Data Analytics and Machine Learning in R. Linear-regression, Logistic-regression, Hierarchical-clustering, Boosting, Bagging, Random-forests, K-means-clustering, K-nearest-neighbors (K-N-N), Tree-pruning, Subset-selection, LDA, QDA, Support Vector Machines (SVM)

Bootstrap a new project from a predefined skeleton

Boostrapping ADAMS applications simply from a list of modules, without compilation.

I collected dataset related to COVID-19 disease in various dimensions and presented here. You can read its details in "Adaptive Elastic-net Sliced Inverse Regression to Identify Risk Factors Affecting COVID-19" article. Also, here are the codes for the proposed method.

[WIP] A rust interpreter

My dotfiles

scripts to download and compile a freestanding (nostdlib) binutils + gcc toolchain

A collection of ab testing case studies and methodologies

Problem to solve: An exciting application of regression is to quantify the effect of advertisement on sales, considering the newspaper, TV, and radio as the advertisement channels.

Giter8 template to generate an API Gateway triggered Lambda.

Recognize underfitting and overfitting, implement bagging and boosting, and build a stacked ensemble model using a number of classifiers.

Abstract part of a booting application process, using the Chain of Responsibility pattern.

Deploying Windows and Linux VMs with Bootstrapping using Terraform (azurerm v1.x)

Like live-bootstrap, but not totally (a)live

Bootstrapping algorithm

Bootstrapping, application phase management, environment config and common utilities for travetto applications.

This project was done as a part of Udacity's Data Analyst Nanodegree program in which AB-Testing is performed for the users under treatment and control groups to predict whether changes should be done for an website or it is ideal to keep the existing one, based on the performance of old and new pages. Hypothesis testing, z-test, and Logistic Re…

When using scipy.optimize.curve_fit to create a linear regression from data with no relationship between x-values and y-values, what is the likelihood of seeing the relationship generated by chance?

Folder / directory structure options and naming conventions for software projects

Re-sampled dimensional reduction (RSDR)