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Learn how to build a neural network and how to train, evaluate and optimize it with TensorFlow.

This is a part-by-part course which we will cover from basics to implementing models in productions.

Today’s TensorFlow tutorial for beginners will introduce you to performing deep learning in an interactive way:

You’ll first learn more about tensors;

Then, the tutorial you’ll briefly go over some of the ways that you can install TensorFlow on your system so that you’re able to get started and load data in your workspace;

After this, you’ll go over some of the TensorFlow basics: you’ll see how you can easily get started with simple computations.

**What is TensorFlow?**

TensorFlow is a popular open source library that's used for implementing machine learning and deep learning.

It was initially built at Google for internal consumption and was released publicly on November 9, 2015.

Since then, TensorFlow has been extensively used to develop machine learning and deep learning models in several business …

This is a part-by-part course which we will cover from basics to implementing models in productions.

Today’s TensorFlow tutorial for beginners will introduce you to performing deep learning in an interactive way:

You’ll first learn more about tensors;

Then, the tutorial you’ll briefly go over some of the ways that you can install TensorFlow on your system so that you’re able to get started and load data in your workspace;

After this, you’ll go over some of the TensorFlow basics: you’ll see how you can easily get started with simple computations.

TensorFlow is a popular open source library that's used for implementing machine learning and deep learning.

It was initially built at Google for internal consumption and was released publicly on November 9, 2015.

Since then, TensorFlow has been extensively used to develop machine learning and deep learning models in several business …

In the previous post, we covered the important DataFrame topic for Data Analysis.In this post, we are covering another important thing in Data Analysis the data exploration using Matplotlib in python.

Luckily, this library is very flexible and has a lot of built-in defaults. As such, you don’t need much to get started: you need to make the necessary imports, prepare the data, and you can start plotting!

Don’t forget to show your plot when you’re ready!

Before getting started with matplotlib please check if the necessary installation has been completed.

If you face difficulty or issue while importing try to install matplotlib by¶command : pip install matplotlib¶What are we going to Cover in this topic ?¶Figures and Subplots¶How to Create plottingHow to show plotting within Notebook.Different types of plot you will need for data explorationfigure - container thats holds all elements of plot(s)subplot - appears within a rectangular grid within a figure

Note: Include %matplotlib inline - th…

Luckily, this library is very flexible and has a lot of built-in defaults. As such, you don’t need much to get started: you need to make the necessary imports, prepare the data, and you can start plotting!

Don’t forget to show your plot when you’re ready!

Before getting started with matplotlib please check if the necessary installation has been completed.

If you face difficulty or issue while importing try to install matplotlib by¶command : pip install matplotlib¶What are we going to Cover in this topic ?¶Figures and Subplots¶How to Create plottingHow to show plotting within Notebook.Different types of plot you will need for data explorationfigure - container thats holds all elements of plot(s)subplot - appears within a rectangular grid within a figure

Note: Include %matplotlib inline - th…

Welcome to theworld of machine learning with scikit-learn. Machine learning can be overwhelming at times and this is partly due to a large number of tools that are available on the market. This post will simplify this process of tool selection down to one–scikit-learn.

In this Series, you will learn how to construct an end-to-end machine learning pipeline using some of the most popular algorithms that are widely used in industry and professional competitions, such as Kaggle. However, in this introductory post, we will go through the following topics: A brief introduction to machine learningWhat is scikit-learn?Installing scikit-learnAlgorithms that you will learn to implement scikit-learn in series.Example to build your first regression model

Now, let's begin this fun journey into the world of machine learning with**scikit-learn!** **A brief introduction to machine learning!** Machine learning has generated quite the buzz – from Elon Musk fearing the role of unregulated artificial intelligen…

In this Series, you will learn how to construct an end-to-end machine learning pipeline using some of the most popular algorithms that are widely used in industry and professional competitions, such as Kaggle. However, in this introductory post, we will go through the following topics: A brief introduction to machine learningWhat is scikit-learn?Installing scikit-learnAlgorithms that you will learn to implement scikit-learn in series.Example to build your first regression model

Now, let's begin this fun journey into the world of machine learning with