MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 47 lectures (3h 6m) | Size: 922.2 MB
Top 7 CLASSIFICATION Models You Must Know in 2021

What you'll learn:
Overview of Classification and its Applications
Build Classification models using Logistic regression in Scikit-learn
Build and visualise K-Nearest Neighbours KNN Classification models on Kaggle data sets
Build Support Vector Machines SVM Classification models
Build Naive Bayes Classification models and compare with SVM models
Build and visualise Decision Tree Classification models and compare with other models
Build and visualise Random Forest Classification models and compare with other Decision Tree model
Build Multilayer Perceptron Classification models
The Final Classification 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
Are You Ready to Master the Advanced Machine Learning Skill That Will Make You the Expert Data Scientist You Should Be?
Then, you've come to the right place! I'll tell you the framework that the best machine learning experts use to help businesses solve the crisis they're facing while positioning themselves as one of the top experts in the world!
Dear Seeker of Data Knowledge,
Are you struggling to improve your machine learning development skills?
Do you want to move forward and learn the skill that will make you a great data scientist?
If your answer is 'Yes', then continue reading because I'm about to share with you the machine learning skill that will take you from being a mediocre data scientist to an expert level.
Is Data Science the Next Big Thing?
According to a survey done by some experts, data science will be the next big thing for many businesses.
It is expected that at least 1.3 Trillion U.S. dollars in revenue will be generated because of this industry.
The reason? Data science will solve a lot of business problems and needs, which will make their whole workflow more efficient.
So, why is it important for aspiring professionals like you to learn about this?
This is because the industry is in its beginning stages...
Riding that tide as early as now will mean more opportunities for people like you.
How Do You Benefit from this?
If you are looking for a lucrative career where you can earn a lot, then becoming a machine learning expert is the thing for you!
A lot of companies will be looking for the best data scientists, machine learning, or deep learning experts to help them in their business needs.
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 to the HIGHEST 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 Classification and its Applications
Build Classification models using Logistic regression in Scikit-learn
Build and visualise K-Nearest Neighbours KNN Classification models on Kaggle data sets
Build Support Vector Machines SVM Classification models
Build Naive Bayes Classification models and compare with SVM models
Build and visualise Decision Tree Classification models and compare with other models
Build and visualise Random Forest Classification models and compare with other Decision Tree model
Build Multilayer Perceptron Classification models
The Final Classification 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 bonuses !
Bonus #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.
Bonus #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.
Bonus #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.
Bonus #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.
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What you'll learn:
Overview of Classification and its Applications
Build Classification models using Logistic regression in Scikit-learn
Build and visualise K-Nearest Neighbours KNN Classification models on Kaggle data sets
Build Support Vector Machines SVM Classification models
Build Naive Bayes Classification models and compare with SVM models
Build and visualise Decision Tree Classification models and compare with other models
Build and visualise Random Forest Classification models and compare with other Decision Tree model
Build Multilayer Perceptron Classification models
The Final Classification 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
Are You Ready to Master the Advanced Machine Learning Skill That Will Make You the Expert Data Scientist You Should Be?

Then, you've come to the right place! I'll tell you the framework that the best machine learning experts use to help businesses solve the crisis they're facing while positioning themselves as one of the top experts in the world!

Dear Seeker of Data Knowledge,

Are you struggling to improve your machine learning development skills?

Do you want to move forward and learn the skill that will make you a great data scientist?

If your answer is 'Yes', then continue reading because I'm about to share with you the machine learning skill that will take you from being a mediocre data scientist to an expert level.

Is Data Science the Next Big Thing?

According to a survey done by some experts, data science will be the next big thing for many businesses.

It is expected that at least 1.3 Trillion U.S. dollars in revenue will be generated because of this industry.

The reason? Data science will solve a lot of business problems and needs, which will make their whole workflow more efficient.

So, why is it important for aspiring professionals like you to learn about this?

This is because the industry is in its beginning stages.

Riding that tide as early as now will mean more opportunities for people like you.

How Do You Benefit from this?

If you are looking for a lucrative career where you can earn a lot, then becoming a machine learning expert is the thing for you!

A lot of companies will be looking for the best data scientists, machine learning, or deep learning experts to help them in their business needs.

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 to the HIGHEST 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 Classification and its Applications

Build Classification models using Logistic regression in Scikit-learn

Build and visualise K-Nearest Neighbours KNN Classification models on Kaggle data sets

Build Support Vector Machines SVM Classification models

Build Naive Bayes Classification models and compare with SVM models

Build and visualise Decision Tree Classification models and compare with other models

Build and visualise Random Forest Classification models and compare with other Decision Tree model

Build Multilayer Perceptron Classification models

The Final Classification 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 bonuses !

Bonus #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.

Bonus #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.

Bonus #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.

Bonus #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.