Nassereddine BELGHITH's repositories
breeze-examples
Examples for using Breeze.
Churn
Prediction of costumer churn using Pyspark
Churn-
Prediction of customer churn using Pyspark
Churn_Prediction
Customer churn prediction using Pyspark.
Classification-Pyspark
This repository of classification template using pyspark.
HackerRanckTests
HackerRank problem solutions (Python, scala and Java)
keras-tensorflow-playground
Learning about keras and tensorflow for deep learning.
linkedin-skill-assessments-quizzes
Full reference of LinkedIn answers 2021 for skill assessments, LinkedIn test, questions and answers (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test
logistic-reg
Logistic regression from scratch with NumPy
parquet-examples
Example programs and scripts for accessing parquet files
predictionDecision
La regression logistique est un algorithme de classification (de machine learning) pour prédire la propabilité d’une variable à dépendence cathégorique. En utilisant la regression logistique , la variable est binaire. Elle (la variable ) contient des données codées 1 ( oui , success, etc . . . ) ou 0 (non , echec etc . . . ) . Autrement dit le modele de regression logistique prédit P(Y=1) fonction de X.
scala-matrix-util
A small matrix class, written in Scala, with lightweight multiplication & exponentiation for matrices of all numeric types and booleans, as well as a bunch of utility methods I've found useful in my projects.
simple-yarn-app
Simple YARN application
spark
Apache Spark - A unified analytics engine for large-scale data processing
structuring_data
Structuring data Java
variableNameValidationOnJava
Test either a variable name on Java is accepted or not
yarn-examples
Example apps for YARN