Curso de Regression Models do Coursera

Here are some projects based on static methods of information processing. There are many different methods that you can use to process your information, depending on your needs.

#️⃣ R, Linear Regression, Inferences, Correlation Analysis, Diagnosis, Remedial Measures,, Multiple Linear Regression, Quantitative and Qualitative Predictors, Logistic Regression and Poisson Regression, FIFA 18 Players Wages Prediction, HR Attrition at IBM Prediction. 🔢

Predict near-term Capital Bikeshare availability using a random forest and Poisson regression. Display current status and predictions with leaflet.js map visualization.

CSCI5822 Probabilistic Models in Machine Learning final project [Spring 2021].

Course XCS229i in Machine Learning from Stanford University

exploring machine learning feature engineering through Scikit-Learn Cookbook 3rd Ed. and scikitlearn documentation

A case study with poisson regression

## Replicating analyses made in the study: Reyes, P. D., Baldovino, M. C., &amp; Aguiar, L. M. (2022). Urine washing in urban robust capuchin monkeys (<i>Sapajus sp. </i>): The relation with visitors. American Journal of Primatology. https://doi.org/10.1002/ajp.23381

Entry-level looks at Exploratory Data Analysis (in R & Python) and Regression Models (in R)

Cite as: Alba C, M Mittal "Socio-cultural behavioral traits in modeling the prediction of COVID-19 infection rates" Journal of Humanities and Applied Social Sciences Vol. 3 No. 5, pp. 339-355.

Hand-made R Functions Mainly for Statistical Data Analysis

The project aims at using quasi-experimental designs to estimate the impact of policy reducing speed limits in major cities, on the number of road accidents. It is based on Bayesian hierarchical modelling and Poisson regression

R programming and its application to data analysis and statistical methods

A series of Statistical Modelling assignments with the use of R. Applications of Linear, Polynomial, Logistic and Poisson Regression in various datasets

Assignment for Advanced Predictive Modeling for MSc Data Analytics