Sinem Atak·Mar 3, 2025Conjoint Analysis ProjectWe’ll explore a fascinating dataset from Lobster Land, a theme park, covering their operations from Memorial Day to Labor Day 2023. It was…
Fabiana Souza·Feb 10, 2025Transformando dados categóricos com o método get_dummies(), do PandasOi, tudo certo? 👋
Parviz Pirizade·Dec 17, 2024Understanding Categorical Encoding: get_dummies() vs OneHotEncoderWhen working with machine learning models, converting categorical data into numerical formats is essential. Categorical encoding is the…
RamTacenda·Feb 18, 2024Three must know Encoding Techniques that Will Make You a Machine Learning Pro!A Comprehensive understanding of categorical data and three handling techniques that you must know as a beginner to Machine learning
Mayank Singh Jadon·Jan 10, 2024Label Encoding vs. One-Hot Encoding vs. Get DummiesHey mate, how’s it going? Doing well in Exploratory Data Analysis (EDA)? Have you ever found columns where there are only True or False, or…
Happy C·Dec 23, 2023【Machine Learning】3：Feature Engineering and Data ImputationWhat you will learn in this article
Muskan Sharma·Apr 14, 2023Using get_dummies() in Pandas dataframe for Machine Learningget_dummies() is used in Pandas to convert categorical variables into numerical data and improve the performance of machine learning…
Lucas Leal·Jan 16, 2023Tratando variáveis categóricas em projetos de Ciência de DadosQuem já recebeu o erro "ValueError: could not convert string to float…" sabe a importância de tratar variáveis categóricas. Segue 5 dicas!
BuddhaReddy Polepelli·Dec 19, 2022Label Encoding Vs One hot EncodingMachines understand numbers, not text. We need to convert each text category to numbers in order for the machine to process them using…
