Comprehensive coverage of Python data analysis, machine learning, deep learning, and AI techniques for real-world problem-solving
Step-by-step end-to-end data analysis pipeline from data preparation to AI deployment
Hands-on examples using Pandas, Scikit-Learn, Dask, Ray, and PySpark for scalable analytics
Covers both traditional and modern techniques including NLP, image analytics, and generative AI
Practical guidance for building scalable workflows and applying advanced analytics in business scenarios
Summarized by Shop
Understand data analysis pipelines using Python Data Analysis, machine learning, pandas, scikit-learn, and data visualization techniques. Build scalable workflows for time series, NLP, image analytics, and big data processing.
Prepare, clean, and transform data with Python, pandas, and exploratory data analysis techniques
Apply machine l
Book Cover Type
Paperback
Language
English
Genre
Technology
Target Audience
Adults
Key Tools/Libraries
Pandas, Scikit-Learn, Dask, Ray, PySpark, NLP, Image Analytics, Generative AI, Large Language Models