Скачать или смотреть Day 4 of 30 | EDA & Feature Engineering on Spotify Dataset | Data Science Journey

Day 4 of my 30-day transformation journey from Data Analyst to Data Scientist!
Today I focused on two essential topics in the data science pipeline — Exploratory Data Analysis (EDA) and Feature Engineering.

🧠 EDA helps you understand your dataset — spotting patterns, distributions, and hidden insights.
🛠️ Feature Engineering involves transforming raw data into meaningful inputs for machine learning models.

I used ChatGPT for theory + doubt-solving and Krishnaik Sir’s one-shot video for practical understanding.
Finally, I applied everything hands-on using a Spotify dataset from Output.

✅ Topics Covered:

Data Exploration

Feature Creation

Real-world dataset practice

Data preprocessing & transformation

📅 This is part of my #30DaysOfDataScience challenge to upgrade my skills and document the journey through daily shorts.

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