chepet Goto Github PK

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chepet's Projects

buildingmachinelearningsystemswithpython

Source Code for the book Building Machine Learning Systems with Python

categorical-encoding

A library of sklearn compatible categorical variable encoders

channel-sensor-error-detection

This repo outlines a method for differentiating between anomalies and expected outliers using the Microsoft Anomaly Detection API and Binary Classification to assist with Time Series Filtering.

char-embeddings

A repository containing 300D character embeddings derived from the GloVe 840B/300D dataset, and uses these embeddings to train a deep learning model to generate Magic: The Gathering cards using Keras

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-learning-with-keras

Code repository for Deep Learning with Keras published by Packt

dl_labs

eco_tast

fasttextmodelloader

Facebook's fasttext tech

feature-selector

Development and implementation of the feature selector

gensim

Topic Modelling for Humans

h2o

For the "Practical Machine Learning with H2O" book, to be published by O'Reilly (ISBN, etc. coming soon)

imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.

industrial_machine_learning

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

kaggle-ensemble-guide

Code for the Kaggle Ensembling Guide Article on MLWave

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

keras-hello-world

ldaworkshop

LDA workshop presented by Fast Forward Labs

lenta_ai

Нейронная сеть, генерирующая фейковые заголовки новостей в стиле Ленты.ру

machine-learning-project-walkthrough

An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!