Logistic regression
If you like applying Logistic regression, every challenge here gives you a chance to practice it on a real industry brief.
- CodeBeginnerNew
Predict Subscription Churn for an EdTech Platform
You receive a CSV with about 18,000 student-month rows: features include login frequency, session length, quiz scores, parent app opens, and plan tier. The target is whether the…
- Supervised Learning
- Logistic Regression
- Gradient Boosting
Machine Learning (Undergraduate) - StrategyIntermediateNew
AI Strategy for 40-Person SaaS Moving to Enterprise
Analyze the provided dataset of 200 enterprise trials (features: number of users invited, integrations used, support tickets, time in trial, etc.) and build a lead scoring model…
- Lead Scoring
- Logistic Regression
- Ai Workforce Strategy
Machine Learning and AI for Business - CodeBeginnerNew
Predictive Churn Model for Bangalore D2C Cosmetics
You will analyze a provided dataset of 10k customers with features like purchase frequency, average order value, time since last purchase, pages visited, support tickets, and su…
- Python Or Javascript
- Scikit Learn
- Logistic Regression
Machine Learning and AI for Business - AnalysisBeginnerNew
Stress-Test a Hiring-Funnel Model for Bias
You receive a synthetic-but-realistic dataset of 25,000 past applicants with features (years of experience, education tier, prior role tags) and outcome labels (advanced past th…
- Model Evaluation
- Fairness Metrics
- Logistic Regression
Machine Learning (Undergraduate) Practice your coursework on real scenarios.
Every challenge is shaped from real-world context — not generic exercises. The work mirrors what your degree prepares you for.
Why Ewance
- AnalysisBeginnerNew
Customer Churn Prediction for 40-Person SaaS Scale-Up
You receive a dataset with 500 customers and 10 features (e.g., monthly logins, number of support tickets, contract length, industry). Your task is to perform exploratory analys…
- Logistic Regression
- Classification
- Feature Engineering
Econometrics - AnalysisIntermediateNew
Predict Customer Churn for a Telecom Company
You are a business analyst at ConnectTel. Using the provided dataset, conduct exploratory data analysis to understand churn patterns. Then, build a logistic regression model to …
- Logistic Regression
- Classification Metrics
- Feature Selection
Statistics for Business
How it works
From brief to credential, in six steps.
Step 01
Browse challenges aligned to your studies.
Step 02
Accept the one that fits your goals.
Step 03
Work through it with AI Copilot guidance.
Step 04
Submit for structured evaluation.
Step 05
Earn a verified credential.
Step 06
Add it to LinkedIn with one click.
Industry teams behind a decade of practitioner briefs
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Industry teams can shape briefs around the skills they hire for, then evaluate students on rubric-scored deliverables — not resumes.