# variables

## Exploratory Data Analysis(EDA) from scratch in Python!

Introduction Exploratory data analysis is one of the best practices used in data science today. While starting a career in…

## How to Selectively Scale Numerical Input Variables for Machine Learning

Many machine learning models perform better when input variables are carefully transformed or scaled prior to modeling. It is convenient,…

## Decomposing functions of many variables to functions of one variable

Suppose you have a computer that can evaluate and compose continuous functions of one real variable and can do addition.…

## Data Preparation for Machine Learning (7-Day Mini-Course)

Data preparation involves transforming raw data into a form that is more appropriate for modeling. Preparing data may be the…

## How to Use StandardScaler and MinMaxScaler Transforms in Python

Many machine learning algorithms perform better when numerical input variables are scaled to a standard range. This includes algorithms that…

## How to Scale Data With Outliers for Machine Learning

Last Updated on May 27, 2020Many machine learning algorithms perform better when numerical input variables are scaled to a standard…

## How to Use Quantile Transforms for Machine Learning

Numerical input variables may have a highly skewed or non-standard distribution. This could be caused by outliers in the data,…

## Develop a Model for the Imbalanced Classification of Good and Bad Credit

Misclassification errors on the minority class are more important than other types of prediction errors for some imbalanced classification tasks.…

## How to Transform Target Variables for Regression With Scikit-Learn

Data preparation is a big part of applied machine learning. Correctly preparing your training data can mean the difference between…

## A Gentle Introduction to Bayesian Belief Networks

Probabilistic models can define relationships between variables and be used to calculate probabilities. For example, fully conditional models may require…

## The Intuition Behind Correlation

We’ll answer that question in this article. We’ll also develop an intuitive feel for the equation for Pearson’s correlation coefficient.…

## Dealing with Type II Endogeneity

Why we should know about our DataDealing with Type II EndogeneityExamples from the literature dealing with Type II endogeneityashutosh nayakBlockedUnblockFollowFollowingJun 2With…

## Introduction to Endogeneity

Why we should know about our DataIntroduction to EndogeneityExamples describing different types of endogeneityashutosh nayakBlockedUnblockFollowFollowingJun 1An ice cream vendor sells ice…

## What makes a movie hit a “jackpot”? Learning from data with Multiple Linear Regression

The answer is pretty simple: by squaring the residual values, we treat positive and negative discrepancies in the same way.…

## Algorithmic Fairness: It’s Game On!

Algorithmic Fairness: It’s Game On!Janani SridharBlockedUnblockFollowFollowingJun 11The increasing work and research on Artificial Intelligence (AI) applications across industrial functions has resulted…

## Preparing Tabular Data for Neural Networks

You can use a “multi-hot vector” which is exactly the same as a one-hot vector except more than one entry…

## Brute force techniques of variable selection for classification problems

If former is the case, we need to filter variables on the basis of their prediction power or influence on…

## Jin Hyun Cheong

Four ways to quantify synchrony between time series dataSample code and data to compute synchrony…Mythbusting Fantasy Premier League: Form over fixturesUsing football…

## Intro To Rust

Intro To RustRylan BauermeisterBlockedUnblockFollowFollowingMay 15If you’re anything like me, Rust may have snuck up on you. With so many established programming…

## A Systematic Distressed Investing Strategy

A Systematic Distressed Investing StrategyTom YuzBlockedUnblockFollowFollowingMay 9IntroductionFinancial distress and bankruptcy exert significant pressure on corporate management, operations, and suppliers. The…

## Multi-Class classification with Sci-kit learn & XGBoost: A case study using Brainwave data

Multi-Class classification with Sci-kit learn & XGBoost: A case study using Brainwave dataA comparison of different classifiers’ accuracy & performance…

## Introducing Substrate Smart Contracts with Ink

macro is wrapping its contents with more syntax. // Ink// events!contract { // rest of contract}// Solidityinterface ContractName { //…

## Machine learning for Customer Analytics — 1

Machine learning for Customer Analytics — 1Customer response prediction using Logistic RegressionVivek VijayaraghavanBlockedUnblockFollowFollowingApr 28ContextPersonal loans are a major revenue generating mechanism for…

## Build an AWS Serverless application with Python 3.x, Zappa and Docker

Build an AWS Serverless application with Python 3. x, Zappa and DockerPatrick RyanBlockedUnblockFollowFollowingApr 29Zappa. io is a great Python tooling for…

## Going from scratch to a full-blown Flutter app in two days

Set up Firebase for my project and configure the Android version of the app with it. If that sounds new…