Data Science 2021 : Complete Data Science & Machine Learning

Data Science 2021 : Complete Data Science & Machine Learning
MP4 | Video: h264, 1280×720 | Audio: AAC, 48000 Hz

Machine Learning A-Z, Data Science, Python for Machine Learning, Math for Machine Learning, Statistics for Data Science

What you’ll learn
Learn Complete Data Science skillset required to be a Data Scientist with all the advance concepts
Master Python Programming from Basics to advance as required for Data Science and Machine Learning
Learn complete Mathematics of Linear Algebra, Calculus, Vectors, Matrices for Data Science and Machine Learning.
Become an expert in Statistics including Descriptive and Inferential Statistics.
Perform data Processing using Pandas and ScikitLearn
Master Regression with all its parameters and assumptions
Solve a Kaggle project and see how to achieve top 1 percentile
Get complete understanding of deep learning using Keras and Tensorflow
Become the Pro by learning Feature Selection and Dimensionality Reduction

Description
Data Science and Machine Learning are the hottest skills in demand but challenging to learn. Did you wish that there was one course for Data Science and Machine Learning that covers everything from Math for Machine Learning, Advance Statistics for Data Science, Data Processing, Machine Learning A-Z, Deep learning and more?

We are going to execute following real-life projects,

Kaggle Bike Demand Prediction from Kaggle competition

Automation of the Loan Approval process

The famous IRIS Classification

Adult Income Predictions from US Census Dataset

Bank Telemarketing Predictions

Breast Cancer Predictions

Predict Diabetes using Prima Indians Diabetes Dataset

Today Data Science and Machine Learning is used in almost all the industries, including automobile, banking, healthcare, media, telecom and others.

As the Data Science and Machine Learning practioner, you will have to research and look beyond normal problems, you may need to do extensive data processing. experiment with the data using advance tools and build amazing solutions for business. However, where and how are you going to learn these skills required for Data Science and Machine Learning?
Understanding of the overall landscape of Data Science and Machine Learning

Different types of Data Analytics, Data Architecture, Deployment characteristics of Data Science and Machine Learning projects

Python Programming skills which is the most popular language for Data Science and Machine Learning

Mathematics for Machine Learning including Linear Algebra, Calculus and how it is applied in Machine Learning Algorithms as well as Data Science

Statistics and Statistical Analysis for Data Science

Data Visualization for Data Science

Data processing and manipulation before applying Machine Learning

Machine Learning

Ridge (L2), Lasso (L1) and Elasticnet Regression/ Regularization for Machine Learning

Feature Selection and Dimensionality Reduction for Machine Learning models

Machine Learning Model Selection using Cross Validation and Hyperparameter Tuning

Cluster Analysis for unsupervised Machine Learning

Deep Learning using most popular tools and technologies of today.

This Data Science and Machine Learning course has been designed considering all of the above aspects, the true Data Science and Machine Learning A-Z Course. In many Data Science and Machine Learning courses, algorithms are taught without teaching Python or such programming language. However, it is very important to understand the construct of the language in order to implement any discipline including Data Science and Machine Learning.

Also, without understanding the Mathematics and Statistics it’s impossible to understand how some of the Data Science and Machine Learning algorithms and techniques work.

Data Science and Machine Learning is a complex set of topics which are interlinked. However, we firmly believe in what Einstein once said,

"If you can not explain it simply, you have not understood it enough."

As an instructor, I always try my level best to live up to this principle. This is one comprehensive course on Data Science and Machine Learning that teaches you everything required to learn Data Science and Machine Learning using the simplest examples with great depth.

As you will see from the preview lectures, some of the most complex topics are explained in a simple language.

Some of the key skills you will learn,

Python Programming

Advance Mathematics for Machine Learning

Advance Statistics for Data Science

Data Visualization

Data Processing

Machine Learning

Feature Selection and Dimensionality Reduction

Deep Learning

You can not become a good Data Science and Machine Learning practitioner, if you do not know how to build powerful neural network. Deep Learning can be said to be another kind of Machine Learning with great power and flexibility. After Learning Machine Learning, we are going to learn some key fundamentals of Deep Learning and build a solid foundation first. We will then use Keras and Tensorflow which are the most popular Deep Learning frameworks in the world.

Kaggle Project

As an aspiring Data Scientists, we always wish to work on Kaggle project for Machine Learning and achieve good results. I have spent huge effort and time in making sure you understand the overall process of performing a real Data Science and Machine Learning project. This is going to be a good Machine Learning challenge for you.

Your takeaway from this course,

Complete hands-on experience with huge number of Data Science and Machine Learning projects and exercises

Learn the advance techniques used in the Data Science and Machine Learning

Certificate of Completion for the most in demand skill of Data Science and Machine Learning

All the queries answered in shortest possible time.

All future updates based on updates to libraries, packages

Continuous enhancements and addition of future Machine Learning course material

All the knowledge of Data Science and Machine Learning at fraction of cost
This Data Science and Machine Learning course comes with the Udemy’s 30-Day-Money-Back Guarantee with no questions asked.

I am so eager to see you inside the course.

Disclaimer: All the images used in this course are either created or purchased/downloaded under the license from the provider, mostly from Shutterstock or Pixabay.

Who this course is for:
Beginners as well as advance programmers who want to make a career in Data Science and Machine Learning