# Posts by Tag

## Introduction to Logistic Regression

Usually in Linear Regression we consider $X$ as a explanatory variable whose columns are $X_1 , X_2 …..X_{p}$ are the variables which we use predict are the ...

## Supervised Learning with Scikit Learn

31 minute read , , , , , , , , , ,

Machine Learning is the art of giving computers the ability to learn from data and make decisions on their own without explicitly programmed for example ...

## Introduction To Non-Informative Priors

Prior density is denoted by $g(.)$ in this article Introduction Non-Informative Priors are the priors which we assume when we do not have any belief ab...

## Introduction To Non-Informative Priors

Prior density is denoted by $g(.)$ in this article Introduction Non-Informative Priors are the priors which we assume when we do not have any belief ab...

## Tensorflow Hello World

Tensorflow is made up of two words tensor and flow , where tensor means multidimensional array and flow means graph of operations. It is developed by google ...

## Tensorflow Hello World

Tensorflow is made up of two words tensor and flow , where tensor means multidimensional array and flow means graph of operations. It is developed by google ...

## Supervised Learning with Scikit Learn

31 minute read , , , , , , , , , ,

Machine Learning is the art of giving computers the ability to learn from data and make decisions on their own without explicitly programmed for example ...

## Supervised Learning with Scikit Learn

31 minute read , , , , , , , , , ,

Machine Learning is the art of giving computers the ability to learn from data and make decisions on their own without explicitly programmed for example ...

## Supervised Learning with Scikit Learn

31 minute read , , , , , , , , , ,

Machine Learning is the art of giving computers the ability to learn from data and make decisions on their own without explicitly programmed for example ...

## Supervised Learning with Scikit Learn

31 minute read , , , , , , , , , ,

Machine Learning is the art of giving computers the ability to learn from data and make decisions on their own without explicitly programmed for example ...

## Supervised Learning with Scikit Learn

31 minute read , , , , , , , , , ,

Machine Learning is the art of giving computers the ability to learn from data and make decisions on their own without explicitly programmed for example ...

## Supervised Learning with Scikit Learn

31 minute read , , , , , , , , , ,

Machine Learning is the art of giving computers the ability to learn from data and make decisions on their own without explicitly programmed for example ...

## Supervised Learning with Scikit Learn

31 minute read , , , , , , , , , ,

Machine Learning is the art of giving computers the ability to learn from data and make decisions on their own without explicitly programmed for example ...

## Supervised Learning with Scikit Learn

31 minute read , , , , , , , , , ,

Machine Learning is the art of giving computers the ability to learn from data and make decisions on their own without explicitly programmed for example ...

## Supervised Learning with Scikit Learn

31 minute read , , , , , , , , , ,

Machine Learning is the art of giving computers the ability to learn from data and make decisions on their own without explicitly programmed for example ...

## Supervised Learning with Scikit Learn

31 minute read , , , , , , , , , ,

Machine Learning is the art of giving computers the ability to learn from data and make decisions on their own without explicitly programmed for example ...

## Introduction to Logistic Regression

Usually in Linear Regression we consider $X$ as a explanatory variable whose columns are $X_1 , X_2 …..X_{p}$ are the variables which we use predict are the ...

## Highest Posterior Density Interval

Highest Posterior Density Interval is interval of the parmeter in which the posterir value are high when compared to any other point outside the interval (i....

## Highest Posterior Density Interval

Highest Posterior Density Interval is interval of the parmeter in which the posterir value are high when compared to any other point outside the interval (i....

## Convergence of Markov Chain

What is Markov Chain ? Markov Chain is a Stochastic Model in which Future is dependent only on Present not on Past , What I mean to say that is ...