Kriti SrivastavainDataDrivenInvestorGPT — new kid in the AI classroom?This is not a technical explanation!Aug 24, 2023Aug 24, 2023
Kriti SrivastavainDataDrivenInvestorDecision Trees — First step towards Classification!Using Decision Trees to explain ML as a SolutionFeb 18, 20221Feb 18, 20221
Kriti SrivastavainTowards Data ScienceClassification — Let’s understand the basics!Machine Learning (Supervised Learning)Jan 21, 2021Jan 21, 2021
Kriti SrivastavainTowards Data ScienceDifferent Shades of Machine LearningSupervised vs Unsupervised LearningNov 25, 2020Nov 25, 2020
Kriti SrivastavainThe StartupWhat to Keep and What to RemoveFeature Engineering on the dataAug 19, 2020Aug 19, 2020
Kriti SrivastavainTowards Data ScienceUnderstand the Patterns in the DataThe next step after importing the dataJul 17, 20201Jul 17, 20201
Kriti SrivastavainTowards Data ScienceWhat’s inside the Data!Preprocessing, EDA & Feature EngineeringJun 22, 2020Jun 22, 2020
Kriti SrivastavainTowards Data ScienceData Science — Where do I start?A practical starter kit to data science for non-programmersJun 13, 20202Jun 13, 20202
Kriti SrivastavainDataDrivenInvestorBridging the Gap between Business & Data ScienceData Science is used to provide a “data-driven solution”. But before we can solve a problem, we need a problem! And problems come from the…May 22, 20201May 22, 20201
Kriti SrivastavainDataDrivenInvestorData Science for Non-Data Scientists (Part 1)I often hear people without a data background having doubts about Machine learning. And honestly, I had similar doubts a few years back…May 8, 20202May 8, 20202
