Author: Sudhanshu Kumar
k-Nearest Neighbors Classification algorithm [Case Study]
Predicting car quality with the help of Neighbors Introduction : The goal of the blogpost is to get the beginners started with fundamental concepts of the K Nearest Neighbour Classification Algorithm popularly known by the name KNN classifiers. We will mainly focus on learning to build your first KNN model. The data cleaning and preprocessing parts would be covered in detail in an upcoming post. ...
K-Means model for Predicting Car quality[Case Study]
Problem Statement : To build a simple K-Means model for clustering the car data into different groups. Data details ========================================== 1. Title: Car Evaluation Database========================================== The dataset is available at “http://archive.ics.uci.edu/ml/datasets/Car+Evaluation” 2. Sources: (a) Creator: Marko Bohanec (b) Donors: Marko Bohanec (marko.bohane...
K-Means Clustering Algorithm
Introduction : The goal of the blogpost is to get the beginners started with fundamental concepts of the K Means clustering Algorithm. We will mainly focus on learning to build your first K Means clustering model. The data cleaning and preprocessing parts would be covered in detail in an upcoming post. Clustering : Clustering can be considered the most important unsupervised learning problem; so...
Using Decision Trees for Regression Problems [Case Study]
Introduction : The goal of the blogpost is to equip beginners with the basics of Decision Tree Regressor algorithm and quickly help them to build their first model. We will mainly focus on the modelling side of it. The data cleaning and preprocessing parts would be covered in detail in an upcoming post. In statistics, the mean squared error (MSE) or mean squared deviation (MSD) of an estimator (of...
Decision Tree model for prediction of Car quality [Case Study]
Problem Statement : To build a Decision Tree model for prediction of car quality given other attributes about the car. Data details: ========================================== 1. Title: Car Evaluation Database ========================================== The dataset is available at “http://archive.ics.uci.edu/ml/datasets/Car+Evaluation” 2. Sources: (a) Creator: Marko Bohanec (b) Donors: Marko Bohan...
Making Intelligent decisions with Decision Trees
Introduction : In this blog we will discuss a Machine Learning Algorithm called Decision Tree. The goal of the blogpost is to get the beginners started with fundamental concepts of a Decision Tree and quickly help them to develop their first tree model in no time. A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences. It is one...
Important Pillars of Stats Covariance and Correlation
Introduction : Covariance and Correlation are two mathematical concepts which are quite commonly used in statistics. When comparing data samples from different populations, Both of these two determine the relationship and measures the dependency between two random variables. Covariance and correlation show that variables can have a positive relationship, a negative relationship, or no relationship...
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