fredericoguerra Goto Github PK
Name: Frederico Guerra
Type: User
Company: Bayer Crop Science
Bio: Data Scientist Specialist at Bayer Crop Science
Location: São Paulo, Brazil
Name: Frederico Guerra
Type: User
Company: Bayer Crop Science
Bio: Data Scientist Specialist at Bayer Crop Science
Location: São Paulo, Brazil
This project evaluates the cache miss reduction trought code optimization using two squared matrices multiplication.
Extração de dados da API do CartolaFC, análise exploratória dos dados e modelos preditivos em R e Python - 2014-20. [EN] Data munging, analysis and modeling of CartolaFC - the most popular fantasy football game in Brazil and maybe in the world. Data cover years 2014-19.
Some Algorithms for Finite Element Modeling
1st-year computer science major project. read our manifesto at:
Kruskal, PRIM for Minimum Spanning Tree and Dijkstra to find the shortest path between two points.
This repo has the Insertion Sort algorithm implementation in Python 3.9.0.
This project uses the integer optimization mathematical modeling to reduce the planting area given a list of materials to be planted in a limited farm land and some business constraints.
It is a study guide for people who are interested in learning Mixed Integer Programming. The repository contains a set of classical optimization problems, and each problem has its own mathematical formulation and implementation using Julia language with JuMP framework.
This repository contains the Knapsack problem solver using dynamic programming in python. Under the instances folder there are multiple example files to test given different amount of objects (n) to add in the sack of capacity M.
This repository contains the implementation of a metaheuristic combining GRASP, ILS and RVND for the Minimum Latency Problem (MLP).
Supervised machine learning project to predict death occurrence in worldwide terrorist attacks
This repository contains the second project (Unsupervised Learning) which is part of the Udacity Machine Learning Engineer Nanodegree.
This folder contains dataset collected from 1994 U.S. census available on UCI Machine Learning Repository. The main goal of this project is to find the best Supervised Learning model algorithm that accurately predicts if an individual makes more than 50K based on some features like age, marital status, workclass, nationality, race, sex, etc.
Content for Udacity's Machine Learning curriculum
Machine Learning Projects for Udacity ML Nanodegree
This project consists of a object detection model trained and deployed using the aws sagemaker.
Saltos condicionais
This repository contains the Simplex algorithm implemented using python. Given a primal objective function, this implementation provides both primal and dual solutions.
This project consists of an ETL pipeline which extracts data from S3, processes them using Spark, and loads back into S3 as a set of dimensional tables to be consumed by the sparkify analytics team in order to continue finding insights in what songs their users are listening to.
This project contains an implementation of the meteheuristic Iterated Local Search (ILS) algorithm to solve the NP-hard Traveling Salesman Problem using C++.
This repo contains the implementation of an heuristic to solve the Traveling Tournament Problem (TTP), as well as the implementation of the Meta-heuristics' algorithm Iterated Local Search (ILS) satisfying the predefined contraints of the NP-hard problem.
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.