Analytics Vidhya

OCTOBER 6, 2021

This article was published as a part of the Data Science Blogathon Image Source: [link] Overview of Lifecycle of Data Science Project With the increasing demand for Data Scientists, more people are willing to enter into this field. It has become very important to showcase the right skills for Data Science to stand out from the […]. The post Introduction to the Lifecycle of Data Science project appeared first on Analytics Vidhya.

Data Science 327

Data Science Publishing Analytics IT 327

DataKitchen

OCTOBER 6, 2021

The post Why Enterprise AI Needs Human Intervention first appeared on DataKitchen.

Enterprise 243

Enterprise 243

Analytics Vidhya

OCTOBER 6, 2021

This article was published as a part of the Data Science Blogathon Introduction Hello Everyone, I hope you are doing well. Ever wondered, how great would it be, if we could predict, whether our request for a loan, will be approved or not, simply by the use of machine learning, from the ease and comfort […]. The post Loan Status Prediction using Support Vector Machine (SVM) Algorithm appeared first on Analytics Vidhya.

Machine Learning 314

Machine Learning Data Science Publishing Analytics 314

Dataiku

OCTOBER 6, 2021

Collaboration has always been an integral element of successful data science, but the concept moved into the spotlight as the global health crisis swiftly shifted the dynamics of data teams everywhere — in the blink of an eye, they were forced to navigate their data science projects (both those that were in progress and that hadn’t begun yet) in a remote world.

Data Science 104

Data Science 104

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Visualization

Analytics Vidhya

OCTOBER 6, 2021

This article was published as a part of the Data Science Blogathon Introduction to Data Visualization Plotting and data representation is an important part of the data-driven decision-making process and the whole data science roadmap. Data Visualization is the process of presenting data in pictorial and graphical format. The visual representation of data makes understanding […].

Interactive 284

Interactive Visualization Data-driven Data Science 284

Domino Data Lab

OCTOBER 6, 2021

R Markdown is one of those indispensable tools in a data scientist’s toolbox that provides speed and flexibility with the last-mile problem of getting your work into production. Speed comes from how easy it is to host and schedule R Markdown reports. Flexibility comes from the wide array of options for production output. Whether it is prototyping an intermediate result or producing quality output that will put your work in its best light, R Markdown has a lot to offer.

Data Science 52

Data Science Modeling Data Processing Reporting 52

John Wheeler

OCTOBER 6, 2021

2021 has been an eventful year for business leaders as they continue to struggle with major risk events. Pandemic shut-downs , ransomware disruptions , supply chain bottlenecks , climate change , social unrest – and that’s just the start. Common to all of these risk events is the highly interconnected causes and effects that require a better view of the risk landscape.

Risk Management 52

Risk Management Risk Interactive Technology 52

Analytics Vidhya

OCTOBER 6, 2021

This article was published as a part of the Data Science Blogathon In this article, I’ll go over Market Basket Analysis and how to use it in R. Table of Contents: 1. Market Basket Analysis 2. How is it used? 3. Association Rules 4. Applications 5. The Dataset 6. Math’s in Market Basket Analysis 7. […]. The post End-to-End Introduction to Market Basket Analysis in R appeared first on Analytics Vidhya.

Marketing 267

Marketing Data Science Publishing Analytics 267

Teradata

OCTOBER 6, 2021

This how-to guide will help you connect Teradata Vantage with the AWS Data Exchange service. Read more for step-by-step instructions.

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Analytics Vidhya

OCTOBER 6, 2021

This article was published as a part of the Data Science Blogathon How Python can help you beat the online quiz? Image 1 Forming a team and entering a table quiz is terrific fun. If the table quiz is also in the Pub, it can make for a great night out. In the office, we […]. The post Examining the weekly Pub Quiz using Python appeared first on Analytics Vidhya.

Data Science 56

Data Science Publishing Analytics IT 56

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Management

Data Science and Beyond

OCTOBER 6, 2021

Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I’ve done with the company.

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