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A technical blog about Data Science

Data Science, Deep Learning, Machine Learning, NLP

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Author: galinablokh

Shortly about me: Masters' degree gave me knowledge about math, statistics, economics, and business areas. Machine learning and deep-learning techniques are my domain field of work. I'm passionate about data, research, and coding.

How To Execute Python Modules From Java.

This tutorial is based on macOSX with an M1 chip for Python 3.8/3.9 and Java 11. Intro. From my practice, one … More

Data Science, java, jep, machine learning, production, python

Deploy an NLP pipeline. Flask+Heroku+Bert.

A simple, quick solution to deploy an NLP project and challenges you may face during the process. Intro. Very often, … More

deployment, flask, heroku, Natural language processing, NLP, Programming, python, server, transfer learning

Hugging Face DistilBert & Tensorflow for Custom Text Classification.

How to fine-tune DistilBERT for text binary classification via Hugging Face API for TensorFlow. Intro. In this tutorial, you will … More

Bert, Hugging Face, NLP, python, tensorflow, transfer learning, transformers

NLP: Text Pre-processing and Feature Engineering. Python.

Pre-process text data, create new features (including target variable for binary classification) with Python: Numpy, Pandas, Regex, Spacy, and Tensorflow. … More

Data Science, feature engineering, numpy, Programming, python, Software development, spacy, tensorflow

Web Scraping With No Effort. Python: BeautifulSoup, Grequests.

How to build a web scraper with BeautifulSoup and asynchronous HTTP requests (Grequests) Introduction. It is my first tutorial about … More

Data Science, Grequests, Programming, python, Web Scrapping

Python Selenium: Scraping A Recipe Website

Data science insights while you scrapping a platform for data science practice. Introduction. This time I will explain (with full … More

Data Science, Programming, python, Selenium, Web Scrapping

Python 2 vs 3 in 20 minute talk.

The fascinating quest of figuring out the difference between. Let’s start with the background of this race for the truth. … More

python, python2vs3, python3, pythonhystory
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