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Competition Launch: Home Credit – Credit Risk Model Stability

Source: Kaggle newsletter dated 7 Feb 2024

The power of data science could help better predict one’s repayment capabilities and make loans more accessible to those who may benefit the most.

In this competition, you’ll predict which clients will default on their loans.

Total Prizes:
$105,000

Entry Deadline:
April 29, 2024
Learn More

Your participation may enable consumer finance providers to accept more loan applications, improving the lives of people who have historically been denied due to limited credit history.

Good luck,

Walter Reade
Kaggle Data Scientist

Familiar with Looker? Write a review and avail $25 Amazon Gift Card :)

Looking for your expertise if you’re familiar with the software Looker. If you’ve used this, would you be willing to do an online review for it? It’s a 5-7 min survey and you will be thanked with a $25 Amazon Gift Card 🙂

It asks some questions about your opinion/experience using the software. And once you’ve finished and your review is approved, you’ll get a gift card emailed to you 🙂

Here is the link: https://www.softwarereviews.com/e0dwf

Please feel free to share this with anyone you may know who has also used the software. You and anyone you know have the chance to be featured in one of the publications by SoftwareReviews as an incentive! Also each of the gifts come in CAD USD or GBP as per your choosing!

Join us tomorrow for smarter planning, better plans with IBM Planning Analytics as a Service on AWS Webinar

IBM Planning Analytics newsletter dated 5 June 2023

Please join Mike McGeein, Product Management Director, Planning Analytics with Watson, IBM, Tracy Peppy, Product Manager, Planning Analytics with Watson, IBM, and Sami El Cheikh, Product Manager, Planning Analytics with Watson, IBM on 6 June 2023,11 AM ET for Smarter planning, better plans with IBM Planning Analytics as a Service on AWS.

Are you ready to take your planning and analysis game to the next level? Look no further than IBM Planning Analytics as a Service – deployed on AWS.

Say goodbye to piecemeal solutions and hello to a comprehensive, all-in-one platform that has everything you need for planning, analysis, and reporting. IBM Planning Analytics as a Service on AWS gives you lightning-fast performance, even when tackling complex financial analyses. And with the flexibility to scale up or down, you’re always in control.

IBM and AWS are a match made in heaven – this unbeatable partnership combines IBM’s industry-leading platform with AWS’s scale, agility, and cost-efficiency. You’ll have access to a trusted, managed SaaS platform that provides the most accurate, highly available, and scalable planning and analysis solution in the market.

To learn more about Planning Analytics as a Service and how to get started, attend our webinar on June 6th at 11 AM ET!

  • Learn about a cost-effective cloud-based planning solutions
  • Get questions answered
  • Ask questions from SMEs

Smarter planning, better plans with IBM Planning Analytics as a Service on AWS

Tuesday, June 6th 

11:00 AM ET

Register to join here

*you will be emailed the on-demand recording if you sign up with the link above

Thank you,

Michael Williams

Data Visualization Project using Tableau

  • Introduction to Data
  • Using SQL for Data Analysis
  • Data Visualization in Tableau

This project follows the learning covered in the Udacity Business Analytics Nanodegree’s third module Data Visualization in Tableau.

Build Data Dashboards

Learn how to select the most appropriate data visualization for an analysis. Learn how to evaluate the effectiveness of a data visualization and build interactive and engaging Tableau dashboards.

Flights

link here: https://www.kaggle.com/usdot/flight-delays/data

  • Your visualization work should use Tableau: other visualization tools may not be evaluated by reviewers.
  • Remember that your visualization should be explanatory in nature and communicate specific results that you want to show.

Submission

  • A PDF report that includes the following sections:
    • Links to your dashboards or story
    • Summary: a brief description of the visualization and the main story or findings conveyed
    • Design: explain any design choices you made including changes to the visualization after collecting feedback
    • Resources: list of Web sites, books, forums, blog posts, GitHub repositories, etc that you referred to or used in this submission (Add N/A if you did not use such resources).

Project link.

Tableau certification course with Edureka
Master Data Visualization with Tableau Certification Course with Edureka. Use Coupon Code: TECHIE25