Part 3: Topic Modeling and Latent Dirichlet Allocation (LDA) using Gensim and Sklearn

This article was published as a part of the Data Science Blogathon Overview In the previous two installments, we had understood in detail the common text terms in Natural Language Processing (NLP), what are topics, what is topic modeling, why it is required, its uses, types of models and dwelled deep into one of the important techniques called Latent Dirichlet Allocation (LDA). In this last leg of the Topic Modeling and LDA series, we shall see how to extract topics through […]

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Understanding Natural Language Processing -A Beginner’s Guide

This article was published as a part of the Data Science Blogathon Introduction:   Source: https://www.asksid.ai/blog/what-is-natural-language-processing/ Language is very important when we want to communicate with each other. Every human can talk and tell others what they need and listen with language. These languages can be anything like English, Spanish, Hindi, Malayalam, etc… We can express our ideas to others in this medium. Language is one of the critical components of human intelligence. Every day we interact with humans, but how about […]

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New Future of Work: How developer collaboration and productivity are changing in a hybrid work model

Episode 128 | July 14, 2021 For Microsoft researchers, COVID-19 was a call to action. The reimagining of work practices had long been an area of study, but existing and new questions that needed immediate answers surfaced as companies and their employees quickly adjusted to significantly different working conditions. Teams from across the Microsoft organizational chart pooled their unique  

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Creating a Linear Program Solver by Implementing the Simplex Method in Python

Simplex-Numpy Creating a Linear Program Solver by Implementing the Simplex Method in Python with NumPy The example in Simplex.py is : [ 0 2 1 ] A = [ 0 1 1 ] b = [ 20 18 8 ] c = [ 1 -7 -4 ] [ 0 1 0 ] And I already test some random inputs with the use of random function in Numpy: A = np.random.randint(-25, 25,size = (SIZE_MATRIX_X, SIZE_MATRIX_Y)) b = np.random.randint(-25, 25,size = SIZE_MATRIX_X) […]

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A command line tool for displaying Python source and bytecode

dis-cli Display Python source code and bytecode side-by-side at the command line dis-cli is a command line tool for displaying Python source and bytecode. Installation dis-cli can be installed from PyPI. To install via pip, run $ pip install dis-cli Usage dis-cli provides a command line program, dis, which takes a “import-like” path to a function to display information about. For example, if you have a package a, with a submodule b, containing a function c, you could run dis […]

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Chatbot for ordering and tracking a Pizza

Pizza Chatbot To start the app, follow the below steps: Clone the repo using the below command: git clone [email protected]:shreyashah115/PizzaHere.git Go to the cloned directory, create a virtaul environment and activate it: cd PizzaHere/ virtualenv -p python3 myenv source myenv/bin/activate pip3 install -r requirements.txt Start the server using the below command: python3 manage.py runserver How the chatbot works: The bot will reply to your small talk questions at the beginning of the flow as shown below, You can place a […]

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A CLI-based program that checks the file’s integrity

SHA-ZAM – Check the file hash sum Shazam is a Command Line Application that checks the integrity of one file by comparing it with a given hash. Created by: Anaxímeno Brito How Does It Work: It calculates the file’s hash sum and compares it with a given hash for checking if the file isn’t corrupted, it can also be used for calculating the hash sums and automatically save it inside one file if wanted. Shazam supports some of the most […]

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A library to make parallel selenium tests that automatically download

AutoParaSelenium A library to make parallel selenium tests that automatically download and setup webdrivers. Usage Installation pip install autoparaselenium Code The API is very simple from typing import Union from selenium import webdriver from autoparaselenium import configure, chrome, firefox, run_on, all_, Extension # All parameters are optional, but still call it once before everything configure( extensions=[ Extension(chrome=”path to chrome extension to install”), Extension(firefox=”path to firefox extension to install”), Extension(chrome=”chrome path”, firefox=”firefox path”) ], headless=True, # if there are chrome extensions, […]

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Randomization-based inference in Python

resample Randomisation-based inference in Python based on data resampling and permutation. Features Bootstrap samples (ordinary or balanced with optional stratification) from N-D arrays Apply parametric bootstrap (Gaussian, Poisson, gamma, etc.) on samples Compute bootstrap confidence intervals (percentile or BCa) for any estimator Jackknife estimates of bias and variance of any estimator Permutation-based variants of traditional statistical tests (t-test, K-S test, etc.) Tools for working with empirical distributions (CDF, quantile, etc.) Dependencies Installation requires only numpy and scipy. Installation The latest […]

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Data sampling app to csv file with python

DATA SAMPLING APP The module that allows the collection of data sampling, which is transmitted with WebSocket via WIFI or serial port for CSV file. Technologies Warning To use this module, remember that data must be transmitted via serial port or WIFI in string where each data has to be separated by a comma. “00.0000000,00.0000000,00.0000000,00.0000000” Getting Started Fork this repository and clone it on your machine. Change the directory to python-data-sampling-app where you cloned it. Module Getting Started Install requirements. […]

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