Machine Learning Profits: Top 5 Python Machine Learning Libraries You Must Learn in 2021-0daytown

Duration: 4h 27m | Video: .MP4, 1280×720, 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 1.39 GB
Genre: eLearning | Language: English

Want To Become A Top-Notch Machine Learning Developer That Big Corporations Will Always Scout?

Are you struggling to improve your machine learning development skills?

Do you feel like you’re stuck and never seem to become better no matter how many projects or programming you do?

Does it bother you so much that you feel like your career is stagnant in this field?
Then, keep reading because there are no other places that can provide you the knowledge that you’re seeking…
(You can try searching google but I guarantee you that what we’re about to teach you isn’t available anywhere else.)

The demand for machine learning developers is rising. In just a few years, more opportunities will open.

Soon, more people will start to pay attention to this trend and many will try to learn and improve as much as they can to become a better machine learning developer than others.

This means that you will have more competitors than ever…

… And if you don’t improve your skill, you will be left behind and be stuck in the middle of the pack where you’re undervalued and underpaid by companies.

So, if you’re feeling stuck and don’t seem to improve is not because you aren’t talented and fit in this field.

The reason for this is because…

You’re Probably Relying on Free Information Found in Forums and Search Engines!

To be honest, this is common practice for most people.

After all, you can find tons of information online just by using the right words…

However, some information online can be misleading and cause confusion and contradiction.

And if you think about it, trade secrets and important information aren’t just given away by industry experts for free.

This is why the free information that you get isn’t reliable.

Truth be told, machine learning development is a lucrative career.

You can earn tons of money because of your possible contributions to a business’s development.

But, if you fail to improve and become better, you won’t be able to maximize your growth in this field and…

You Will Be Stuck in Mediocrity and Never Be Able to Maximize Your Potential Earnings!

Companies like Amazon and Google pay professional machine learning developers around $140,000 annually.

Imagine, if you have the potential to earn this much, how much your life will change?

You will be able to pay off those bills and loans that you have with ease and never think about where to get the money to pay them off.
You can buy your dream house and car without worrying about your credit score approval.
You’ll be able to travel anywhere in the world because you have the money to spend. And the best part, you won’t worry about being frugal during your travel.
You’ll be able to save enough money to start your own tech business. Some of the world’s best started as an employee before they became an entrepreneur. With this amount of money, you might do it easier than others.
If you want to reach your dreams, you have to make this work. And, you know, deep down, you want to make it work as well because you want to live a better financial life than others.

Your True Journey Toward Improving Your Machine Learning Development Skill Starts Here…

You will never have to search every corner of the internet to find your way to improve your machine learning development skills.

This is why we are here to help people like you take the next step and become a top-notch professional.

We will share with you tons of information and secrets that only the industry experts know.

Our High-Value Training Program Is For:

STARTUP TECHNOPRENEURS who wants to become better in machine learning and data science.
BUSINESS ANALYSTS who want to become better in making data-driven decisions.
ASPIRING DEVELOPERS that are looking for ways to improve their skills without wasting so much time searching for answers in the internet.
If you’re any of these, then this program 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:

Introduction to the Top Machine learning modules, APIs and installation:
Scikit-learn, MLxtend, XGBoost, Eli5, PyMC3
Use Scikit Learn for;
Data Preprocessing
Feature Encoding methods
Dimensionality Reduction
Principal Component Analysis
Model Selection Using Optimization
Supervised Learning – Base model
Unsupervised learning – K-means Clustering
Use MLxtend for;
Math API,
Classifier API for model building
Regressor model building
Model Plotting and
Feature Selection
Use XGBoost for;
DMatrix Conversion
Parameters
Model Building and Training
Feature Importance Plots
Use Eli5 for;
Explanation of Weights and Predictions
Eli5 XGBoost model Explanation
Explanation for Text Based Data
Use PyMC3 for;
Generating Probabilistic Distribution
PyMC3 Distribution with Model
PyMC3 Distribution without Model
Model Building
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.