Data Science
Begin to Use Cloud Computing with Anaconda Cloud Notebook, Begin to use Cloud Computing and Anaconda Cloud Notebook with Python, Data Science and Machine Learning .
Course Description
Welcome ...
Prompt Engineering and RAG (Retrieval-Augmented Generation), Become more productive and use AI technologies more efficiently using Prompt Engineering. Future-proof your career now.
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Master Course in Data Science and Business Analytics 3.0, Data Science, Business Analytics, machine learning, Statistics, Data Analyst, Business Analyst, Data Analysis.
Course Description
Master ...
Build Custom GPT with ChatGPT: Step by Step Free Guide, Master Custom GPT ChatBots: Beginner to Pro in Easy Steps: Build Custom GPT with ChatGPT.
Course Description
Are you ready to unlock the ...
Guide to Careers in Data Science - Interview Hacks (2021), An Amazing Interview Preparation guide that includes questions & answers for people with NO experience in Data Science.
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AI Neural Insights: Deep Learning with Python, Gain mastery in neural networks, equipping yourself for cutting-edge AI applications and innovation.
Course Description
Welcome to "Deep Learning ...
Python SONAR Analytics: Acoustic Exploration Random Forest, Navigate SONAR analytics with Python, gaining practical skills to decode acoustic signals and make informed discoveries.
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Machine Learning with R, Learn how to use the R programming language for data science and machine learning and data visualization.
Course Description
Data Scientist has been ranked the number ...
Foundations of Data Science: Machine Learning and Statistics, Master the core principles of data science with essential skills in both machine learning and statistics.
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Applied Generative AI and Natural Language Processing, Understand Generative AI, Prompt Engineering, Huggingface-Models, LLMs, Vector Databases, RAG, OpenAI, Claude, Llama2.
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Build a Web Application with Python, Flask and NLP, Share the joy of famous quotes with a cloud-based web app using natural language processing to hit the right mood.
Course Description
Let's ...
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