В работе

machine learning word2vec and visualization

1. Gather words as many as you can at least over 100M words from the internet.

2. Find some basic statistics of the corpus and display them visually like charts.

3. Embed the words as vectors by machine learning like word2vec and display them in 2D or 3D

this is not a school assignment. I am a self-taught programmer and taking a Udemy course called Natural Language Processing with Deep Learning in Python. I had built a conference system using Python and Freepbx, and I am looking for ways to add some language features. Here I am, I'd like to see this in action where I can learn at least this can be done.

I've got Django and tensorflow working in my server and have a pythonanywhere hosting service, and completed a 70-hour Machine-learning class from a vocational school.

You will have to set up one to work out your solution in my settings, so that I can revisit as much as I need. Some documentation is also necessary.

Project budget: 200USD

Квалификация: Python, Архитектура ПО, Django, Machine Learning (ML), PHP

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О работодателе:
( 4 отзыв(-а, -ов) ) Goyang Ilsan-gu Gyeonggi-do, Korea, Republic of

ID проекта: #22577365



Hi, I'm a senior software engineer working with python. I've worked on very similar tasks using gensim and spacy and I've experience deploying NLP code on multiple platform including pythonanywhere. My delivery will i Больше

$150 USD за 7 дней(-я)
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7 фрилансеров(-а) в среднем готовы выполнить эту работу за $151


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$140 USD за 7 дней(-я)
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