Examples and demos showing how to call functions from the NAG Library for Python

Compute multiple types of correlations analysis (Pearson correlation, R^2 coefficient of linear regression, Cramer's V measure of association, Distance Correlation,The Maximal Information Coefficient, Uncertainty coefficient and Predictive Power Score) in large dataframes with mixed columns classes(integer, numeric, factor and character) in para…

Cardiovascular Disease Prediction using NHANES dataset, leveraged (dk what not) classifiers such as SVM, LR, RF, XGBoost, KNN, C5, BaggedCART, etc. Shiny UI for showcasing predictions

Project of Data Visualization COM-480 of InsightSquad

Data Analysis with Python project from freeCodeCamp (3 of 5)

Useful graphs for financial projects

Predicting house prices in Boston using the XGBoost regressor model.

A speed dating analysis

This repository includes a small project that includes main ML topics as a reference.

A mini paper in machine learning which determines factors that affect Twitch stream views. Data obtained from Kaggle.

Advanced Machine Learning

Utilizando-se a técnica de regressão linear, com o auxílio do framework scikit-learn, foram realizados dois projetos nos quais foram utilizados dois databases diferentes (um de consumo de cerveja, e outro do preço de imóveis). Utlizando-se ambos, foi possível prever o consumo de cerveja e o preço dos imóveis, com base nas variáveis explanatórias.

IU Lessons

Sales Pipeline Conversion in a SAAS Startup

Exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often using statistical graphics and other data visualization methods. In this exercise, iris data was visualized using box plots, pairplot, subplot, and scatter plots for better comprehension of the dataset.

R package for statistics of eigenvalue dispersion indices

Data Analysis for Bellabeat, extracting valuable insights on consumer smart device usage. The findings informed impactful marketing strategies, showcasing expertise in data analysis, problem-solving, and effective communication of insights.

it is a comprehensive collection of data analysis and visualizations. It cover a wide range of scenarios, from exploring employee productivity and landscaping job completion times to assessing the overall productivity of a business.

House Rate Predictor