Projekt
Hypothesis Testing with Mens and Womens Soccer Matches
- MedelnivåKunskapsnivå
- 4.3+
- 13 081 recensioner
Perform a hypothesis test to determine if more goals are scored in womens soccer matches than mens!
Sannolikhet och statistik
Projekt
Perform a hypothesis test to determine if more goals are scored in womens soccer matches than mens!
Sannolikhet och statistik
Projekt
Clean customer data and use logistic regression to predict whether people will make a claim on their car insurance!
Maskininlärning, Sannolikhet och statistik
Projekt
Perform a hypothesis test to determine if more goals are scored in womens soccer matches than mens!
Sannolikhet och statistik
Projekt
Perform hypothesis tests to determine if the adverse effects of a pharmaceutical drug are significant!
Python-programmering, Datamanipulation, Sannolikhet och statistik
Projekt
Explore transportation time series data analysis to uncover patterns and forecast travel costs.
Sannolikhet och statistik
Projekt
Use logistic regression to determine which treatment procedure is more effective for kidney stone removal.
Maskininlärning, Sannolikhet och statistik
Projekt
Analyze online shopping habits: returning vs. new customers using statistics & probability techniques!
Sannolikhet och statistik
Projekt
Step into a data scientists role and learn how to make product decisions with A/B testing in Python!
Sannolikhet och statistik
Projekt
Examine the relationship between heart rate and heart disease using multiple logistic regression.
Datamanipulation, Sannolikhet och statistik, Datavisualisering
Projekt
Dive into the world of banking transactions to uncover hidden anomalies and protect customer confidence. Ready to take on the challenge?
Sannolikhet och statistik
Projekt
Explore habitat data using factor and survival analysis tools.
Sannolikhet och statistik
Projekt
Reanalyze the data behind one of the most important discoveries of modern medicine: handwashing.
Sannolikhet och statistik
Projekt
Analyze CO2 emissions across geographical regions and fuel sources to understand environmental impacts in the energy sector.
Sannolikhet och statistik
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