Machine Learning and AI with Python and Jupyter Notebook

Colleagues, the  Essential Machine Learning and AI with Python and Jupyter Notebook program shows you how AWS and Google Cloud Platform can be used to solve real-world business problems in Machine Learning and AI. It covers how to get started with Python via Jupyter Notebook, and then proceeds to dive into nuts and bolts of Data Science libraries in Python, including Pandas, Seaborn, scikit-learn, and TensorFlow. EDA, or exploratory data analysis, is at the heart of Machine Learning;. Software engineering fundamentals tie the series together, with key instruction on linting, testing, command-line tools, data engineering APIs. Learn Data Science concepts and Python fundamentals for Machine Learning, how to develop a Data Engineering API with Flask and Pandas,EDA, Python and AWS, and understand both Python and Google Cloud Platform. Training modules address: 1) Data Science Coding with Python Fundamentals, 2) Applying Functions, 3) Python Control Structures, 4) Deploying Libraries in Python, 5) Python Classes, 6) IO Operations in Python and Pandas, 7) Software Carpentry, 8) Data Engineering API with Flask and Pandas, 9) Social Power NBA EDA and ML Project, 10) Intermediate Machine Learning, 11)  Python based AWS Cloud ML and AI Pipelines, 12) Python based Google Compute Platform ML and AI Pipelines,  13) Command-line Machine Learning Tools, and 14) Datascience: Case Study Social Power in the NBA. 

Enroll today (individuals & teams welcome): https://tinyurl.com/2s246wzm 

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy