Python statistical-learning Projects
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m2cgen
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
Project mention: Redis as a Database ā Data Migration With RedisOM, RedisGears and Redlock | dev.to | 2023-01-22Notice that Iām using random values to populate the Sentiment field. You might compute the values for your fields based on other fields or actually use an ML model to perform the transformation. E.g. you could make use of m2cgen to transform trained models to pure python code and load them in **RedisGears **to be executed in a *GearsBuilder *instance. Another option is to pull out the big guns and go straight to RedisAI.
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Self_Taught_Machine_Learning
I have had trouble in the past finding a place where I could learn about statistical learning algorithms, resources as to how to learn them and the code associated with it. This is my attempt at remedying that issue.
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InfluxDB
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
Python statistical-learning related posts
- Redis as a Database ā Data Migration With RedisOM, RedisGears and Redlock
- Use your decision tree model in your Javascript project today with m2cgen
- We use Rust for an opensource malware detection engine. It's great at detecting ransomwares and we want to share results and ideas with you.
- Best references for mathematical techniques in statistical learning?
Index
Project | Stars | |
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1 | m2cgen | 2,355 |
2 | Self_Taught_Machine_Learning | 18 |