Python class that builds a vocabulary and computes tf-idf scores

Hi, I can help you develop python class that builds vocabulary and computes tfidf score My experiences includes but are not limited to Python, Machine Learning, Deep Learning, NLP and Statistics Let us discuss this in detail over chat Best Regards

Hello? How are you? Thanks for posting this job. I am a Senior Python developer with 7+ years. I have been doing this kind of python projects many times. Please let me know. Best Regards

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Greetings! I'm Julio Trasferetti, experienced Programmer and Computer Scientist. My past work experience includes more than 10 years with Python. I've read your description and I feel confident to help you. My workflow is very transparent and communication is the base. Bests, - J

Hello. I have 10+ years Python development experience. I know what is tf-idf. I can start immediately and can deliver your code very quickly. Hope we can work together on this.

Hi I am a python based nlp developer. I am familiar with nltk , scikit-learn etc. I think I can help you with the task. Contact me if interested. Regards.

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Hi, I can find the TF-IDF of words using sparse matrix in python, which is fastest way to process the matrix which have more zeros than real values like word counts matrix, because of the words from vocabulary have 0 count in documents. I have already done this project in python so i can do it within few hours. We can discuss more in chat. If you would like to discuss project with me please contact me Thank you Muhammad Shafeeq

I'm a software engineer with two years of work experience in a company consisting of 3000 people. My main skill is python and Django development. I've done this job so many times, I can do it right away.

Hi, It is easy,I can do on time.I work online, where you can track progress of your project.I have 6 years of experience in development(websites,web applications,mobile apps, desktop applications,UI/UX), using PHP, WordPress, Java, Python, JavaScript, ReactJs, Bootstrap, I can start now, please come to chat, to discuss more.