nasrbel

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.

Customer_Churn

HackerRanckTests

HackerRank problem solutions (Python, scala and Java)

kafka-promethues-grafana

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

nasrbel/breeze-examples

Examples for using Breeze.

nasrbel/Churn

Prediction of costumer churn using Pyspark

nasrbel/Churn-

Prediction of customer churn using Pyspark

nasrbel/Churn_Prediction

Customer churn prediction using Pyspark.

nasrbel/Classification-Pyspark

This repository of classification template using pyspark.

nasrbel/Customer_Churn

nasrbel/HackerRanckTests

HackerRank problem solutions (Python, scala and Java)

nasrbel/kafka-promethues-grafana

nasrbel/keras-tensorflow-playground

Learning about keras and tensorflow for deep learning.

nasrbel/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

nasrbel/logistic-reg

Logistic regression from scratch with NumPy

nasrbel/Logistic-regression-from-scratch

nasrbel/Logistic-regression-from-scratch-

nasrbel/LR

nasrbel/parquet-examples

Example programs and scripts for accessing parquet files

nasrbel/prediction-decision

nasrbel/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.

nasrbel/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.

nasrbel/simple-yarn-app

Simple YARN application

nasrbel/spark

Apache Spark - A unified analytics engine for large-scale data processing

nasrbel/structuring_data

Structuring data Java

nasrbel/variableNameValidationOnJava

Test either a variable name on Java is accepted or not

nasrbel/yarn-examples

Example apps for YARN