google-it-automation
Andrew-NG-Notes
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4.5 | 0.0 | |
6 months ago | 3 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | - |
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google-it-automation
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Is Google IT Automation with Python course useful to take?
Here is someones notes on the cert, seems to have the practice questions and would let you see what you would learn from it... I have heard that the Google Professional Certificates are a good learn, but in terms of getting hired they are just above CompTIA certs (well for companies that aren't required to require those certs due to contracts). Basically they let someone know you paid enough attention to the class to pass it, but don't expect that someone that has it actually knows it.
Andrew-NG-Notes
What are some alternatives?
Newton-Classroom-Automation - A bot that utilizes webscraping techniques to navigate through the Google Meet interface, enter specified classes at the designated times, and exit the classes once the sessions are complete.
Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera - Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
coursera-deep-learning-specialization - Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Torrent-To-Google-Drive-Downloader-v3 - Simple notebook to stream torrent files to Google Drive using Google Colab and python3.
gdrl - Grokking Deep Reinforcement Learning
fsdl-text-recognizer-2022-labs - Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022
DeepNeuralNetworksFromScratch - Different kinds of deep neural networks (DNNs) implemented from scratch using Python and NumPy, with a TensorFlow-like object-oriented API.
strategy-ml-nn - This example shows how to use neural networks for writing a trading system on stocks.
embedml - pytorch like machine learning framework from scratch
Note - Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, Gemma, CLIP, ViT, ConvNeXt, BEiT, Swin Transformer, Segformer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.
linear-regression-from-scratch - A data science project for part II physics project E (surveying using stars)