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Built a predictive model to predict the severity for the Allstate insurance claims using machine learning algorithms (Ridge/Lasso Regression, Random Forest, Gradient Boost, XGBoost, Neural Network)
Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/
📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
A repository containing the source code for the paper "HINDSIGHT: An R-Based Framework Towards Long Short Term Memory (LSTM) Optimization"
In the spirit of the conference, this meetup will feature a series of short talks on practical applications with R!
Source code from the winning team in Track 1 and Track 3 at the AI City Challenge Workshop in CVPR 2018.
2019 Wuhan Coronavirus data (2019-nCoV)
A comparison of Cesium and ArcGIS API for JavaScript
The repo of Street View Image, Pose, and 3D Cities Dataset. Used in "Generic 3D Representation via Pose Estimation and Matching", ECCV16
Generate 3D Models of Urban Areas.
Scalable and robust C++ application to generate a 3D model of the whole city starting from real data information provided by OpenStreetMap
The open-source tool for creating 3D models
Interactive Presentations for Financial Education using R/Shiny. See full list of presentations (with links) below.
Water Quality R Shiny App
RTA data collected are huge, multi-dimensional and heterogeneous. Moreover, the data may be incomplete and contain erroneous values, which makes the data analysis a daunting task. The target data for this study was collected by the Department for Transport, GB. Several data mining techniques such as handling an imbalanced dataset, factor reduction and prediction algorithms such as Naïve Bayes, Decision Tree, Random Forest, Logistic Regression, Support Vector Machines (SVM) were carried out to perform an effective data analysis that could potentially support the transport department in devising better precautional measures to minimize the road accident occurrences in Great Britain. Moreover, the idea of chaining two different algorithms was attempted by identifying the significant attributes through Random Forest technique and feeding them as input to other ML algorithms. In addition, the key factors that influence these road collisions were identified and presented.
AAAIA2020-Accident Forecasting Experiments Setups
It's a web portal to track homeless people and identify slum areas through the use of Machine-learning and user inputs.
Asynchronous, event-driven algorithmic trading in Python and C++
Official Python Implementation for "A Baseline for 3D Multi-Object Tracking", In Submission
R package for the BARD method: Bayesian Abnormal Region Detection
This R package implements the event study methodology and abnormal returns in particular.
阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构
机器学习技术研究室——by阿布量化小组
Data science and AI solution accelerator suite that provides templates for prototyping, reporting, and presenting data science analytics of specific domains
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.