Deepak JaininTowards Data ScienceFeature HandlingVarious techniques for handling features9 min read·Dec 11, 2020----
Deepak JaininTowards Data SciencePerformance measures of modelsMeasuring how good or bad our model is performing6 min read·Sep 3, 2020----
Deepak JaininTowards Data ScienceCross-validation using KNNUnderstanding cross-validation, it’s need and k-fold cross validation6 min read·Jul 21, 2020--5--5
Deepak JaininLevel Up CodingKNN: Failure cases, Limitations and Strategy to pick right KUnderstanding the right applications of KNN and how to select the value of K5 min read·Jul 17, 2020--2--2
Deepak JaininLevel Up CodingKNN: K-Nearest NeighboursUnderstanding K Nearest Neighbours (KNN) from geometric standpoint7 min read·Jul 14, 2020--1--1
Deepak JaininTowards Data ScienceLet’s talk about Analytics: My real-world experienceAnalytics and Data science project6 min read·Jun 28, 2020--3--3
Deepak JaininLevel Up CodingVariance, Covariance and Correlation CoefficientUnderstanding the concept of variance, covariance, and correlation is one of the most crucial steps in machine learning.6 min read·Jun 22, 2020----
Deepak JaininApplied Machine LearningDimensionality Reduction and Visualization - Part-4 - tSNEThis is the last part of the 4-part series on Dimensionality Reduction & Visualization.4 min read·Jun 15, 2020----
Deepak JainDimensionality Reduction and Visualization- PCA — Part-3In the previous article of this series, we understood PCA is a great detail. We understood PCA as a way to maximize variance. In case you…2 min read·Jun 11, 2020----
Deepak JaininApplied Machine LearningDimensionality Reduction and Visualization- PCA - Part-2This article is in continuation of the series of articles on Dimensionality Reduction and Visualization. In case you haven’t gone through…5 min read·Jun 7, 2020--1--1