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  • šŸ‘‹ Hi, Iā€™m @ljh-1229
  • šŸ‘€ Iā€™m interested in data mining and neuromarketing.
  • šŸŒ± Iā€™m currently learning deep learing.
  • šŸ’žļø Iā€™m looking to collaborate on ...
  • šŸ“« How to reach me ...

ljh-1229's Projects

cookbook-2nd icon cookbook-2nd

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

cookbook-2nd-code icon cookbook-2nd-code

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

eeg-seizure-detection icon eeg-seizure-detection

code written in matlab to detect seizure state for epilepsy people using Machine learning code with eeglab

eeg-workload icon eeg-workload

EEG-workload is a pipeline for mental workload assessment using machine learning (SVM Support Vector Machine). Pipeline is based on MATLAB toolbox EEGLAB and is tested in MATLAB R2019a

jupyter icon jupyter

Jupyter metapackage for installation, docs and chat

nlpia icon nlpia

Examples and libraries for "Natural Language Processing in Action" book

pcc_3e icon pcc_3e

Online resources for Python Crash Course, 3rd edition, from No Starch Press.

practical-machine-learning-with-python icon practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

pyeeglab icon pyeeglab

Analyze and manipulate EEG data using PyEEGLab.

python-scraping icon python-scraping

Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do

saccades icon saccades

Detection of fixations and saccades in eyetracking data

statsintro_python icon statsintro_python

Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"

tawr2 icon tawr2

Text Analysis with R (Second Edition)

text-analytics-with-python icon text-analytics-with-python

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

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