Data Science Tutorials
Data Science provides a comprehensive curriculum for aspiring data scientists and analysts. Our tutorials cover statistical analysis, machine learning, and data visualization, suitable for both beginners and intermediate learners. Through interactive labs and hands - on coding exercises, you'll gain practical experience with real - world datasets. Our data science playground allows you to apply your skills in a dynamic online environment.
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Count Logical Votes Rather Than Records
Count Kafka vote identities, reject conflicting retries, and publish a real booth snapshot without changing the source.
Big DataPythonLinux
Explain the Nearest Candidates
Turn suitable board games into a complete scaled-distance table, retain every cutoff tie, and explain the differences in original units.
Python
Separate Suitable Games from Similar Games
Build an identity-safe candidate list for a game night and define one reusable scale for comparing play time and complexity.
Python
Recommend Opening Slots with Evidence
Use explicit recording thresholds, retain tied slots, and turn comparable visitor rates into an honest recommendation and chart.
Python
Build Comparable Hourly Observations
Keep closed hours, missing observations, and real zeros distinct while building an honest hourly visitor comparison with pandas.
Python
Build a Reusable Picnic List
Combine recipe requirements, use pantry stock, and buy whole packages with a reusable Python shopping-list program.
Python
See What Random Assignment Can Change
Keep one outcome per visitor and both group sizes fixed while exploring real reproducible reassignments and plotting their observed differences.
Python
Report the Evidence Without Choosing a Winner by Habit
Enumerate the fixed signup experiment's allocation distribution, calculate a defined exact two-sided p value and report evidence without assuming a winner.
Python
Define One Outcome per Assigned Visitor
Build one binary signup outcome per assigned visitor, preserve people without events and compare seven-day signup rates by stable identity.
Python
Define What Is Known Before the Event
Build a median attendance baseline, separate earlier training workshops from later evaluation events and learn missing-value means only from training rows.
Python
Compare a Small Model with the Baseline
Fit a short leakage-aware regression Pipeline, compare continuous holdout errors with an early-median baseline and deliver truthful plots and unlabeled future forecasts.
Python
Follow Every Catalog Page
Follow every opaque catalog cursor and publish complete CSV exports safely.
Python
Read a Photo Catalog Through HTTP
Request a real local HTTP photo API and export a filtered page sample as CSV.
Python
Turn Mistakes into a Practice Round
Save stable quiz answers and independently practice only this round's mistakes.
Python
Keep Answers Correct When Choices Move
Build quiz rules that keep answer identities correct when random choices move.
Python
Make One Template Work for Every Guest
Generate complete HTML invitation batches from CSV guests, JSON events and a prepared template while preserving special characters and earlier work.
Python
Check the Paths Visitors Need
Protect a complete exhibition website with real HTTP checks and exact-package delivery.
PythonShell
Finish Queued Tickets Safely
Recover real RabbitMQ ticket work after interruptions without losing registrations or duplicating business results.
SQLitePython
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