AZAnastasia Zaharievainwhenmathmetdata.hashnode.dev·Nov 30, 2024 · 4 min readDay 13: Advanced EDA TechniquesWelcome to Day 13! Today, we’re building on the foundational EDA techniques we explored yesterday by diving into advanced EDA methods. These approaches help us uncover deeper insights, especially in larger or more complex datasets. Advanced EDA Tech...00
AZAnastasia Zaharievainwhenmathmetdata.hashnode.dev·Nov 29, 2024 · 4 min readDay 12: Exploratory Data Analysis (EDA) TechniquesWelcome to Day 12! Today, we’re diving into Exploratory Data Analysis (EDA), a critical step in any data science project. EDA helps us uncover patterns, relationships, and distributions within our data, providing insights to guide further analysis an...00
AZAnastasia Zaharievainwhenmathmetdata.hashnode.dev·Nov 28, 2024 · 4 min readDay 11: Feature EngineeringWelcome to Day 11! Today, we’re focusing on feature engineering, one of the most creative and impactful stages in any data science project. Feature engineering involves creating, modifying, or selecting features to improve the performance of machine ...00
AZAnastasia Zaharievainwhenmathmetdata.hashnode.dev·Nov 27, 2024 · 5 min readDay 10: Data TransformationWelcome to Day 10! Today, we’re diving into data transformation, an essential step to prepare raw data for analysis and machine learning. Data transformation includes scaling, normalizing, encoding, and reshaping data, ensuring it’s in the optimal fo...00
AZAnastasia Zaharievainwhenmathmetdata.hashnode.dev·Nov 26, 2024 · 7 min readDay 9: Cleaning Data (Handling Missing Data and Outliers)Welcome to Day 9! Today, we’re focusing on one of the most crucial steps in the data analysis process: cleaning data. This step ensures that the data is accurate, consistent, and ready for analysis. We will cover techniques for handling missing data ...00
