- Naive Bayes Classifier https://en.wikipedia.org/wiki/Iris_flower_data_set 3 comments learnmachinelearning
Linking pages
- GitHub - paulfitz/mlsql: inferring sql queries from plain-text questions about tables https://github.com/paulfitz/mlsql 54 comments
- GitHub - DivineOmega/eloquent-attribute-value-prediction: Predict attribute values for your Laravel Eloquent models using machine learning! https://github.com/divineomega/eloquent-attribute-value-prediction 32 comments
- ML Basics: K Nearest Neighbors http://www.thagomizer.com/blog/2017/09/13/ml-basics-k-nearest-neighbors.html 31 comments
- Your First Machine Learning Project in Python Step-By-Step https://machinelearningmastery.com/machine-learning-in-python-step-by-step/ 11 comments
- The Data Science Workflow. Suppose you are starting a new data… | by Konstantin | Towards Data Science https://medium.com/@kt.era.ee/the-data-science-workflow-43859db0415 9 comments
- A Quick Easy Guide to Deep Learning with Java - Building Neural Network | opencodez http://www.opencodez.com/java/deeplearaning4j.htm 4 comments
- We are DataChef | Machine Learning with Julia on AWS SageMaker https://beta.datachef.co/blog/machine-learning-with-julia-on-aws-sagemaker/ 4 comments
- Walk-through: Implementing a Random Forest Classifier for the first time – Josh Lawman http://joshlawman.com/implementing-the-random-forest-classifier-from-sci-kit-learn/ 3 comments
- xda/README.md at master · ujjwalkarn/xda · GitHub https://github.com/ujjwalkarn/xda/blob/master/README.md 3 comments
- Introducing xda: R package for exploratory data analysis | R-bloggers http://www.r-bloggers.com/introducing-xda-r-package-for-exploratory-data-analysis/ 3 comments
- Model training walkthrough | Swift for TensorFlow https://www.tensorflow.org/swift/tutorials/model_training_walkthrough 2 comments
- Evolving Neural Net classifiers - Gokberk Yaltirakli https://gkbrk.com/2019/05/evolving-neural-net-classifiers/ 1 comment
- Estadistika https://estadistika.github.io/julia/python/packages/knet/flux/tensorflow/machine-learning/deep-learning/2019/06/20/Deep-Learning-Exploring-High-Level-APIs-of-Knet.jl-and-Flux.jl-in-comparison-to-Tensorflow-Keras.html 1 comment
- Sowing a (Decision) Tree - Noise On The Net https://noiseonthenet.space/noise/2024/05/sowing-a-decision-tree 1 comment
- Turning a Google Colab Notebook into a Web App https://anvil.works/learn/tutorials/google-colab-to-web-app 0 comments
- Building a neural network from scratch in R · Tea & Stats http://selbydavid.com/2018/01/09/neural-network/ 0 comments
- K-nearest neighbors from scratch - Philipp Muens https://philippmuens.com/k-nearest-neighbors-from-scratch/ 0 comments
- A Random Sampling Library for Clojure – The Official Blog of BigML.com http://blog.bigml.com/2013/01/22/a-random-sampling-library-for-clojure/ 0 comments
- Introducing Grimoire: A Data Centric Blogging Platform - DEV Community 👩💻👨💻 https://dev.to/banjtheman/introducing-grimoire-a-data-centric-blogging-platform-5amj 0 comments
- ElastiK Nearest Neighbors. Combining Locality-Sensitive Hashing… | by Alex Klibisz | Insight https://blog.insightdatascience.com/elastik-nearest-neighbors-4b1f6821bd62 0 comments
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