"I hadn't integrated Pandas with Python before joining my company. So it's very useful to consolidate my understanding of such skill via this course. The Jupyter notebooks provided will be a valuable resource for revising the materials and are really well laid out."
JL, Data Analyst, Python for Data Science, March 2021
I. Introduction
A. Overview of GPT-3 and ChatGPT
B. Use cases and potential applications
C. Prerequisites and requirements
A. Setting up an API key and authentication
B. Basic commands and functions
C. Integration with programming languages such as Python and Java
D. Hands-on exercises and projects
A. Fine-tuning and pre-training
B. Using GPT-3 for natural language processing tasks
C. Customizing the model for specific use cases
D. Hands-on exercises and projects
A. Examples of GPT-3 and ChatGPT in action
B. Best practices and considerations for deployment
C. Discussion and Q&A with industry experts
V. Conclusion
A. Recap of key takeaways
B. Resources for further learning and development
C. Next steps and opportunities for collaboration
"I hadn't integrated Pandas with Python before joining my company. So it's very useful to consolidate my understanding of such skill via this course. The Jupyter notebooks provided will be a valuable resource for revising the materials and are really well laid out."
JL, Data Analyst, Python for Data Science, March 2021
“JBI did a great job of customizing their syllabus to suit our business needs and also bringing our team up to speed on the current best practices. Our teams varied widely in terms of experience and the Instructor handled this particularly well - very impressive”
Brian F, Team Lead, RBS, Data Analysis Course, 20 April 2022
Watch client feedback from Python training course:
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This training course provides an introduction to the core concepts of the Python language, ultimately focusing on Big Data Analytics and Machine Learning applications.
The first three days of the course introduce you to Python tools for data science, including how best to manipulate and visualise your data with Python's excellent library support.
The last two days move one step forward, providing an overview of Artificial Intelligence and Machine Learning with the purpose of implementing predictive analytics applications.
Practical exercises and interactive walk-throughs are used throughout, so attendees have the opportunity to apply the proposed concepts on real data science applications, from exploratory data analysis to predictive analytics.
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