Скачать или смотреть Exploratory Data Analysis (EDA) with Python – Part 2 | Data Wrangling, Visualization & ML Prep

📊 Exploratory Data Analysis (EDA) with Python – Part 2 (60 mins) 🐍
This tutorial continues our journey into data analysis with Python, focusing on data cleaning, preprocessing, visualization, and preparing ML-ready datasets for Machine Learning projects 🚀

✅ What you’ll learn in this Part-2 video:

Advanced data cleaning in Python with Pandas & NumPy

Handling missing values and outliers

Data wrangling techniques for structured datasets

Python data visualization tutorial with Matplotlib & Seaborn

How to make your dataset ready for ML & AI

If you missed Part 1, watch it here

👉    • Exploratory Data Analysis (EDA) with Pytho...  

Datasets:

https://docs.google.com/spreadsheets/...

https://docs.google.com/spreadsheets/...

🎯 By the end of this tutorial, you’ll have hands-on experience in performing end-to-end Exploratory Data Analysis (EDA) in Python and preparing data for Machine Learning.

✨ This is perfect for students, Python beginners, and aspiring data scientists who want a complete EDA Python tutorial.

📌 Topics Covered Across Both Parts:

Exploratory Data Analysis in Python

Data Cleaning & Preprocessing

Missing Value & Outlier Treatment

Data Wrangling with Pandas

Python Data Visualization (Matplotlib & Seaborn)

Preparing Datasets for Machine Learning


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