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nikolaismolin's Projects

amazon-sagemaker-examples icon amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

clean-code-ml icon clean-code-ml

:bathtub: Clean Code concepts adapted for machine learning and data science

clustering icon clustering

Implementation OF KMEans, KMode, Kprototype and Agllomerative Hierarchical Clustering Using Python.

gap icon gap

the gap statistics for automatically-finding-K value for K-mean clustering

gap_statistic icon gap_statistic

Dynamically get the suggested clusters in the data for unsupervised learning.

jpmml-sklearn icon jpmml-sklearn

Java library and command-line application for converting Scikit-Learn pipelines to PMML

kmodes icon kmodes

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

learningx icon learningx

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

lightgbm icon lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

markovify icon markovify

A simple, extensible Markov chain generator.

microblog icon microblog

A microblogging web application written in Python and Flask that I developed as part of my Flask Mega-Tutorial series.

ml-foundations icon ml-foundations

Machine Learning Foundations: Algebra, Calculus, Statistics & Computer Science

papis.io icon papis.io

Putting five ML models to production in five minutes

pychattr icon pychattr

Python Channel Attribution (pychattr) - A Python implementation of the excellent R ChannelAttribution library

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