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https://github.com/ben74/IAMachineLearning
MachineLearning problems and resolutions
https://github.com/ben74/IAMachineLearning
artificial-intelligence artificial-intelligence-algorithms artificial-neural-networks machine-learning machine-learning-algorithms machinelearning
Last synced: 4 days ago
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MachineLearning problems and resolutions
- Host: GitHub
- URL: https://github.com/ben74/IAMachineLearning
- Owner: ben74
- Created: 2020-11-11T08:31:43.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2020-12-17T16:14:51.000Z (almost 4 years ago)
- Last Synced: 2024-08-02T20:47:37.113Z (3 months ago)
- Topics: artificial-intelligence, artificial-intelligence-algorithms, artificial-neural-networks, machine-learning, machine-learning-algorithms, machinelearning
- Language: Jupyter Notebook
- Homepage: https://alptech.dev?ln
- Size: 7.07 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# MachineLearning
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- Machine Learning problems and resolution .. implementing various machine learning models : from simple linear regression to complex neural networks in order to predict discrete or continuous variables ..
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Here are the quick notebook links if you don't have time to quick-dive into the code :
- Seattle building GHG / Electricy predictor (from LogReg to Neural Networks)
- Stack Overflow tags prediction (LDA..)
- Nlp Toxic Comment predictor (using 2020 SOTA XLM-Roberta on TPUs)
- OpenCv Ffmpeg Lightning Bolt Extractor
- Puppies : Neural Network Dog Breed Classifier
- Comparing various NLP models against classic LogReg Classifier
- Data science / visualisation / Open Food Facts Eda
- Ecommerce Customers Eda and Clustering (PCA,TSNE,Multi-dimensional Plotting)
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Please also checkout other data science / production ready machine learning topics :
- Nlp toxic comment predictor
- Cassandra : predicting Stack Overflow Tags for given question
- Puppies : Neural Network Dog Breed Classifier
- Xlnet vs Logistic Classifier comparison
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=> No time to read the code ? Wanna quick dive into the rabbit nest ? Click here for the global preview
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