All Projects → danwiesenthal → Naive-Bayes-Evening-Workshop

danwiesenthal / Naive-Bayes-Evening-Workshop

Licence: other
Companion code for Introduction to Python for Data Science: Coding the Naive Bayes Algorithm evening workshop

Programming Languages

python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to Naive-Bayes-Evening-Workshop

Melusine
Melusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".
Stars: ✭ 222 (+865.22%)
Mutual labels:  datascience, nlp-machine-learning
Machine-learning
This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates
Stars: ✭ 27 (+17.39%)
Mutual labels:  datascience, nlp-machine-learning
vlainic.github.io
My GitHub blog: things you might be interested, and probably not...
Stars: ✭ 26 (+13.04%)
Mutual labels:  datascience, nlp-machine-learning
schrutepy
The Entire Transcript from the Office in Tidy Format
Stars: ✭ 22 (-4.35%)
Mutual labels:  datascience, nlp-machine-learning
cookiecutter-modern-datascience
Start a data science project with modern tools
Stars: ✭ 136 (+491.3%)
Mutual labels:  datascience
Entity Embedding
Reference implementation of the paper "Word Embeddings for Entity-annotated Texts"
Stars: ✭ 19 (-17.39%)
Mutual labels:  nlp-machine-learning
presto-kubernetes
Running Presto on k8s
Stars: ✭ 38 (+65.22%)
Mutual labels:  datascience
Sumrized
Automatic Text Summarization (English/Arabic).
Stars: ✭ 37 (+60.87%)
Mutual labels:  nlp-machine-learning
Multi-Type-TD-TSR
Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:
Stars: ✭ 174 (+656.52%)
Mutual labels:  nlp-machine-learning
anuvada
Interpretable Models for NLP using PyTorch
Stars: ✭ 102 (+343.48%)
Mutual labels:  nlp-machine-learning
Engine
The Centrifuge process, filter and saves the relevant documents as recommendations to the relevant users
Stars: ✭ 20 (-13.04%)
Mutual labels:  nlp-machine-learning
DeepLearningReading
Deep Learning and Machine Learning mini-projects. Current Project: Deepmind Attentive Reader (rc-data)
Stars: ✭ 78 (+239.13%)
Mutual labels:  nlp-machine-learning
Free-Courses-on-Data-Science
No description or website provided.
Stars: ✭ 24 (+4.35%)
Mutual labels:  datascience
empythy
Automated NLP sentiment predictions- batteries included, or use your own data
Stars: ✭ 17 (-26.09%)
Mutual labels:  nlp-machine-learning
k3ai
A lightweight tool to get an AI Infrastructure Stack up in minutes not days. K3ai will take care of setup K8s for You, deploy the AI tool of your choice and even run your code on it.
Stars: ✭ 105 (+356.52%)
Mutual labels:  datascience
topic modelling financial news
Topic modelling on financial news with Natural Language Processing
Stars: ✭ 51 (+121.74%)
Mutual labels:  nlp-machine-learning
Deception-Detection-on-Amazon-reviews-dataset
A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy without using any deep learning techniques.
Stars: ✭ 42 (+82.61%)
Mutual labels:  nlp-machine-learning
Very-deep-cnn-tensorflow
Very deep CNN for text classification
Stars: ✭ 18 (-21.74%)
Mutual labels:  nlp-machine-learning
deep-semantic-code-search
Deep Semantic Code Search aims to explore a joint embedding space for code and description vectors and then use it for a code search application
Stars: ✭ 63 (+173.91%)
Mutual labels:  nlp-machine-learning
2018-datascience-lectures
Lecture content for Intro to Data Science 2018
Stars: ✭ 32 (+39.13%)
Mutual labels:  datascience

Naive Bayes Evening Workshop

Welcome!
This repo is meant to serve as accompanying material to the Introduction to Python for Data Science: Coding the Naive Bayes Algorithm evening workshop.

Following along

If you'd like to follow along by reading this code here on GitHub, that's wonderful, and no more is needed; you're in the right place. :)

If you'd also like to follow along on your own computer with Python installed, you'll want to clone or download this repo. Clone or download this repo into, say, a directory called evening_workshop. Then in your terminal you'll want to run:

cd evening_workshop/
python run.py

To make it easier to run and follow along, there are intentionally no dependencies other than Python itself.

Further, this code has been tested on both Python 2 and 3, so you should be fine with either. That said, it is intended for use with Python 3, since that's the future. ;)

Lastly, keep in mind that this code is written in a way that is more geared towards interpretability than performance.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].