machine-learning
Machine-Learning-Specialization-Coursera
| machine-learning | Machine-Learning-Specialization-Coursera | |
|---|---|---|
| 1 | 6 | |
| 0 | 2,704 | |
| - | - | |
| 2.6 | 4.1 | |
| over 2 years ago | 13 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | MIT License |
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machine-learning
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Am I correctly learning the DNN model?
Please, tell me something if I'm doing wrong. My solution is here on Github.
Machine-Learning-Specialization-Coursera
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Linear Algebra for Programmers
I cannot recommend Andrew Ng's courses on Machine Learning enough. Something like this seems like it would cover everything you're looking for.
https://www.coursera.org/learn/machine-learning
I cannot speak to the author of the content of this github repo, but it appears they have completed the course and included all of the solutions here. It might let you jump right to what you're looking for.
https://github.com/greyhatguy007/Machine-Learning-Specializa...
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Stupid question but help with Andrew Ng course
github link : GitHub - greyhatguy007/Machine-Learning-Specialization-Coursera: Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
- Machine Learning Specialization
- Alternatives to Andrew Ng's Machine Learning course on Coursera
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Is there no way to do the labs exercises on Coursera unless I pay for it?
Found this and it may have some of the labs https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera
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I'm a highly motivated undergrad from a 3rd world country who is unable to afford the paid version of new Andrew NG course. What can I do about the labs?
https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera This guy has added all the quizzes and labs of this course.
What are some alternatives?
Knet.jl - Koç University deep learning framework.
Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions - Solutions of Reinforcement Learning, An Introduction
rtdl - Research on Tabular Deep Learning (Python package & papers) [Moved to: https://github.com/Yura52/rtdl]
cs229-2018-autumn - All notes and materials for the CS229: Machine Learning course by Stanford University
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
Spotify_Song_Recommender - This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.
intent_based_chatbot - An intent-based chatbot in python with tflearn and TensorFlow. It can be trained for a specific purpose and works well within that specific scope.
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
Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera - Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
handson-ml - ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Car-Price-Prediction - A machine learning project that predicts the price of used cars in the UK
machine_learning_basics - Plain python implementations of basic machine learning algorithms