Topic: "inferencial-statistics"
28101991SUNNY/BusinessCase_Data_Exploration-
Case Studies and Projects in Machine Learning/EDA/DL
Language: Jupyter Notebook - Size: 130 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 17 - Forks: 14
28101991SUNNY/Statistics_study
about statistical techniques for Data Science
Language: Jupyter Notebook - Size: 82.7 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0
carolinaemanuele/Smoke-Detection-IoT-Kaggle
A descriptive and inferential statistical analysis from the Kaggle database on the data collected by an IoT smoke detection device. Machine learning techniques were also used to help build this smart device, increasing its accuracy.
Language: Jupyter Notebook - Size: 3.46 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0
arunp77/Statistics-fundamental
Statistics in Python: Jupyter Notebook Collection. You can find the details on Statistics and application to the machine learning algorithm at following link:
Language: Jupyter Notebook - Size: 1.32 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 1
1nfinit0/inferencialStatisticsINF
Informe para la asignatura de estadística inferencial
Language: TeX - Size: 1.7 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 1
printfSideaux/InferenciaEstatistica
Essa é minha prova de estatística estando concluindo meu segundo semestre da universidade.
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vdecafe/inferencia
Aplicación Shiny para realizar inferencias estadísticas sobre medias, proporciones y varianzas. Creada originalmente por Antoine Soetewey.
Language: R - Size: 91.8 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
KAR-NG/Predicting-House-Prices-in-Boston_UniqueVersion
Extracted statistical relationships between house prices and many factors, applicationised the 90% R2 Random Forest model that outcompeted MLR, Lasso, PLS, KNN, and DT into production.
Language: R - Size: 13.7 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
abebual/Inferential-Statistics-Frequentism
Having completed this project notebook, you will have hands-on experience: sampling and calculating probabilities from a normal distribution; the correct way to estimate the standard deviation of a population (the population parameter) from a sample; what a sampling distribution is and how the Central Limit Theorem applies; how to calculate critical values and confidence intervals; performing inference using such data to answer business questions, forming a hypthesis and framing the null and alternative hypothesis, and testing thsi using a t-test.
Language: Jupyter Notebook - Size: 115 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
