Скачать или смотреть Day-60 done 👍🏻 365 days challenge

Welcome to Day 51 of my 365 Days Challenge, where I push myself to learn and grow in Machine Learning & AI every day! 🚀

Today, I explored three essential data analysis techniques that help us understand datasets better:

🔹 Univariate Analysis – Focusing on a single feature to examine its distribution, central tendency, and variability. This helps in identifying patterns, outliers, and data characteristics.

🔹 Bivariate Analysis – Studying the relationship between two features. This is crucial for understanding dependencies, correlations, and trends, often visualized using scatter plots, correlation matrices, or regression analysis.

🔹 Multivariate Analysis – Analyzing multiple features together to understand their combined impact on a target variable. This technique is widely used in predictive modeling and feature engineering to extract deeper insights.

Understanding these techniques is foundational for data science, machine learning, and AI, as they guide us in making informed decisions about data preprocessing, feature selection, and model building.

If you’re also on a journey to learn ML & AI, make sure to follow along, subscribe, and stay tuned for daily updates! Let’s grow together! 💡🔥

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