This series provides a comprehensive overview of data science, covering key concepts, techniques, and applications. From data collection and preprocessing to exploratory data analysis and machine learning algorithms, each post explores different aspects of the data science workflow. The final post focuses on evaluating and deploying models, ensuring their performance and usability. Whether you're a beginner or an experienced practitioner, this series will equip you with the necessary knowledge to excel in the field of data science.