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Repository of teaching materials, code, and data for my data analysis and machine learning projects.

📝 This repository recorded my NLP journey.

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A curated list of data mining papers about fraud detection.

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This toolkit is focused on interacting with popular messaging systems such as Kafka, JMS, XMS, and MQTT. After release v5.4.2 the complete toolkit will be deprecated. See the README.md file for hints to alternative toolkits.

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Essential Spark extensions and helper methods ✨😲

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aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

The Universal Storage Engine

A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.

Tutorial for creating websites w/ R Markdown

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Features selector based on the self selected-algorithm, loss function and validation method

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Some useful Tips and Tricks to speed up the data analysis process in Python.

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

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A list of conferences connected with data worldwide.

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Linked Data Visualizations Across Multiple Files

The blog post about Kubeflow, including all materials

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Probably the best curated list of data science software in Python.

A set of useful tools for competitive data science.

Scala toolchain for InfluxDB

💥 Use the latest Stanza (StanfordNLP) research models directly in spaCy

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Demo for Redis Streams

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потоковый курс "Машинное обучение и анализ данных (Machine Learning and Data Mining)" на факультете ВМК МГУ имени М.В. Ломоносова

BIMP. Batch Image Manipulation Plugin for GIMP.

A simple Spark TDD example

A curated list of awesome R packages, frameworks and software.

I will update this repository to learn Machine learning with python with statistics content and materials

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