How to mine newsfeed data and extract interactive insights in Python

Posted on mer. 15 mars 2017 in NLP • Tagged with Data science, Python, tf-idf, LDA, Kmeans,, NLP, Topic mining, Text Clustering, BokehLeave a comment

In this tutorial we'll dive in Topic Mining. We'll analyze a dataset of newsfeed extracted from more than 60 sources. We'll show how to process it, analyze it and extract visual clusters from it. We'll be using great python tools for interactive visualization, topic mining and text analytics.
All the code is available to you to run and test. No bullshit.

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How to score 0.8134 in Titanic Kaggle Challenge

Posted on mer. 10 août 2016 in Kaggle • Tagged with Kaggle, Titanic, Data science, Python, Solution, TutorialLeave a comment

The Titanic challenge on Kaggle is a competition in which the task is to predict the survival or the death of a given passenger based on a set of variables describing him such as his age, his sex, or his passenger class on the boat.
I have been playing with the Titanic dataset for a while, and I have recently achieved an accuracy score of 0.8134 on the public leaderboard.
As I'm writing this post, I am ranked among the top 4% of all Kagglers: More than 4540 teams are currently competing.
This post is the opportunity to share my solution with you.

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Welcome !

Posted on sam. 05 mars 2016 in Random, Data Science • Tagged with Machine Learning, Data Science, NLP, Dataviz, AnalyticsLeave a comment

Welcome to my blog!

My name is Ahmed. I'm a junior data scientist living in France. This blog is a personal project I'm embarking on to present some work I'm developing independently. It'll be about data analytics with a focus on machine learning.

In future posts, I'll write about some data science use-cases I'll make, some tools I enjoy using or some reading material I find worth sharing.

I do not pretend expertise. I'm writing about things I just learnt. So if you spot any mistake please don't hesitate to point it out.

Also if you have any recommendation that could improve this blog, I'm all ears and the comment section is yours.

Hope to see you around.

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