Complete Python Data Science, Deep Learning, R Programming

Complete Python Data Science, Deep Learning, R Programming | Udemy
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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