Master Data Cleaning & EDA with Python in Just 90 Minutes! 🚀

📊 Exploratory Data Analysis (EDA) using Python in just 90 minutes!
This complete tutorial will take you step by step through the process of analyzing, cleaning, and preparing data for Machine Learning (ML) and AI projects.

✅ What you’ll learn in this video:

Introduction to Exploratory Data Analysis in Python

Data Cleaning in Python with Pandas & NumPy

Handling missing values and data preprocessing

Outlier detection & data wrangling

Python Data Visualization using Matplotlib & Seaborn

Preparing ML-ready datasets for Data Science & Machine Learning


🐍 Whether you’re a beginner in Python, a student, or an aspiring data scientist, this hands-on Python data analysis full course will strengthen your foundations in EDA, visualization, and preprocessing.

👉 By the end of this session, you’ll be confident in performing EDA for machine learning beginners, creating visualizations, and building datasets ready for ML models.

📌 Topics Covered:

What is EDA and why it’s important

Setting up Python environment

Data cleaning & preprocessing

Outlier treatment & data wrangling

Data visualization with Pandas, Matplotlib, and Seaborn

Preparing datasets for ML & AI

Check out PART - 2 here:

https://youtu.be/TkT4hpvSFIc?si=3y-kZDVgLdCh2h85

Link for dataset:

https://docs.google.com/spreadsheets/d/149Me2y5jM489YVzYY1c4LT3B4bwvYE3b/edit?usp=drivesdk&ouid=106396401455864005400&rtpof=true&sd=true

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