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Name: Alexander Sepenu
Type: User
Bio: A traveler who loves Architecture, Fauna, Flora, Landscape, and the impressive culture and histories that come with them. I am also a big data enthusiast.
Name: Alexander Sepenu
Type: User
Bio: A traveler who loves Architecture, Fauna, Flora, Landscape, and the impressive culture and histories that come with them. I am also a big data enthusiast.
MSDS6306 Homework 5 assignment
Case Study to Predict Critical Temperature
Getting started with soccer analytics
Atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series
A curated list of amazingly awesome Cybersecurity datasets
Identify fraudulent bank accounts using a graph database - Neo4j, Python
Jupyter notebooks for our O'Reilly book "Blueprints for Text Analysis Using Python"
Employee Attrition
RStudio Cheat Sheets
Performs an exploratory analysis on a dataset containing information about shop customers. Check that the assumptions K-means makes are fulfilled. Apply K-means clustering algorithm in order to segment customers.
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
Programming Foundations: Databases
This is a collection of iPython notebooks from my course on data mining. Data used in the notebooks can be downloaded from the given links in the notebooks.
Class Repository for Machine Learning I - 7331
DoingDataScience
List of Data Science Cheatsheets to rule the world
The Belk Endowment Educational Attainment Data Repository for North Carolina Public Schools
Email Spam Classifier Project Implementation using Naive Bayes and SVM Machine learning Technique
Data Science Feature Engineering and Selection Tutorials
code for DataCamp classes
Source code for the Neo4j Graph Data Science library of graph algorithms.
Fraud detection in bank transactions using graph databases and machine learning.
For the "Practical Machine Learning with H2O" book, to be published by O'Reilly (ISBN, etc. coming soon)
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
A machine learning tool assisting doctors in patient diagnosis. Uses clustering to find similar patient cases.
Crack iOS Restriction Passcodes with Python
an R package for structural equation modeling and more
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.