Spotify_Song_Recommender
handson-ml
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| Spotify_Song_Recommender | handson-ml | |
|---|---|---|
| 3 | 1 | |
| 28 | 25,090 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 2 years ago | 7 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
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Spotify_Song_Recommender
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Spotify Song Recommender that uses Data Science Modeling
You can find the github project Here. To run the code, download the notebook file (.ipynb) and load it in google colab. Once you have it loaded, there are step by step instructions in the notebook. The code is pretty easy to run and just requires some link copy and pasting, so I would so programming experience is not required.
- Spotify Song Recommender
handson-ml
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need a book recommendation for machine learning on python
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow is often recommended. You can check out the GitHub repo first: https://github.com/ageron/handson-ml
What are some alternatives?
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
AeroPython - Classical Aerodynamics of potential flow using Python and Jupyter Notebooks
Bayesian-Optimization-in-FSharp - Bayesian Optimization via Gaussian Processes in F#
mango - Parallel Hyperparameter Tuning in Python
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
StravaKudos - :running: :dart: Predicting Strava Kudos on my own activities using the given activity's attributes.
Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
python-machine-learning-book-3rd-edition - The "Python Machine Learning (3rd edition)" book code repository
feature-engineering-tutorials - Data Science Feature Engineering and Selection Tutorials
weightless_NN_decompression - Proof of concept for neural network decompression without storing any weights