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Name: Malick Sarr
Type: User
Bio: Data Scientist
Twitter: ngorovitch
Blog: https://malicksarr.com
Name: Malick Sarr
Type: User
Bio: Data Scientist
Twitter: ngorovitch
Blog: https://malicksarr.com
Using Pandas, Sk learn and Tensorflow to predict if a indiviual makes over 50K/year
Naive-Bayes Classifier for node.js
TensorFlow code and pre-trained models for BERT
Starting from existing knowledge about a physiological/clinical/pathological condition or process, a) explore the related information sources (experiments and datasets, literature, databases, etc), b) collect the list of human genes of interest (‘seed gene list’), c) get proteinprotein interaction data, d) carry on a preliminary analysis
Using the results from part 1, we will be performing modules discovery by applying clustering methods and then carry on with a enrichment analysis on the putative disease modules
Used machine learning (CNNs) to build a software that given a scanned picture with a character (i.e, a,A,B,B,...) is able to recognize: the font, the character , if it is in bold and if it is in italics .
Application of graph methodologies to extract and process information on DBLP database
A repo containing free datasets
My solutions for the Java Challenges in Hackerrank
Predicted price of houses in Ames with advanced regression techniques - include data cleaning, feature selection & engineering, Full Lasso Model
Our solution set for the Housing price prediction competition in Kaggle
Wikipedia Usage Estimates Prevalence of Influenza Illness in Italy in Near Real-Time
Analyzed the text of songs and built a search engine for songs. It includes data collection, song statistics and search engine.
Analysis on EEG data for a single subject at rest in (i) eyes-open and (ii) eyes-closedconditions, respectively
Implementation of Neural Network for regression. The network architectures used were the Multilayer Perceptron (MLP) and the Radial Basis Function and the optimization techniques used are Full minimization, Two blocks method and Decomposition.
Implementation of Support Vector Machine from scratch. We trained SVM using 3 optimization methods: full QP, decomposition method and the Most Violating Pair (MVP) decomposition method. Additionally, as a bonus, we implemented a Support Vector Machine classifier for multi-class classification
Predicted the outcome of last season EPL results
Project done for the Data Mining Technologies. The main topics covered in this project are Search-Engine Evaluation and Near-Duplicates-Detection.
This is just a collection of problems that I solve in my free time
We worked on a network representing the relationships among twitter profiles and the stream of tweets across the Italian referendum day (4th of December 2016). On those data-sets, we investigated the temporal distribution by performing a temporal analysis before Identifying potential Yes/No supporters. Additionally, we performed spread of influence analysis to evaluate the spread of the different parties over the network.
WordPress, Git-ified. Synced via SVN every 15 minutes, including branches and tags! This repository is just a mirror of the WordPress subversion repository. Please do not send pull requests. Submit patches to https://core.trac.wordpress.org/ instead.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.