## Exploring the Tensorflow

Once you install the Tensorflow, that contains the wide variety of files and folders. Two top level folders are particularly important. The core directory and the contrib directory.

## Logistic Regression In ML

Logistic Regression as a method of classification problem.Logistic regression will allow us to solve Classification Problem where we will be working with Discrete Categories.

## Model Evaluation and Bias-Variance Trade-Off In Machine Learning

We should spent our time on Model Evaluation and Bias-Variance Trade-Off to bring the best model which do not underfit or overfit the data.

## Linear Regression In ML

Regression is basically a statistical approach of finding a relationship between the variables. Linear regression is one type of regression we use in Machine Learning.

## What is Deep Learning?

Deep Learning is a subfield of Machine Learning because it makes use of Deep Neural Networks inspired by the structure and function of brain called Artificial Neural Networks.

## 15 Best Machine Learning Course in 2019

Here are 15 Best Machine Learning Course for Machine Learning. It will give you the great knowledge about Machine Learning and Deep Learning.

## TensorFlow 2.0 Beta is Here!

With TensorFlow 2.0, these will be packaged together into a comprehensive platform that supports machine learning workflows from training through deployment.

## Machine Learning Libraries in Python

Today,Python is a trending language in the industry and it replaced many of the other programming languages.Machine Learning got easier in Python than from any other language. Whether it is Machine learning or Artificial Intelligence or Data Science it is fun doing with Python.