## Underfitting and Overfitting

First of all both underfitting and overfitting are not good characteristics of a machine learning model. So we go for

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## Category: Machine Learning

## Underfitting and Overfitting

## K Means Clustering Algorithm Implementation with Python

## How to Determine the Optimal Number of Clusters – K Means Clustering

## K Means Clustering Solved Numerical

## Support Vector Machine

## Logistic Regression

## Linear Regression

## Training and Testing Data

## Data Preprocessing Techniques in Machine learning

## Visualization Of Data using Matplotlib

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Helping Students

First of all both underfitting and overfitting are not good characteristics of a machine learning model. So we go for

Here we considered a dataset of students with name, roll number and marks. You can find the dataset below Initially

Continue readingK Means Clustering Algorithm Implementation with Python

This is a very important question to be answered before we move further with k means clustering algorithm. If we

Continue readingHow to Determine the Optimal Number of Clusters – K Means Clustering

K means clustering is a unsupervised learning algorithm. NO target or dependent variable is mentioned in input data. Here we

Support vector machines was initially designed for prediction of numeric and categorical outcomes. Today SVM is mostly used as a

Logistic regression is used when we have a categorical data (‘yes’,’no’,’true’,’false’,’0′,’1′,’positive’,’negative’), as in our below mentioned example where different ages

We use Linear regression in situation where we need to predict or classify. In linear regression single or multiple independent

The preprocessed data cannot be given to algorithms directly, before that we need to decide the Independent and Dependent variables

Without data machine learning cannot be imagined, so its very important to provide appropriate data to machine learning algorithms. Firstly

Continue readingData Preprocessing Techniques in Machine learning

How to Plot a Line ? To answer the above question we need to import matplotlib library and use plot()