Udemy - 2021 Machine Learning Regression Models

What you'll learn:
Overview of Machine Learning Regression and its Applications
Data Pre-Processing - Normalization, Standardization, Discretization, Feature engineering
Run Linear Regression on a dummy data set and Kaggle data sets
Exploratory Data Analysis with visualizations
Put together a full machine learning Pipeline
The Linear Regression models showdown
Polynomial versus linear regression on real world data sets
Build Regression models using Support Vector Regression
Build Regression models using Decision Tree Regression
Build Regression models using Random Forest Regression
Build Regression models using Artificial Neural Network Regression
The Non-Linear Regression showdown
Action steps after every module that is similar to real-life projects
Advanced lessons that are not included in most deep learning courses out there
Apply your new-found knowledge through the Capstone project
Download Jupyter files that contain live codes, simulations and visualizations that experts use.
Requirements
Basic Python programming experience
Description
Big Chunks of Data Will Take Over the World Soon, and There's Nothing You Can Do About It!
But, I can tell you how to make a career out of it if you want to earn a lot of money in the future. So, don't exit this page without reading what I am about to tell you.
Dear Digital Adventurer,
Datafication of lives and other things started when the internet was first created. Now, we're nearing to the point where everything will be turned into digital information.
This is the reason many businesses are looking for experts to help them take advantage of this trend and position themselves as one of the leaders of their industry.
They do this by collecting information and using them as variables to predict possible problems and solutions that will help their business and customers.
If you're someone who is looking for the next big thing after the IoT or cryptocurrency, then this is something you should look forward to.
Just like its predecessors, Datafication opens up a lot of opportunities...
Especially in the data science industry!
So, if you are a machine learning or deep learning developer, and you want to take it to the next level, then this is definitely for you!
So, what's the next level?
I know this is your question...
You've always wondered what is the next step after learning the basics of machine learning and deep learning, right?
So, to answer this question...
The next step is to learn Regression Analysis Models!
If you're unsure what this is, here's a simple explanation:
Regression models consist of a set of machine learning methods that allow us to predict a continuous outcome variable based on the value of one or multiple predictor variables. Its goal is to build a mathematical equation that defines the dependent variable as a function of the predictor variables.
It means you'll be dealing with numbers and a lot of data when using this model.
What does it do with the opportunities you mentioned earlier?
The answer: Everything.
You see, understanding the concepts of regression models and implementing them properly provides two major benefits in a business.
First, it helps the company predict the future demand for their products or services. This means they can adjust their processes accordingly to make sure they can provide the quality they've promised to their customers.
Second, it allows them to fine-tune their operations and improve the quality of their products and services.
So, why is this important for businesses?
The simple answer is it greatly affects the revenue they generate.
The better problems they solve, the more money that comes in.
What's in it for you?
Remember, I mentioned earlier that you will greatly benefit from this trend, right?
If you are looking for a lucrative career where you can earn a hefty amount of money, then this is for you.
A lot of companies will be looking for the best data scientists, machine learning, or deep learning expert out there.
This means the trend is just starting...
So, you have the chance to ride the tide as early as now and reap what you sow later on.
You have to start planting the seeds of knowledge within you that will make companies want you to work with them.
And if you already have the basic knowledge of machine learning and deep learning, you are already ahead of the pack!
Now, this doesn't mean they can't catch up to you.
This is why the only way to stay ahead is to continuously improve your knowledge!
So, here's the deal...
We want to offer you the chance to learn the advanced lessons that will help you use your machine learning and deep learning lessons easily in your day-to-day tasks!
The ONLY course you will ever need to take your machine learning and deep learning knowledge to the next level!
Our Course is for:
ASPIRING DEVELOPERS - who want to improve their skills without wasting so much time searching for answers on internet.
BUSINESS ANALYSTS - who want to become better in making data-driven decisions.
STARTUP TECHNOPRENEURS - who want to become better in machine learning and data science.
If you're any of these, then this course is designed to help you in the easiest and most efficient way possible.
Pre-requisite:
Basic Python programming experience.
Here's What You'll Learn Through Our Course:
Overview of Machine Learning Regression and its Applications
Data Pre-Processing - Normalisation, Standardisation, Discretisation, Feature engineering
Run Linear Regression on a dummy data set and Kaggle data sets
Exploratory Data Analysis with visualisations
Put together a full machine learning Pipeline
The Linear Regression models showdown
Polynomial versus linear regression models on real world data sets
Build Regression models using Support Vector Regression
Build Regression models using Decision Tree Regression
Build Regression models using Random Forest Regression
Build Regression models using Artificial Neural Network Regression
The Non-Linear Regression models showdown
Action steps after every module that is similar to real-life projects
Advanced lessons that are not included in most machine learning courses out there
Apply your new-found knowledge through the Capstone project
Download Jupyter files that contain live codes, simulations and visualizations that experts use.
You also get these exciting FREE EXTRAS !
EXTRAS #1: Big Insider Secrets
These are industry secrets that most experts don't share without getting paid for thousands of dollars. These include how they successfully debug and fix projects that are usually dead-end, or how they successfully launch a machine-learning program.
EXTRAS #2: 4 Advanced Lessons
We will teach you the advanced lessons that are not included in most machine learning courses out there. It contains shortcuts and programming "hacks" that will make your life as a machine learning developer easier.
EXTRAS #3: Solved Capstone Project
You will be given access to apply your new-found knowledge through the capstone project. This ensures that both your mind and body will remember all the things that you've learned. After all, experience is the best teacher.
EXTRAS #4: 20+ Jupyter Code Notebooks
You'll be able to download files that contain live codes, narrative text, numerical simulations, visualizations, and equations that you most experts use to create their own projects. This can help you come up with better codes that you can use to innovate within this industry.
Who this course is for
ASPIRING DEVELOPERS - who want to improve their skills without wasting so much time searching for answers on internet.
BUSINESS ANALYSTS - who want to become better in making data-driven decisions.
STARTUP TECHNOPRENEURS - who want to become better in machine learning and data science.
Homepage
https://www.udemy.com/course/2021-machine-learning-regression-models/


Udemy - 2021 Machine Learning Regression Models Fast Download
Udemy - 2021 Machine Learning Regression Models Full Download