Published inNerd For TechHow to create tensorflow tfrecords out of any dataset:A complete step by step tutorial for absolute beginners with exampleJan 23, 20211Jan 23, 20211
Published inThe StartupA Gentle Introduction to Backpropagation and Implementing Neural Network AnimationAt its core, a neural network is an algorithm that was designed to learn patterns in real-life data and make predictions. An important…Jan 15, 20211Jan 15, 20211
Activation functions: Why are they important and how to use them?Activation Functions:Jan 3, 2021Jan 3, 2021
Published inAnalytics VidhyaUnderstanding Gradient Descent and breaking down the math behind:Gradient descent is a widely used optimization algorithm used by a range of machine learning algorithms. Machine learning algorithms have…Jun 9, 2020Jun 9, 2020
Published inDataDrivenInvestorUnderstanding Adaboost and Scikit-learn’s algorithm:Ensemble models and more particularly Boosting algorithms have become quite popular on online data science competition forums like Kaggle…May 15, 20202May 15, 20202
Published inAnalytics VidhyaEnsemble Learning Methods in Machine Learning:Ensemble learning is a compelling technique that helps machine learning systems improve their performance. The technique gained a lot of…May 13, 2020May 13, 2020
Published inAnalytics VidhyaLogistic Regression: Understand the math behind the algorithmLogistic regression is a supervised binary classification algorithm. What that means is that the target value that we want to predict has…Apr 20, 2020Apr 20, 2020
Published inDataDrivenInvestorTypes of Distance Metrics and Using User Defined Distance metrics in Scikit’s KNN Algorithm:KNN algorithm is one of the most commonly used and important algorithms in data science. It is a supervised classification algorithm…Apr 18, 2020Apr 18, 2020
