Spotify_Song_Recommender
StravaKudos
| Spotify_Song_Recommender | StravaKudos | |
|---|---|---|
| 3 | 1 | |
| 28 | 9 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 2 years ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | - |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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
StravaKudos
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ML Projects for a resume
Bit of a shameless plug here but I’ve got a few projects on my GitHub that really helped me land interviews. Feel free to take a look: https://github.com/jackmleitch/StravaKudos. Projects are also absolutely fantastic for answering the “tell me about a time…” questions. Just pick something to enjoy and make something out of it!
What are some alternatives?
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handson-ml - ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
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Bayesian-Optimization-in-FSharp - Bayesian Optimization via Gaussian Processes in F#
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mango - Parallel Hyperparameter Tuning in Python
awesome-data-centric-ai - Open-Source Software, Tutorials, and Research on Data-Centric AI 🤖
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
feature-engineering-tutorials - Data Science Feature Engineering and Selection Tutorials
machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.