100% Discount || Machine Learning and Deep Learning A-Z: Hands-On Python

Requirements
Basic knowledge of Python Programming Language
Be Able To Operate & Install Software On A Computer
Free software and tools used during the course
Determination to learn and patience.
Motivation to learn the the second largest number of job postings relative program language among all others
Data visualization libraries in python such as seaborn, matplotlib
Description
Hello there,

Machine learning isn’t just useful for predictive texting or smartphone voice recognition. Machine learning is constantly being applied to new industries and new problems. Whether you’re a marketer, video game designer, or programmer, my course on Udemy here to help you apply machine learning to your work.

Welcome to the “Machine Learning and Deep Learning A-Z: Hands-On Python ” course.
Learn to create Machine Learning and Deep Algorithms in Python Code templates included. Python in Data Science | 2021

Do you know data science needs will create 11.5 million job openings by 2026?

Do you know the average salary is $100.000 for data science careers!

Data Science Careers Are Shaping The Future

Data science experts are needed in almost every field, from government security to dating apps. Millions of businesses and government departments rely on big data to succeed and better serve their customers. So data science careers are in high demand.

If you want to learn one of the employer’s most request skills?

If you are curious about Data Science and looking to start your self-learning journey into the world of data with Python?

If you are an experienced developer and looking for a landing in Data Science!

In all cases, you are at the right place!

We’ve designed for you “Machine Learning and Deep Learning A-Z: Hands-On Python ” a straightforward course for Python Programming Language and Machine Learning.

In the course, you will have down-to-earth way explanations with projects. With this course, you will learn machine learning step-by-step. I made it simple and easy with exercises, challenges, and lots of real-life examples.

We will open the door of the Data Science and Machine Learning a-z world and will move deeper. You will learn the fundamentals of Machine Learning A-Z and its beautiful libraries such as Scikit Learn.

Throughout the course, we will teach you how to use Python to analyze data, create beautiful visualizations, and use powerful machine learning python algorithms.

Because data can mean an endless number of things, it’s important to choose the right visualization tools for the job. Whether you’re interested in learning Tableau, D3.js, After Effects, or Python, Udemy has a course for you.

In this course, we will learn what is data visualization and how does it work with python.

This course has suitable for everybody who interested data vizualisation concept.

First of all, in this course, we will learn some fundamentals of pyhton, and object-oriented programming ( OOP ). These are our first steps in our Data Visualisation journey. After then we take a our journey to the Data Science world. Here we will take a look at data literacy and data science concepts. Then we will arrive at our next stop. Numpy library. Here we learn what is NumPy and how we can use it. After then we arrive at our next stop. Pandas library. And now our journey becomes an adventure. In this adventure we’ll enter the Matplotlib world then we exit the Seaborn world. Then we’ll try to understand how we can visualize our data, data viz. But our journey won’t be over. Then we will arrive at our final destination. Geographical drawing or best known as Geoplotlib in tableau data visualization.

Learn python and how to use it to python data analysis and visualization, present data. Includes tons of code data vizualisation.

In this course, you will learn data analysis and visualization in detail.

Also during the course, you will learn:

The Logic of Matplotlib

What is Matplotlib

Using Matplotlib

Pyplot – Pylab – Matplotlib – Excel

Figure, Subplot, Multiplot, Axes,

Figure Customization

Plot Customization

Grid, Spines, Ticks

Basic Plots in Matplotlib

Overview of Jupyter Notebook and Google Colab

Seaborn library with these topics

What is Seaborn

Controlling Figure Aesthetics

Color Palettes

Basic Plots in Seaborn

Multi-Plots in Seaborn

Regression Plots and Squarify

Geoplotlib with these topics

What is Geoplotlib

Tile Providers and Custom Layers

This Machine Learning course is for everyone!

My “Machine Learning with Hands-On Examples in Data Science” is for everyone! If you don’t have any previous experience, not a problem! This course is expertly designed to teach everyone from complete beginners, right through to professionals ( as a refresher).

Why we use a Python programming language in Machine learning?

Python is a general-purpose, high-level, and multi-purpose programming language. The best thing about Python is, it supports a lot of today’s technology including vast libraries for Twitter, data mining, scientific calculations, designing, back-end server for websites, engineering simulations, artificial learning, augmented reality and what not! Also, it supports all kinds of App development.

What you will learn?

In this course, we will start from the very beginning and go all the way to the end of “Machine Learning” with examples.

Dive in now! See you in the course!

Who this course is for:
Machine learning isn’t just useful for predictive texting or smartphone voice recognition. Machine learning is constantly being applied to new industries and new problems. It is for everyone
Anyone who wants to start learning “Machine Learning”
Anyone who needs a complete guide on how to start and continue their career with machine learning
Software developer who wants to learn “Machine Learning”
Students Interested in Beginning Data Science Applications in Python Environment
People Wanting to Specialize in Anaconda Python Environment for Data Science and Scientific Computing
Students Wanting to Learn the Application of Supervised Learning (Classification) on Real Data Using Python