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New | Created by Meta Brains

This machine learning course will provide you the fundamentals of how companies like Google, Amazon, and even Udemy utilize machine learning and artificial intelligence (AI) to glean meaning and insights from massive data sets. Glassdoor and Indeed both report that the average salary for a data scientist is $120,000. This is the standard, not the exception.

Data scientists are already quite desirable. It's difficult to keep them on staff in today's tight labor market. There is a severe shortage of people who possess the rare combination of scientific training, computer expertise, and analytical talents.

Today's data scientists are held to the same standards as the Wall Street "quants" of the '80s and '90s. When the need arose for innovative algorithms and data approaches, physicists and mathematicians flocked to investment banks and hedge funds.

So, it's no surprise that data science is rising to prominence as a promising career path in the modern day. It is analytic in focus, driven by code, and performed on a computer. As a result, it shouldn't be a shock that the demand for data scientists has been growing steadily in the workplace for the past few years.

On the other hand, availability has been low. Obtaining the education and experience necessary to be hired as a data scientist is tough. And that's why we made this course in the first place!

Each topic is described in plain English, and the course does its best to avoid mathematical notations and jargon. Once you have access to the source code, you can experiment with it and improve upon it. Learning and applying these algorithms in the real world, rather than in a theoretical or academic setting, is the focus of this course.

Each video will leave you with a new perspective that you can implement right away!

If you have no background in statistics, don't let that stop you from enrolling in this course; we welcome students of all levels.

What you'll learn

• Gain familiarity with Pandas, a data analysis tool
• Get a grasp on the theory behind basic and multiple linear regression
• Tackle regression problems easily
• Discover the logic behind decision trees
• Acquaint yourself with the various clustering algorithms

New | Created by Moein Ud Din

Learn Deep Learning from scratch. It is the extension of a Machine Learning, this course is for beginner who wants to learn the fundamental of deep learning and artificial intelligence. The course includes video explanation with introductions (basics), detailed theory and graphical explanations. Some daily life projects have been solved by using Python programming. Downloadable files of ebooks and Python codes have been attached to all the sections. The lectures are appealing, fancy and fast. They take less time to walk you through the whole content. Each and every topic has been taught extensively in depth to cover all the possible areas to understand the concept in most possible easy way. It's highly recommended for the students who don’t know the fundamental of machine learning studying at college and university level.

What you'll learn

• Introduction to Deep learning, resemblance of artificial neural network and biological neural network
• Activation function and its types, Application of activation function, Linear activation function, Non-linear activation function
• Types of activation function: Step function, Sign function, Linear function, ReLU function, Leaky ReLU function, Tangent Hyperbolic function, Sigmoid, Softmax
• Artificial neural network, ANN model, Complex ANN model, Labelled ANN model, Forward ANN, Backward ANN, ANN python project
• Convolutional Neural Network (CNN), CNN block diagram, Filter or Kernel, Types of filters, Stride, Padding, Pooling, Flatten, CNN Python project
• Recurrent Neural Network (RNN), RNN model, Operation of RNN model, Types; One-one RNN model, One-many RNN model, Many-many RNN model

• New
• Created by Aymen kani

Is Nodejs the best choice for me?

Node.js is the most popular server-side programming language, and that's due to the huge community and contributors that makes learning Node.js not only easy but you will also have a fun time building server-side apps with it.

Node.js developers are in high demand, that's because the language itself is used for, not only APIs, but also in automated programs and workflows.

If you want to get a job as a backend developer or even in front-end you need to learn Node.js, trust me companies will appreciate a developer with Node.js skills!!

Node.js with Typescript is what companies are looking for, trust me! you don't want to go to a back-end job interview with only Node.js without Typescript! they will look at you, not only as a beginner, but also as a little child playing!

In this course I will take care of you! you will learn Advanced Node.js with Typescript and you will build projects that will catch the eye of any hiring company or the eye of any professional developer!

What you'll learn

• Master the entire modern back-end stack: Node, Express, Nestjs, Graphql, MongoDB and Mongoose with Typescript
• Learn how to create npm packages with nodejs and typescript
• Learn: SocketIO, Stripe, Graphql, Typeorm, github/actions, CI/CD
• NestJs: build advanced APIs
• Learn how you should structure your nodejs project in a professional way
• How to use mongoose with Typescript
• Error handling in node js with expresjs
• Security: encryption, sanitization, cookie session, etc
• Learn how to hide passwords and confidential data in the right way
• Deep dive into mongoose (including advanced features)
• Learn how to test a nodejs api with automated tests
• Create a professional documentation for your api
• Upload multiple images and manage them inside MongoDB database
• Use Modern Javascript syntax

• New
• Created by Asfend Yar Hamid

Welcome to the First Real World App Development course with .NET MAUI.

I'm Asfend Microsoft Most Valuable Professional (MVP) and Xamarin University Most Valuable Professional and in this course I'll explain you every single aspect of real world application in .NET MAUI.

This courses teaches you how to code and build beautiful Android and iOS apps by using .NET MAUI 

By getting this course, you can be rest assured that the course is carefully thought out and edited. And I'm always happy to answer student questions.

So by the end of the course, you'll be able to :

What you'll learn

• Make Real Estate App with .NET MAUI
• Work as a freelance .NET MAUI developer
• Create your first .NET MAUI Real World Application
• Build fully-fledged apps for your startup or business
• Deploy Rest Api's to Microsoft Azure & Third Party Hosting Provider
• Consume Restful api's in .NET MAUI

• New
• Created by Raj Chhabria

Description

Learn how to use Numpy and Pandas for Data Analysis. This will cover all basic concepts of Numpy and Pandas that are useful in data analysis.

Learn to create impactful visualizations using Matplotlib and Seaborn. Creating impactful visualizations is a crucial step in developing a better understanding about your data.

This course covers all Data Preprocessing steps like working with missing values, Feature Encoding and Feature Scaling.

Learn about different Machine Learning Models like Random Forest, Decision Trees, KNN, SVM, Linear Regression, Logistic regression etc... All the video sessions will first discuss the basic theory concept behind these algorithms followed by the practical implementation.

Learn to how to choose the best hyper parameters for your Machine Learning Model using GridSearch CV. Choosing the best hyper parameters is an important step in increasing the accuracy of your Machine Learning Model.

You will learn to build a complete Machine Learning Pipeline from Data collection to Data Preprocessing to Model Building. ML Pipeline is an important concept that is extensively used while building large scale ML projects.

This course has two projects at the end that will be built using all concepts taught in this course. The first project is about Diabetes Prediction using a classification machine learning algorithm and second is about prediciting the insurance premium using a regression machine learning algorithm.

What you'll learn

• Students will develop understanding of libraries used for Data Analysis like Pandas and Numpy.
• Learn to create impactful visualizations using Matplotlib and Seaborn. By creating these visualizations you will be able to derive better conclusions from data.
• After this course you will learn to build complete Data Science Pipeline from Data preparation to building the best Machine Learning Model.
• The course contains practical section after every new concept discussed and the course also has two projects at the end.

Highest rated | Created by Expert Academy, Lahcen Bouya

There is more to productivity than just keeping a calendar and a to do list – A lot more!

Stats indicate that on average an employee is productive less than 3 hours a day!

To some this may come as a shocking statistic, but the reality is truly productive people are the exception not the rule.

The main reasons why most people aren't highly productive vary and can be summed up in a list we call The enemies of

What you'll learn

• Habit Mastery: Take Control Of Your Habits For Higher Productivity
• Goal Setting: Set Goals & Crush Them Every Time
• Time Management: Manage Your Time Effectively
• Stress Management: Manage / Prevent Stress
• Burnout Prevention: Avoid Getting Burned Out & Maintain Higher Productivity Levels Long Term
• Neurohacking: Hack Your Brain For Better Focus, Accelerated Learning & High Performance
• Overcoming Information Overload: Manage Information Overload & Avoid Being Overwhelmed

Highest rated | Created by Seyitbek Usmanov

What you'll learn

• Identify the steps to apply for your dream job
• Tips for passing 3 essential Salesforce certifications
• 3 ideas for career changers to stand out
• Build a winning LinkedIn profile
• 5 things to highlight in resume of a career changer
• How to pass interviews

Description

THIS COURSE IS BUILT TO HELP YOU LAND THAT SALESFORCE JOB!

ACE THE SALESFORCE JOB INTERVIEW!

Are you wanting a job in an industry that has better benefits than any other?

We use Salesforce on a daily basis to drive organizational performance. And now, we want to share my knowledge and expertise with you.

This course is intended for those who are trying to break into Salesforce and find a job in the Salesforce ecosystem. Salesforce is growing every day and there is a massive demand for qualified specialists. So, if you have been studying it and got your certifications, but still have no luck landing a job, this course is for you!

In this course together we will go over the following topics:

We will talk about your very own Salesforce project

We will show you ways how to create your own Salesforce portfolio

We will discuss the strategies to prepare for the job interviews

This course answers the question "What do I need to do well before I start applying for Salesforce jobs?" If you follow all the steps from the course I am quite hopeful that you will get a job offer! Are you ready to unleash your superpowers?

Who this course is for:

• Anyone who wants to boost their career through a Salesforce job
• Individuals who are Salesforce Certified BUT can't seem to land the Salesforce job they deeply want
• If you are a fresh graduate and looking to get a job in Salesforce
• Every Salesforce enthusiast can take this Course to build a career on this platform
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Hot & new | Created by Sagnik Bhattacharya, Paulina Knop