Frédéric Malle: The First Twenty Years: open book

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“My work is the beauty of Paris, the life of New York.”

A look at what make French, Italian, and English colognes unique.

Frédéric Malle: The First Twenty Years: open book

French, Italian, English Cologne - Tailor & Barber

Jean Paul Gaultier Le Male EDT 4.2 oz. - Made in France NO BOX Authentic! This fragrance is separated from a three piece set. Jean Paul Gaultier Le

Frédéric Malle: The First Twenty Years: open book

Jean Paul Gaultier Le Male EDT 4.2 oz. - Made in France NO BOX Authentic!!!Rare.

Frédéric Malle: The First Twenty Years: open book

The Vintage Perfume Vault: Perfume Bottle Copy Cats: Perry Ellis 360 and Lucien LeLong's Tailspin

Hangtime coding challenge. Contribute to hangtime/coding-challenge development by creating an account on GitHub.

Frédéric Malle: The First Twenty Years: open book

coding-challenge/events.json at master · hangtime/coding-challenge · GitHub

Frédéric Malle: The First Twenty Years: open book

Le Mâle Sandra's Closet

Contribute to gardhi/DataMiningAthens development by creating an account on GitHub.

Frédéric Malle: The First Twenty Years: open book

DataMiningAthens/FilteredData/NewYorkOneWeekFiltered/NewYork-2015-2-23 at master · gardhi/DataMiningAthens · GitHub

Backup for our Data. Contribute to TextyML/Data development by creating an account on GitHub.

Frédéric Malle: The First Twenty Years: open book

Data/newsDB.json at master · TextyML/Data · GitHub

Contribute to Adriandmen/2sable development by creating an account on GitHub.

Frédéric Malle: The First Twenty Years: open book

2sable/dictionary.py at master · Adriandmen/2sable · GitHub

Code for stock movement prediction from tweets and historical stock prices. - stocknet-code/res/vocab.txt at master · yumoxu/stocknet-code

Frédéric Malle: The First Twenty Years: open book

stocknet-code/res/vocab.txt at master · yumoxu/stocknet-code · GitHub

This project is an experiment to find if a tweet is sarcastic and Brown clustering of similar words, topics association with sarcasm - used to generate feature vectors, POS - tagging, n-gram feature vector generation, sentiment analysis of the tweets and scoring based on positivity(negativity) of the words in a tweet to find the mix of positive sentiment and negative actions are some of the techniques used to identify sarcasm. The 'kitchen sink' of a mix of these features helped us achieve close to ~58% accuracy. Languages - JAVA, Python, iPython - NLP_Sarcasm_Detection/normal_tweets.csv at master · deepakkumar-b/NLP_Sarcasm_Detection

Frédéric Malle: The First Twenty Years: open book

NLP_Sarcasm_Detection/normal_tweets.csv at master · deepakkumar-b/NLP_Sarcasm_Detection · GitHub

Latent Dialogue Model with Answer Clustering. Contribute to KevinFang97/ano development by creating an account on GitHub.

Frédéric Malle: The First Twenty Years: open book

ano/test/data/vocab.json at master · KevinFang97/ano · GitHub

Frédéric Malle: The First Twenty Years: open book

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