Data Science Beginner Series

15Day 15: Complete Data Science Capstone Project | From CSV to Machine Learning Portfolio 🚀

14Stop Overfitting! Improve ML Models the Right Way | Data Science Day 14

13Model Evaluation Explained for Beginners | Accuracy, Precision, Recall & F1 Score | Day 13

12Build Your First Classification Model with Python | Logistic Regression Explained | Day 12

11Your First Regression Model in Python | Linear Regression, MAE, RMSE & R² | Data Science Day 11

10How Machine Learning Actually Works | Features, Target & Train-Test Split | Data Science Day 10

09Statistics Without Heavy Mathematics | Mean, Median, Outliers & Correlation | Data Science Day 9

08Exploratory Data Analysis with Pandas, Matplotlib & Seaborn | Data Science Day 8

07Data Visualisation with Matplotlib & Seaborn | Beginner Data Science Day 7

06Clean Messy Real-World Data with Pandas | Missing Values, Duplicates & Data Types | Day 6

05Pandas Selecting, Filtering & Transforming Data | Data Science Day 5

04Pandas for Beginners: Load and Inspect Your First DataFrame | Data Science Day 4

03NumPy for Beginners: Arrays, Vectorisation & Statistics | Data Science Day 3

02Python Essentials for Data Science Beginners | Build a Marks Analyser | Day 2

01What Is Data Science? Complete Workflow Explained for Beginners | Day 1