# Posts tagged as "MachineLearning"

## An Overview of Linear Regression Models

**December 24th, 2018**

Modeling the relationship between a scalar response (or dependent variable)
and one or more explanatory variables (or independent variables…

## Understanding Boosted Trees Models

**August 31st, 2017**

In the previous post , we learned about tree based learning methods - basics of tree based models and the use of bagging to reduce…

## A Practical Guide to Tree Based Learning Algorithms

**July 22nd, 2017**

Tree based learning algorithms are quite common in data science competitions .
These algorithms empower predictive models with high…

## Understanding Support Vector Machine via Examples

**July 8th, 2017**

In the previous post on Support Vector Machines (SVM) , we looked at the mathematical details of the algorithm. In this post, I will be…

## Support Vector Machines

**November 11th, 2016**

In this post we will explore a class of machine learning methods called
Support Vector
Machines also
known commonly as SVM . Introduction…

## EDA of Lending Club Data - II

**May 20th, 2016**

In the last post we looked at some initial cleanup of the data. We will start from there by loading the pickled dataframe. df = pd…

## EDA of Lending Club Data

**March 29th, 2016**

We will first look at various aspects of the LendingClub data using techniques of Exploratory Data Analysis (EDA).
Please look at my past…

## Exploring Multiple Variables in EDA

**December 18th, 2015**

In this section, we will continue re-using the data from the previous post based on Pseudo
Facebook data from udacity . The data from the…

## Pseudo Facebook Data - Exploring Two Variables

**December 13th, 2015**

In this section, we will be re-using the data from the previous post based on Pseudo
Facebook data from udacity . The data from the project…

## Pseudo Facebook Data - Plots in Python

**December 9th, 2015**

In this post, we will learn about EDA of single variables using simple plots like histograms , frequency plots and box plots . Data sets…