Baurice Nafack (bnafack)

bnafack

Geek Repo

Company:Freelance

Location:Italy

Home Page:https://medium.com/@bnafack

Twitter:@n_baurice

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Baurice Nafack's repositories

NBA_GAMES

The project aims to predict the winner of a basketball game, the ranking of the NBA Playoffs, the winner of each conference, as well as the winner of the NBA.

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Turorial-machine-learning-

This is the tutorial I gave to the undergraduate student in Cameroon

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benchmark

This section goal is to study the latency and bandwidth using Intel MPI and openmpi on HPC cluster using PingPong

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covid_analysis

In this project, the goal is to predict the number of intensive care units (terapia_intensiva) in Campania region, Italy from 02 to 15 February 2021.

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ring

The whole point of MPI (Message Passing Interface) is to make processes communicate. Point-to-point communication is divided into two operations: Send and Receive. Its most basic form is called blocking. Here I wrote a blocking and non-blocking mpi program in c++. communications.

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Corpus_analysis

Analysis of Svevo’s letters corpus, machine learning assignment

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data-engineering-zoomcamp

Code for Data Engineer Zoomcamp course

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feature-engineering-for-machine-learning

Code repository for the online course Feature Engineering for Machine Learning

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Foundations_of_HPC_2021

This repository collects the materials from the course "Foundations of HPC", 2021, at the Data Science and Scientific Computing Department, University of Trieste

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generic_algorithm

A van in a shop must be filled to transport household appliances, its load must be optimized by maximizing the value of what is transported for a given volume. We have a file with occupied space, price and quantity of certain products

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Kd-tree-implementation

Implement a kd-tree data structure using parallel programming

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Leukemia-data-analysis

Use unsupervised machine learning techniques to explore the Leukemia dataset by focusing more on dimensional reduction and clustering to find similarities between samples or how they are related to each other.

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net.jgp.books.spark.ch01

Spark in Action, 2nd edition - chapter 1 - Introduction

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Probabilistic-machine-learning-project

Predicting Smart Grid Stability with Probabilistic Machine Learning Models.

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teaching

Curated repository for all the teaching materials (courses, seminars, etc.) provided by the lab and its members.

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Training_Spacy_Named_Entity_Recognition

Named entity recognition and drug name extraction on patient writing request or experience.

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