Data Science
Build Real World Data Science Project From Start, Build Real World Data Science Project & Machine Learning From Start.
Data science is the field of study that combines domain expertise, ...
Data Science Projects 2 - Data Analysis & Machine Learning, Learn how to build Data Science Projects with Python. Regression, Classification, NLP. Not for beginners.
Welcome to the Data ...
Fisher Discriminant Analysis: Data Science on Python, Learn to apply Fisher Discriminant Analysis on Python from a Data Science expert. Code templates included.
Course Description
You’ve ...
Data Science Projects 3 - Data Analysis & Machine Learning, Learn how to build Data Science Projects with Python. Classification, Time-Series and NLP Projects. Not for beginners.
Course ...
Generative AI: Techniques, Applications, and Ethics, Understand the art and science of Generative AI to create intelligent, data-driven models for innovative applications.
Description
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You'll Learn To Use ChatGPT To Supercharge Your Content, Social Media & Ecommerce. 3 in 1 CHATGPT Course.
Description
Are you looking to enhance your skills in content creation, ...
Optical Character Recognition for Table Extraction from PDF, Building and deploying a PDF to Excel system using PaddleOCR and Fastapi.
Description
Optical Character Recognition (OCR) ...
Meeshkan: Machine Learning The Github Api, Learn how to plan, deploy and run a Machine Learning problem on AWS and Meeshkan.
In this course, Meeshkan C.E.O. Mike Solomon will teach you how to do ...
Basics of Numpy for Data Analysis & Data Science, Learn fundamentals of Numpy , frequent used Numpy statistical functions with the help of real-world use-cases.
Description
Data ...
Keras Deep Learning & Generative Adversarial Networks (GAN), Learn From the Scratch to Expert Level: Deep Learning & Generative Adversarial Networks (GAN) using Python with Keras.
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Advanced Data Analysis using Wavelets and Machine Learning, Machine Learning, Data-Driven Engineering, Wavelet Analysis, Fourier Transforms, and Dynamical Systems.
Description
Welcome to ...
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