Python Data Science Coding Challenges: AI Foundational

Dive into 111+ challenges that push your technical skills to new heights. This powerhouse guide takes you through every critical phase of the AI data pipeline — from data acquisition, cleaning, and validation to exploratory analysis, feature engineering, and extraction. You’ll scrape complex e-commerce sites, optimize sluggish SQL queries, parse massive CSV and JSON files, and master real-time data streaming — all while building resilient ETL pipelines that thrive under pressure. Each chapter throws you into hands-on missions that simulate the demands of production-level AI systems.

Then, you’ll step into the next tier of expertise: handling missing data, detecting anomalies, transforming messy inputs, and cleaning text at scale. Discover the secrets of statistical profiling, build stunning visualizations, and uncover hidden relationships between variables. Dive deep into dimensionality reduction, feature scaling, categorical encoding, and time-based feature crafting to boost your models’ accuracy and performance. With advanced techniques like TF-IDF, Word2Vec, CNN-based feature extraction, and audio spectrogram processing, this book arms you with end-to-end mastery. Start today!