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The Bike Sharing Company wants to understand the independent variables on their past data to analyze and create a machine learning model to understand the demand of the bike and accordingly plan a business strategy.
Using three supervised learning models for predicting whether a person is a potential donor for a charity organization and performing feature importance analysis to determine the most important features that impacts someone's probability of being a donor.
Wykorzystując rstudio oraz zestawy dane ze strony https://www.gapminder.org/data/ badam tematykę dyskrminacjii kobiet na poszczególnych kontynentach i wyciągam odpowiednie wnioski
A data analytics case study that includes R to clean, analyze and process the data, Tableau to create visualizations and Google Slides in creating a presentation
This repository contains a collection of labs that explore various machine learning algorithms and techniques. Each lab focuses on a specific topic and provides detailed explanations, code examples, and analysis. The labs cover clustering, classification and regression algos, hyperparameter tuning, data-preprocessing and various evaluation metrics.