Exploratory Data Analysis (EDA) with Python – Part 1 | Data Cleaning & Basics of Machine Learning

📊 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 ✨ Don’t forget to LIKE 👍, SHARE 🔁, and SUBSCRIBE 🔔 for more tutorials on Python, Data Science, Machine Learning, and AI! #Python #DataScience #MachineLearning #EDA #DataAnalysis #DataVisualization #PythonProgramming #LearnPython #Analytics #AI #BigData #Coding #ML #ArtificialIntelligence #PythonForDataScience #Programming #DataCleaning #DataPrep #Statistics #Tech #Education