Snehal NairinTowards AIMarkov Chain Attribution ModellingCan you attribute correctly to a channel that brought in conversion for you?Jul 13, 20232Jul 13, 20232
Snehal NairinTowards AI5 Regression diagnostics every data scientist must knowModel diagnostics are an integral part of building data science models. In the world of deep learning, it’s important to get the basics…Mar 5, 2023Mar 5, 2023
Snehal NairEverything you need to know about Recommender SystemsUnderstand data munging in PySpark while building a recommender system that utilises matrix factorisation technique — Alternating Least…Mar 5, 2023Mar 5, 2023
Snehal NairinTowards AIImbalanced Data — Real-Time BiddingWorking with imbalanced data can be very challenging. Imbalanced data refers to data where classes do not have equal weight. Some examples…Sep 12, 2022Sep 12, 2022
Snehal NairinPython in Plain EnglishDescent carefully on a gradient!In machine learning, gradient descent is an optimization algorithm used to find the values of parameters (θ) of a function (f) that…Jun 10, 2022Jun 10, 2022
Snehal NairincodeburstBuild a Model in SageMaker over 5 steps Using Low-Level APIAWS ML Model Development Best PracticesSep 21, 2020Sep 21, 2020
Snehal NairinThe StartupBuild a Model in SageMaker over 5 steps Using High-Level APIAWS ML Model Development Best PracticesSep 17, 20201Sep 17, 20201
Snehal NairinTowards Data ScienceGitHub for Data Scientists: CommitLearn about components of a commit, making commits, git revert commit, git undo commit, checkout git etc.Aug 24, 20201Aug 24, 20201
Snehal NairinTowards Data ScienceGitHub for Data Scientists: Part 2Learn about branching, git create branch, git merge, git pull request, git switch branch and different branching workflows with git.Aug 24, 2020Aug 24, 2020
Snehal NairinTowards Data ScienceGitHub for Data Scientists: Part1Learn about version controlling, git configuration, creating and cloning repository and committing.Aug 24, 2020Aug 24, 2020