay 4, 20202May 4, 20202
Published inTDS ArchiveSpeeding up Neural Net Training with LR-FinderFinding good initial learning rate for your networkJul 19, 20192Jul 19, 20192
Published inTDS ArchiveSelecting the Right Metric for Skewed Classification ProblemsSkew Accuracy!! Lets try few other classification metrics!!Mar 26, 20197Mar 26, 20197
Published inTDS ArchiveGenerating Synthetic Classification Data using ScikitCreating Artificial Data for fast testing of Classifier PerformanceMar 13, 2019Mar 13, 2019
Published inTDS ArchiveVersion Control with Jupyter NotebooksVersion Control is a vital part data science workflows. Between multiple experiments it is essential to know what changed and which…Oct 8, 20186Oct 8, 20186
Published inTDS ArchiveStock Market Analysis in PythonPART 1: Getting Data by Web ScrapingAug 13, 20183Aug 13, 20183
Participating in Kaggle Data Science Competitions: Part 1 - Step by Step guide and Baseline ModelKaggle competitions provide a great way to hone your data science skills as well as figure out how you compare to the top class…May 27, 20181May 27, 20181
Why Deep Learning is not the Holy grail of Data Science?Are statistics and other machine learning techniques useless? Is Linear Regression dead? Is Data Engineering an obsolete craft?Jan 9, 2018Jan 9, 2018
Debugging Bash Shell ScriptsMost of you have debugged java/js and other programming languages. But have you ever tried debugging a bash script. And no I am not talking…Nov 6, 201710Nov 6, 201710
Apache Spark setup with Gradle, Scala and IntelliJIn my previous post I had outlined the setup process of spark with Jupyter notebook. Since writing the last post I have used Jupyter…Feb 4, 20174Feb 4, 20174
