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FireNotes – A Notes Taking CLI built with Google’s Fire

FireNotes Firenotes is a simple notes taking and keeping CLI just like TermiPad but in this case it is built with Google’s Python Package called Fire. Hence the name FireNotes. FireNotes offers the ability to write your notes in the terminal or command prompts with easy. How to Use FireNotes python firenotes.py — –help Check …

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Building a Registration Desktop App with Python and Tkinter

We will be building a simple registration desktop app with python and the famous python GUI builder -Tkinter.The purpose of this app is to serve as a registration system for receiving basic identification info. This is just a simple app that can be built upon with other features. Let us see the outline for our …

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data science pyramid

The Data Science Pyramid – Hierarchy of Needs

Data Science Hierarchy of Needs The Data science hierarchy of needs or pyramids  simulated after the Maslow’s Hierarchy of Needs describes the various steps and concepts needed to derive the best profits and benefits from AI actualization,”the Self Actualization”in Maslow’s hierarchy of needs and how to reach AI Actualization. It details the numerous methods,algorithms,tools and …

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Great Books For Learning Data Science In Python

        Have you every wondered why Google, Amazon, Facebook, Microsoft, Apple, Alibaba ,etc invest millions of dollars into data science and artificial intelligence? Google applies AI to almost all it services and products from search to recommendation systems on YouTube,to Google Home to Google Translate and even automatic text suggestion in G-mail. The big guys …

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Text Classification and ML Interpretation With Eli5 ,Spacy Jesse JCharis

Text Classification and ML Model Interpretation with ELi5,Sklearn and SpaCy

In this tutorial we will see how to classify text/document using machine learning and then move on to interpret our classification model with Eli5. This is the workflow we will be using in this project. Text Preprocessing We will be using spacy and basic python to preprocess our documents to get a clean dataset We …

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