English | 2023 | ISBN: 979-8385699681 | 173 Pages | PDF, EPUB | 10 MB
Essential Python libraries and frameworks that every aspiring data scientist, ML engineer, and Python developer should know.
“Python is not just a language, it’s a community where developers can learn, collaborate and create wonders.”
~ Guido van Rossum (Creator of Python)
The following libraries and frameworks are covered in this book:
A BRIEF HISTORY OF PYTHON PROGRAMMING LANGUAGE
- DATA SCIENCE
- PANDAS
- NUMPY
- SEABORN
- SCIPY
- MATPLOTLIB
- MACHINE LEARNING
- SCIKIT-LEARN
- PYTORCH
- TENSORFLOW
- XGBOOST
- LIGHTGBM
- KERAS
- PYCARET
- MLOPS
- MLFLOW
- KUBEFLOW
- ZENML
- EXPLAINABLE AI
- SHAP
- LIME
- INTERPRETML
- TEXT PROCESSING
- SPACY
- NLTK
- TEXTBLOB
- CORENLP
- GENSIM
- REGEX
- IMAGE PROCESSING
- OPENCV
- SCIKIT-IMAGE
- PILLOW
- MAHOTAS
- SIMPLEITK
- WEB FRAMEWORK
- FLASK
- FASTAPI
- DJANGO
- DASH
- PYRAMID
- WEB SCRAPING
- BEAUTIFULSOUP
- SCRAPY
- SELENIUM
A PRIMER TO THE 42 MOST COMMONLY USED MACHINE LEARNING ALGORITHMS (WITH CODE SAMPLES)
MINDFUL AI
INSIDE ALAN TURING: QUOTES & CONTEMPLATIONS
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