I will do regression with machine learning models in r studio and python

I offer a wide range of regression analyses including linear regression, non-linear regression, generalized regression (e.g., Poisson, logistic regression), regularized/penalized regression (Lasso, Ridge, Elastic Net), partial linear regression, and survival analysis (Cox proportional hazards model)

I primarily use R and Python for regression analysis. I also utilize statistical software such as SPSS, Excel, Minitab, MATLAB, SmartPLS, MLwiN, and EViews for comprehensive data analysis.

I offer machine learning regression models including Random Forest, Decision Tree, Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Artificial Neural Networks (ANN) for robust predictive modeling.

I ensure accuracy and reliability through meticulous data cleaning and preparation, use of advanced statistical techniques, and thorough validation of models. I also provide detailed reporting with clear interpretations and visualizations.

Yes, I can handle complex data relationships using partial linear regression and other advanced statistical models. I tailor my analysis to fit the specific needs of your data.

The report includes a comprehensive analysis with detailed interpretations, visualizations, and actionable insights. I use R Markdown and Quarto for professional and reproducible reporting.

Absolutely! I tailor my regression analysis and statistical modeling to meet your unique requirements, ensuring that the solutions provided are relevant and effective for your specific needs.

For time-to-event data, I use survival analysis techniques such as the Cox proportional hazards model to analyze and interpret the data accurately.

Regularized regression models like Lasso, Ridge, and Elastic Net help prevent overfitting by adding a penalty to the model complexity. This leads to more reliable and generalizable models.

To get started, contact me on FIVERR with your project requirements and provide your dataset. I will discuss your needs, clean and prepare the data, perform the regression analysis, and deliver a detailed report with interpretations and insights.