English | Size: 7.06 GB

Genre: eLearning

Python Data Science A-Z, Data Science with Machine Learning A-Z, Deep Learning A-Z, Pandas, Numpy and R Statistics

What you’ll learn

Python, Python Data science, Machine learning, Deep Learning, R, Numpy, Pandas, Matplotlib

Python instructors on Udemy specialize in everything from software development to data analysis, and are known for their effective, friendly instruction

Fundamental stuff of Python and its library Numpy

What is the AI, Machine Learning and Deep Learning

History of Machine Learning

Turing Machine and Turing Test

The Logic of Machine Learning such as Machine Learning models and algorithms, Gathering data, Data pre-processing, Training and testing the model etc.

What is Artificial Neural Network (ANN)

Anatomy of NN

Tensor Operations

Machine learning is constantly being applied to new industries and new problems. Whether you’re a marketer, video game designer, or programmer, I am here to hel

Machine learning isn’t just useful for predictive texting or smartphone voice recognition.

The Engine of NN

Keras

Tensorflow

Convolutional Neural Network

Recurrent Neural Network and LTSM

Transfer Learning

Machine Learning

Deep Learning

Machine Learning with Python

Python Programming

Deep Learning with Python

If you have some programming experience, Python might be the language for you

Learn Fundamentals of Python for effectively using Data Science

Data Manipulation

Learn how to handle with big data

Learn how to manipulate the data

Learn how to produce meaningful outcomes

Learn Fundamentals of Python for effectively using Data Science

Numpy arrays

Series and Features

Combining Dataframes, Data Munging and how to deal with Missing Data

How to use Matplotlib library and start to journey in Data Visualization

Also, why you should learn Python and Pandas Library

Learn Data Science with Python

Examine and manage data structures

Handle wide variety of data science challenges

Select columns and filter rows

Arrange the order and create new variables

Create, subset, convert or change any element within a vector or data frame

Transform and manipulate an existing and real data

The Logic of Matplotlib

What is Matplotlib

Using Matplotlib

Pyplot – Pylab – Matplotlib

Figure, Subplot, Multiplot, Axes,

Figure Customization

Data Visualization

Plot Customization

Grid, Spines, Ticks

Basic Plots in Matplotlib

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

R and Python in the same course. You decide which one you would go for!

R was built as a statistical language, it suits much better to do statistical learning and R is a statistical programming software favoured by many academia

Since R was built as a statistical language, it suits much better to do statistical learning.

You will learn R and Python from scratch

Because data can mean an endless number of things, it’s important to choose the right visualization tools for the job.

you’re interested in learning Tableau, D3 js, After Effects, or Python, has a course for you.

Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Machine Learning, and more!

What is Python? Python is a general-purpose, object-oriented, high-level programming language.

Python vs. R: what is the Difference? Python and R are two of today’s most popular programming tools.

What does it mean that Python is object-oriented? Python is a multi-paradigm language, which means that it supports many programming approaches.

What are the limitations of Python? Python is a widely used, general-purpose programming language, but it has some limitations.

How is Python used? Python is a general programming language used widely across many industries and platforms.

What is data science? We have more data than ever before. But data alone cannot tell us much about the world around us.

What does a data scientist do? Data Scientists use machine learning to discover hidden patterns in large amounts of raw data to shed light on real problems.

What are the most popular coding languages for data science? Python is the most popular programming language for data science.

Python, on the other hand, is a better choice for machine learning with its flexibility for production

It represents the way statisticians think pretty well, so anyone with a formal statistics background can use R easily.

Python Data Science, Python deep learning, machine learning

Who this course is for:

Anyone interested in data sciences

Anyone who plans a career in data scientist,

Software developer whom want to learn data science,

Anyone eager to learn Data Science with no coding background

Statisticians, academic researchers, economists, analysts and business people

Professionals working in analytics or related fields

Anyone who is particularly interested in big data, machine learning and data intelligence

People wwho want to learn python data science, deep learning, R programming, machine learning

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