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scienclick's Projects

datapreparation4machinelearning icon datapreparation4machinelearning

This Note book is my reference for different steps required to prepare data to be ready for ML. It is an ongoing project and I am gradually structuring my old records and new learning here.

disaster-response-pipeline-project icon disaster-response-pipeline-project

In the Project , you'll find a data set containing real messages that were sent during disaster events. You will be creating a machine learning pipeline to categorize these events so that you can send the messages to an appropriate disaster relief agency. The projects includes a web app where an emergency worker can input a new message and get classification results in several categories. The web app will also display visualizations of the data.

dotfiles icon dotfiles

Default configuration for Le Wagon's students

homework icon homework

interactive-python-dashboards-with-plotly-and-dash

ica icon ica

In this notebook I will be implementing ICA method to resolve a signal to its constituent components. As a geophysicist it can be very interesting practice.

scienclick-dash icon scienclick-dash

This webpage is a case example of data science dashboard that we intended to develop it further, but it got to a point that we decided to make it open source, for learning purposes.

scikitlearnpipeline4nlp icon scikitlearnpipeline4nlp

In this repository I have stored my workflow for natural language processing using Gradient Boosting, Random Forest, Naive Bayes and Grid Search functionalities in sklearn. I used normal approach and pipeline and used featured union in the pipeline.

src-youtube icon src-youtube

This project is part of a YouTube series where I address handling images in DjangoRestFramework, creating git repository and git hub and then serving it using Digital Ocean, Nginx and Gunicorn.

stockcompare icon stockcompare

This repository will find stocks simmilar to the provided symbol and compare them

stocks icon stocks

In this project I am doing some data analytics on Huge Stock Market Dataset in Kaggle, containing more than 7000 stock files.

udacityprojects icon udacityprojects

I am officially taking Udacity Data Scientist nano-degree and I decided to summarize the projects that I am doing here. Projects 1,2 and 3 are part of the Machine Learning Engineering Nano degree that I did not take the course and only did the projects.

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