Modelling and Inference of MICrobiomes Project (MIMIC) is a Python package dedicated to simulate, model, and predict microbial communities interactions

Deterministic algorithms for objective Bayesian inference and hyperparameter optimization

Implementation of algorithms such as normal equations, gradient descent, stochastic gradient descent, lasso regularization and ridge regularization from scratch and done linear as well as polynomial regression analysis. Implementation of several classification algorithms from scratch i.e. not used any standard libraries like sklearn or tensorflow.

In this project I built machine learning models using Multiple Linear Regression, Ridge regression, Lasso regression, Elasticnet regression and then created a pickle file of the regression model which gave best accuracy

Presentation-Ready Data Summary and Analytic Result Tables

Regression model building and forecasting in R

Implementação do Trabalho de conclusão de curso, com o tema definido "Aproximação da cinemática inversa de um robô manipulador didático através de algoritmos de aprendizado de máquina"

How weather directly impacts renewable energy generation.

Personal notes during reading "An R Companion to Applied Regression"

My portfolio website regarding data science projects. Some visualization and analysis projects reflect work for PITAPOLICY clients.

Dynamic Modeling and Machine Learning Environment

Hybrid Machine Learning and Mechanistic Thermal Model of Synchronous Generator

A collection of 8 Applied Data Science projects.

The objective of this project is to predict insurance charges based on various factors.

BAyesian Model-Building Interface (Bambi) in Python.

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

👩‍💻This repository contains implementations of various machine learning algorithms, along with example datasets and Jupyter Notebook files for demonstration.

📊 Computation and processing of models' parameters

Python scripts with solutions for different Machine Learning tasks

Enhancing {ggplot2} plots with statistical analysis 📊📣