Dataiku ML Practitioner case studies
Dataiku ML Practitioner · Put your knowledge to work in context.
The ML Practitioner Certificate is one of the certifications offered through Dataiku Academy, the learning arm of the Dataiku platform. According to the Academy catalog, the certificate validates knowledge of topics such as visual machine learning and interactive statistics - the two areas a practitioner uses when building models with Dataiku's visual tools rather than code. The catalog tags the credential toward roles including data scientist, data engineer, and citizen data scientist, so it suits analysts and model builders who work primarily through the point-and-click interface and want a structured way to prove that skill. The associated learning path is described as honing skills on the visual tools in Dataiku for building machine learning models, and the Academy lists individual recommended courses such as Machine Learning Basics, Scoring Basics, and Interactive Statistics that map onto the two domains. The Dataiku ML Practitioner case studies are 5 cases and about 2,531 words.
1Churn Model With High Accuracy but Weak Discrimination
A subscription company has 120,000 active customers and a binary churn label; 8,400 churned in the last 12 months (7%). You build a Visual Analysis in Dataiku with a random 80/20 train/test split, stratified on churn.
580 words, about 3 min2Late-Delivery Model With Post-Outcome Features
A logistics team predicts late delivery for 300,000 shipments. The label is late (18%).
513 words, about 3 min3K-Means Segments That Only Reflect Account Size
A B2B software company wants to segment 60,000 accounts for sales plays. The team selects 14 numeric usage features, including total sessions, seats, admin logins, api calls, storage gb, and support tickets.
488 words, about 2 min4Checkout Rollout Reversal Across Device Strata
An e-commerce team tests a new checkout button by randomizing at the zip-code level: 40 zips get arm A and 40 get arm B. Because mobile-heavy urban zips were overrepresented in B, the device mix differs sharply.
479 words, about 2 min5Twelve Correlations From Forty Screened Features
A SaaS analytics team has 5,000 customer records and 40 numeric behavioral features. In the Statistics tab, they compute Pearson correlations with renewal and flag every feature whose p-value is below 0.05.
471 words, about 2 min