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alchemism-crypto-sniper-bot

Sniper bot developed to trade tokens on the Solana and EVM networks.

amazonappscraper

Collecting Apps from Online

awesome-sentiment-analysis

😀😄😂😭 A curated list of Sentiment Analysis methods, implementations and misc. 😥😟😱😤

big-data

Notebooks for Master of Data Science Rennes

bokeh

Complete Tutorial for Bokeh

cnn-text-classification

Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0

cnn-text-classifier-using-keras

Convolutional Neural Network text classifier using Keras and tensorflow backed

customer-analysis

dapp_university

Code Your Own Cryptocurrency & ICO on Ethereum | Tutorial

dat3

General Assembly's Data Science course in Washington, DC

data-science-books

data-science-ipython-notebooks

Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

dbda-python

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

deep_learning_tutorials_practice

Repo using Keras wrapper for Tensor Flow - ANN, CNN, RNN - LSTM

deeplearningfornlpinpytorch

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

efnunes.github.io

Website

gensim

Topic Modelling for Humans

hackerrank

hackerrank-1

My solutions to HackerRank problems

idbroker

Ldap ID Broker

individual-household-electric-power-consumption-data-set-

Individual household electric-power consumption Data Set (LSTM) [tutorial]

keraspoc-sentimentanalysis

Model for identification of Sentiments in texts using Multi-Layer Perceptron built using Keras API running on TensorFlow, which is served as a RESTful Service using Tensorflow Serving.

knowledgediscovery

lstm-sentiment-analysis

Sentiment Analysis with LSTMs in Tensorflow

modern-nlp-in-python

nlp-text-mining-working-examples

Full working examples with accompanying dataset for Text Mining and NLP. Current code base: Gensim Word2Vec, Phrase Embeddings, Keyword Extraction with TF-IDF and SKlearn, Word Count with PySpark

practical_statistics_for_data_scientists

This repository has the Python equivalent code for the book Practical Statistics for Data Scientists: 50 Essential Concepts, by Peter Bruce and Andrew Bruce. This 1st edition book, by O'reilly Media, is a compact reference that explains 50 of the main concepts, that every aspiring Data Scientists should know.

recurrently-happy-rnn

"Having Fun with Recurrent Neural Networks (RNNs)" - Tutorial for PyData 2017 - TensorFlow - Text [and songs] Generation

reuters-21578-classification

Text classification with Reuters-21578 datasets using Gensim Word2Vec and Keras LSTM

scipy2015-blaze-bokeh

Building Python Data Applications with Blaze and Bokeh Tutorial, SciPy 2015