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Data Science Portfolio completed both in the academia and for self-learning.
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Data Analysis Series/Fighting _Churn Added Telco customer churn Aug 4, 2019
Deep Learning Series added setup Aug 9, 2019
Machine Learning Series added Boston Housing Jul 26, 2019
.gitmodules small fix Aug 9, 2019
LICENSE Initial commit Jul 26, 2019 Update Aug 9, 2019

Data Science Portfolio

This Portfolio contains diverse projects in Data Science completed both in the academia and in self-learning fashion.


1. Machine Learning

  • Telco Customer Churn Problem : Data analysis and Machine Learning to solve Telco customer churn. Blog article

  • Boston Houses : Linear regression tutorial comparing from scratch numpy/pandas implementation against scikit-learn to predict the best price that a client can sell his house. Blog article

  • Higgs Boson Prediction : Predict if a signature results from a Higgs Boson (signal) or some other process (background). All ML models are implementended from scratch using only Numpy.

  • tweet Sentiment Classification : Positive/Negative sentiment analysis classification of tweets using traditional machine learning techniques.

2. Deep Learning

3. Systems, Databases and Data-Parallel Programming

  • hogwild-spark : Parallel synchronous and asynchronous versions of SGD in Spark on Kubernetes for learning support-vector machines.

  • hogwild-multicore : Multicore implementation of the sparse SVM problem

  • Robust-Journey Planner : Public transport route planner based on CSA

4. Data Analysis and NLP

  • brazilian-e-commerce : Data-driven strategic analysis of Olist, brazilian E-commerce platform.

  • Fake News : Fake News : An average Citizen's guide

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