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airflow_tuto

azure-data-factory-cookbook

Azure Data Factory Cookbook, published by Packt

azure-databricks-cookbook

Azure Databricks Cookbook, Published by Packt

casecleaningdataset

In this document we are going to put into practice some tips to clean up data before analysis

caseontreeforclassification_-1-rpart_-2-baggedthree_-3-randomforest_-4-gbm

We will use the famous german credit dataset. This is a classifcication case where you will use FOUR types on models and prune them to incresase accuracy. In order : (1) Rpart (2)Bagged Tree (3)Random Forest (4)Gradient Boosting

churnprediction_glm

This file explain how to predict churn rate. You would also see how to prune a GLM to increase the accuracy of a logistic regression

churnprediction_glm_rf_ensembleglm-rf

We are going to predict churn for a telecom operator. We will learn resampling method using caret and generate your first ensemble model made up with a GLM and a Random Forest

dvdstore

initial commit

getting-started-with-bicep-infrastructure-as-code-on-azure

invoise

Spring-Intro example

javaforkids

learn_t_sql

median-knn_imputation

We use the dataset BrainCancer in order to put into practice meidan and Knn imputation. This dataset is interesting because many of the predictors contain missing values and most rows of the dataset have at least one missing value

nearzerovar_pca_reducedatatofitmodel

One interesting aspect of this dataset is that it contains many variables and many of these variables have extemely low variances. We are going to use nearZeroVar and PCA method to reduce predictors and thus having a better model

practical-git-students

For readers of Practical Git testing out a fork based workflow.

pythonawsmysql

rshinyappforexplorydataanalysis

Simple ShinyApp exploring with iteration an given dataset

snippet_r_code

Somme little R code for casual R cleaning process

spark-the-definitive-guide

Spark: The Definitive Guide's Code Repository

survival_analysis

Little R code to performing a Survival Analysis and comments on how to interpret it

telecom_churn_prediction

thresholding_glm

Through the famous sonar dataset, we are going to detect rocks from mine.

tipsinpythonforrusers

Somes contents to help R users handling Python

todo-api-fastapi

Code repository for exercises in the eBook WebAPI Development with Python

weatherprojectbackendtasks

web-apis-with-python

Code repository for exercises in the eBook WebAPI Development with Python