Quick ramp-up of a full ML stack, based on a synthetic dataset

TL;DR

This article will technically guide you, in a step-by-step fashion, for ramping-up a synthetic dataset (features+labels) followed by Exploratory Data Analysis (EDA) and Machine-Learning (ML) analysis. It could be applied as a common template for an early ramp-up, before real data becomes available.

Agenda

  1. Dataset (synthetic) high-level definition - features and…


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Introduction

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Source

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A lot have been said and written about the titled topic.

This page provides my two cents, wrapped as a practical cookbook for the desired flow (in a “how-to” fashion..).

Results:

Shahar Gino

Data Scientist

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