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An example on how Correlation Matrix can be displayed and clustered

Apache Spark - Turbofan Engine Degradation Simulation Data Set example in Apache Spark

Solution to Kaggle - Web Traffic Time Series Forecasting

Repository for the ICON 2017 hackathon 'multivoxel pattern analysis (MVPA) of fMRI data in Python'

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QuAI is QNAP’s AI Developer Package, for data scientists and developers, to quickly build, train, optimize and deploy machine learning models, on top of QNAP NAS.

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Talk at scipy 2018: Interactive 3d Visualization in Jupyter

When performing data science tasks, it's common to want to use data found on the internet. You'll usually be able to access this data in csv format, or via an Application Programming Interface (API). However, there are times when the data you want can only be accessed as part of a web page. In cases like this, you'll want to use a technique called web scraping to get the data from the web page into a format you can work with in your analysis.

Repository containing a dataSet and a python notebook to perform data analysis about workouts. The data was gathered from Health Graph API - Runkeeper

multithreading/multiprocessing with ipywidgets and jupyter notebooks

Forecasting Uber demand in NYC neighborhoods

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PyTorch implement of Google Deep Dream

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ECON 5253: Data Science for Economists, University of Oklahoma (Spring 2019)

Learn Python for free using open-source notebooks in Hebrew.

Source Code for McKinsey Analytics Online Hackathon

Angular + Highcharts Integration

Chatbot based on Rasa Framework

K-Means clustering - constrained with minimum and maximum cluster size

This is the code for "Neural Networks - The Math of Intelligence #4" by Siraj Raval on Youtube

Kaggle Competition notebooks

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React Conf 2017: Cross-Platform Data Visualization in React & React Native

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Materials for my Pycon 2015 scikit-learn tutorial.

Kaggle에서 진행하는 경진대회의 코드를 올려둔 공간입니다.

IEEE "Invited Talk on Deep Learning" 03/02/2018

Deep-learning seismic facies on state-of-the-art CNN architectures

Slides and code for the PyData Berlin 2018 tutorial

ML.NET Workshop to predict car sales prices

Repository of DeepNLP in 2019

DS502-AI工程师直通车课程项目，包含每一期课程学习和实践资料，同学们可以在issue中发布自己的疑问，互相交流。

A PyTorch Implementation of the paper - Choi, Woosung, et al. "Investigating u-nets with various intermediate blocks for spectrogram-based singing voice separation." 21th International Society for Music Information Retrieval Conference, ISMIR. 2020.

This is our implementation of Probabilistic Noise2Void

Machine Learning applied to Cosmological Simulations

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

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Solution for https://www.coursera.org/learn/language-processing

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(Winter 2015) Python for Data Mining mini-course.

An experiment in creating a dump of your personal browser history for analysis

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This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.