Quantile-Quantile (Q-Q) plot, is a graphical tool for determining if two data sets come from populations with a common distribution such as a Normal, Exponential, or Uniform distribution. This helps in a scenario of linear regression when we have the training and test data set received separately and then we…
Hypothesis testing can be carried out in linear regression for the following purposes: To check whether a predictor is significant for the prediction of the target variable. Two common methods for this are — By the use of p-values:If the p-value of a variable is greater than a certain limit…
Before we discuss Linear Regression for ML, let us talk a little about Statistics. Many of us might have learnt linear regression in Statistics classes. Are ML and Statistics the same? No, they are not! ML builds heavily on Statistics, that’s all! Both Machine Learning and statistical modelling learn from…
Now that you are all set to start with Git, here are some of the frequently used Git commands for your reference: git add Usage: git add [file] This command adds a file to the staging area. Usage: git add * This command adds one or more to the staging area. git…
Here are the basic steps to install Git and create a free GitHub account. Installing on Windows There are also a few ways to install Git on Windows. The most official build is available for download on the Git website. Just go to https://git-scm.com/download/win and the download will start automatically. Note that…
Git is a version control system. Version control is a system that records changes to a file or set of files over time so that you can recall specific versions later. A version control automatically tracks every minute change in your project and allows us to revert back to a…
Unsupervised learning is a class of ML where we do not have any clue about the target data. We have to approach the problem by clustering the given unlabeled data based on the relationship between the input variables. We have to analyze the data; find patterns and relationships among them….
Supervised learning is a class of ML where machines can learn through examples. The historical data set has both input and output (also called target or response) values. Based on the training data set, the machine already has some idea of what the target value would look like, which kind…
I will discuss the most popular machine learning algorithms. There are so many algorithms available and I categorized algorithms based on the learning style. Let’s take a look at four different learning styles in machine learning algorithms: Supervised Learning Unsupervised Learning Semi-supervised Learning Reinforcement Learning Here is the list of…
What is Machine Learning(ML) As we humans learn from our past experiences, machines learn from past data. What does it mean? We tend to respond to a situation based on our past experiences. In our brain, we have stored all the situations we had encountered and the corresponding responses as…