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100X Acceleration by Pedro Adao

Pedro Adao - 100X Accelerator | 68.56 GB​

Acceleration Is A 12-Month Membership Into The #1 Community and Training Program For Kingdom Entrepreneurs In The World!
Do You Want To Take Years And Potentially Decades Off Your Learning Curve?

Would You Like To Save Yourself Potentially Hundreds Of Thousands Of Dollars In Wasted Time and Mistakes?
I Made All The Mistakes On My Journey Into Prosperity As A Kingdom Entrepreneur So You Dont Have To...
If You Want The Fast-Track To Unlocking Financial Abundance and Prosperity as A Kingdom Entrepreneur...
All While Being Part Of The Most Incredible Family Of Like-Minded People From All Over The World...
Then Acceleration Is For YOU!

What You Get:
Praying for our leaders, community, families, and morehappening daily
Our members can participate in these group calls to lean into heart healing and mind renewal through encounter with the Lord
1 Hour Live Zoom Training Sessions on all things Kingdom Entrepreneurship with Pedro Adao, Holli Peel, & 100X Members
Keith talks about how allowing the prophetic into your life can help guide you in your business
Stephen does a live zoom call every week helping answer community questions in regards to business, funnels, ads, etc
Ramie discusses retirement plans, investments, and setting yourself up to live financially free, showing you how to live the life you were meant to live without having a fear of running out of money

Homepage:

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Screenshots

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Zero-to-Hero HTML Course for Beginners

Zero-to-Hero HTML Course for Beginners
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 5.62 GB | Duration: 12h 54m

This HTML Zero-to-Hero Course Teaches You HTML and CSS in an unique in-detail way.


What you'll learn
HTML Basics
Basic Syntax of HTML in-detail
CSS Styling and start CSS from scratch
How to make a personal portfolio using HTML and CSS
About Bootstrap and Latest Technologies
Guidelines and Tips
Use of Fonts, Royalty free images, Font icons and find Color themes
How to Host the personal portfolio made in the course for free


Description
Hi and welcome to the HTML Zero-to-Hero HTML Course for beginners. My name is Tithira, and I'll be your instructor for the course. This course will help you master HTML and CSS easily with practical examples. We will cover the basics of both languages in-detail and make a personal portfolio using what we learnt throughtout the course. We will also host it in seconds for the whole world to see.

This course of more than 40 lectures and nearly 12 hours of content gives you a basic, yet thorough understanding of both HTML and CSS. The course focuses on having you begin writing code right away so you can learn through doing, and test your knowledge with the Brain Teasers and quizes at the end of each section.

My goal for this entire course isn't just to teach you how to build a single website, but instead my goal is to teach you how to continue your career and teach what other tutors fail to teach you.

The Key Topics covered in this course are:

Basics of HTML and CSS

HTML colors and choosing colors for your designs (Art Guide)

Embedding Media into Webpages

Styling elements using CSS

Use of latest technologies including Content Delivery Networks, Optimizing Images

Making of the Personal Porfolio

Guide to SEO and uses

This Course comes with:

Over 40 lessons

Cheatsheets with code examples

Downloadable resources and pre-noted important parts in the lessons

Direct access to me through the Q&A section

A certificate of completion

Quizzes at the end of each module

A Moderate quiz to brush what you learnt

Homepage

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Building a Medieval City

Building a Medieval City
Duration: 10h | Project Files Included | Video: 1920x1080, 48kHz | 7.86 GB
Genre: eLearning | Language: English | Beginner to Intermediate

Introducing Jan Trubac, an incredible artist, famous for winning Adobe/Allegorithmic's Substance Insanity Award with his mind blowing Metropolitan City project. He has now teamed up with Levelup Digital to bring you a truly inspirational tutorial on how to create a Medieval City using nothing but Substance Designer.

With inspiration from real-life Google Maps data, he accurately and with impressive detail - as well as ingenious use of Substance Designer nodes, demonstrates how to replicate satellite data. Using the lessons he's learned from his previous Metropolitan City project, Jan shares best practices and common pitfalls when tackling this type of project.

In this tutorial, Jan shares his workflow for creating terrains and forests. For the city, he dives into how to use functions with basic logic to create wall and tower generators. You'll learn how to build various objects like trees, bushes, rocks, as well as how to approach more complex structures like towers and a cathedral. You will also learn how to keep your graphs optimized without hurting the visual quality of the output. This tutorial is packed with lessons for anyone looking to push their creativity within Substance Designer.

Whether you are new to Substance Designer, or a seasoned user, the lessons from this tutorial will give you a great understanding of the core principles of SD, as well as equipping you with skills and knowledge to tackle large scale terrain/city projects like this.

Chapters

Creating the Base Forest
Walls and Towers
Building walls and Outer terrain
Inner City
Forest Features
Finishing Touches
Software Used

- Substance Designer

Level

Beginner to Intermediate

Prerequisite

Basic knowledge of software used

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Python Programming 2021 Full Coverage: A Practical Approach (Updated 08/2021)

Python Programming 2021 Full Coverage: A Practical Approach (Updated 08/2021)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 96 lectures (14h 40m) | Size: 14.2 GB

Theory, Lab programs, and Tutorials on Job Interview Questions and Solutions of problems from University Exam papers

What you'll learn:
Python Programming
Programming Paradigms
Develop a program for a given problem
Python Syntax and important Libraries
Python Image Library(PIL)
Data Visualization with Matplotlib
Play Music using Python library
Pandas Library
Math Library functions
Python NumPy library
Solutions for Python problems from University exam questions
Discussion on Job Interview questions on Python and related topics

Requirements
Logical Reasoning skill
School level Mathematics


Description
In this course, we teach Python Language using a practical approach. For every concept and syntax, elaborate details are given with a practical example. For every topic, we introduce the required. level of theory, explain the syntax, and illustrate using several example programs. The Tutorial Videos give coaching on Job Interview questions and solutions for problems from university examination papers. The following topics first with a sufficient number of practical examples:

1. Introduction and basics of to Python

2. Assignment Statements

3. Input Statement and Output Statements

4. Math Library functions

5. Datetime Library - date, time, datetime, timedelta

6. Control structures such as IF statement

7. Loop Structures such as For Loop and While Loop

8. List, Tuple, and Set

9. String Manipulation

10. User-Defined Functions

11. Data Files - File Manipulation

12. Drawing with Python Image Library (PIL)

13. Data Visualization using Matplotlib

14. Database Management using Python Pandas Data Frames

15. Playing Music with Python programs

We introduce some important Python Libraries such as Math, Pandas, Matplotlib, NumPy, and PIL.

Examples are chosen for each of the concepts so that the student understands the concept easily. In Math Library, we introduce all the important Functions such as Math constants, number functions, trigonometric functions, logarithmic functions, distance, permutation combination, and LCM / GCD. In introducing Pandas Dataframe, we have used a simple database and explained all the data frame methods and commands. By introducing PIL, we have illustrated the library capabilities such as load and display a picture, Image processing operations such as Sharp, Blur, and embodying. We have written programs for drawing rectangles and other shapes on a picture. We have used PIL.ImageFont library to write text on the image.

In Matplotlib, we have introduced Python programs for drawing line graphs, bar charts, scatter diagrams, horizontal bars, and pie chart.

We have added Tutorial videos for discussing the solutions for problems asked in university examinations globally.

Who this course is for
Programmers
Students of Computer Science and Engineering, Mathematics, Physics, Statistics, Other Engineering
IT Professionals, College and High School Students
Software Developers
Bright Children who aspire to become Software professionals

Homepage

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Ethereum Blockchain - Decentralized Financial Application

Ethereum Blockchain - Decentralized Financial Application
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 14.6 GB | Duration: 16h 27m

Learn how to build a fully decentralized application for trading derivatives on the Ethereum network. This course covers full-stack development along with smart contract design and implementation. Throughout this course, detailed descriptions and insight is given into the engineering process for decentralized finance. More importantly, students will gain an advanced understanding of how to design Single Page Applications through the Meteor framework while utilizing important NPM packages to combine Web3 and Javascript.

Homepage

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Udemy - IELTS - Speaking Course

Udemy - IELTS - Speaking Course
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 7 lectures (7h 24m) | Size: 5.6 GB

IELTS Prep course - Major Ideas to achieve desired score

What you'll learn:
Achieve 7+ Score in all section of IELTS
IELTS Speaking Module
Guidance on IELTS Exam
Learn Beginner English

Requirements
None


Description
In this fast-paced world it's imperative to use latest technology in the field of education for the betterment of the students. Navkar Institute has been coaching students from across the country in their classroom study program for over two decades and have received many requests to do something for the students who are not able to attend classroom program because of locational constraint. Navkar Digital Institute aims to serve the coaching needs of such students who are at remote locations through a specially designed Distance Learning Program.

The International English Language Testing System, or IELTS, is an international standardized test of English language proficiency for non-native English language speakers. Score Range for this Test is 0 to 9, in 0.5 band increments.

Do you need a Band 7+? Have you tried repeatedly and not made progress? Do you need an actual guide to Band 7 success?

This course is a IELTS preparation course for Speaking Modules. It covers both academic and general IELTS exam. You will get guidance on how to appear for the IELTS exam, tricks and tips to achieve desired score. It focuses on teaching the skills and techniques required to sit for the test.

We do not provide books along with this course. You can use IELTS preparatory course books available with you.

You will study Speaking skills in this course.

Who this course is for
Students who wish to achieve 7+ Score in all section of IELTS
Students who wish to study IELTS Speaking Module
Students who wish to get guidance on IELTS Exam
Students who wish to learn Beginner English

Homepage

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Jetpack Compose Crash course for Android using Kotlin

Jetpack Compose Crash course for Android using Kotlin
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.48 GB | Duration: 9h 51m

Build modern Android apps with Jetpack Compose and explore the integrations with MVVM, Coroutines, ViewModel, LiveData, Retrofit and Navigation.

Tired of creating Android UIs and layouts in XML? Jetpack Compose comes to the rescue!

Jetpack Compose is Android's modern toolkit for building native UI. It simplifies and accelerates UI development on Android. Compose allows to quickly bring your app to life with less code, powerful tools, and intuitive Kotlin APIs.

This course will teach you the basics and fundamental concepts behind Compose while creating tons of cool modern layouts and designs. We will dive deep in the concepts behind Compose as we will build awesome Android UI widgets. We will also explore the integrations between Compose and other Jetpack libraries: ViewModel, LiveData, and Navigation by adding them all together in an MVVM architecture. We will study integrations between Jetpack Compose and other popular libraries on Android like Coroutines and Retrofit.

And remember, you need no prior Android or Kotlin experience! We will learn everything from scratch!

I can't wait for you to join me in this course!

More on Compose:

Compose simplifies and accelerates UI development on Android allowing you to build modern looking apps. It allows to quickly bring your app to life with less code, powerful tools, and intuitive Kotlin APIs. It follows the same Declarative paradigm approach as React Native, Flutter and SwiftUI. So this is the trend!

You can buid better apps faster with Jetpack Compose, Android's modern toolkit for building native UI. With Jetpack Compose now past 1.0.0, it's time to try it out for yourself!

Homepage

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Java Bootcamp 2021: 10 Web Application Development Projects

Java Bootcamp 2021: 10 Web Application Development Projects
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 82 lectures (18h 14m) | Size: 6.4 GB

Comprehensive programming Course, Build 10 Real World Projects Using Java JSP, JDBC, Servlets, Swing, Maven, Spring Boot

What you'll learn:
Get real-world experience by developing an Java based Web application using technologies like JSP, Servlets
Master Object-Oriented Programming concepts by using a real-world application as a case study
Gain in-depth understanding of core & advanced features of Java
Master design principles, best practices and coding conventions for writing well-designed, professional Java code

Requirements
Knowledge Of JAVA


Description
Why you should learn Java Programming Language

Here is the list of 10 reasons

1. Java is Easy to learn

Many would be surprised to see this as one of the top reasons for learning Java or considering it as the best programming language, but it is. If you have a steep learning curve, it would be difficult to get productive in a short span of time, which is the case with most professional projects.

Java has fluent English like syntax with minimum magic characters like Generics angle brackets, which makes it easy to read Java programs and learn quickly.

2. Java is an Object-Oriented Programming Language

Another reason, which made Java popular is that it's an Object Oriented Programming language. Developing an OOP application is much easier, and it also helps to keep the system modular, flexible, and extensible.
Once you have knowledge of crucial OOP concepts like Abstraction, Encapsulation, Polymorphism, and Inheritance, you can use all those with Java. Java itself embodies many best practices and design patterns in its library.

3. Java has Rich API

One more reason for the Java programming language's huge success is its Rich API, and most importantly, it's highly visible because it comes with Java installation.
When I first started Java programming, I used to code Applets, and those days Applets provides excellent animation capability, which amazes new programmers like us, who are used to code in Turbo C++ editor.

4. Powerful development tools e.g., Eclipse, Netbeans

Believe it or not, Eclipse and Netbeans have played a huge role in making Java one of the best programming languages. Coding in IDE is a pleasure, especially if you have coded in DOS Editor or Notepad.
They not only help in code completion but also provides a powerful debugging capability, which is essential for real-world development. Integrated Development Environment (IDE) made Java development much more comfortable, faster, and fluent. It's easy to search, refactor, and read code using IDEs.

5. Great collection of Open Source libraries

Open-source libraries ensure that Java should be used everywhere. Apache, Google, and other organization have contributed a lot of great libraries, which makes Java development easy, faster, and cost-effective.
There are frameworks like Spring, Struts, Maven, which ensure that Java development follows best practices of software craftsmanship, promotes the use of design patterns, and assisted Java developers in getting their job done.

6. Wonderful Community Support

A strong and thriving community is the biggest strength of the Java programming language and platform. No matter how good a language is, it wouldn't survive if there is no community to support, help, and share their knowledge.
Java has been very lucky; it has lots of active forums, StackOverflow, open-source organizations, and several Java user groups to help everything.

7. Java is FREE

People like FREE things, Don't you? So if a programmer wants to learn a programming language or an organization wants to use technology, COST is an important factor. Since Java is free from the start, i.e., you don't need to pay anything to create a Java application.

8. Excellent documentation support - Javadocs

When I first saw Javadoc, I was amazed. It's a great piece of documentation, which tells a lot of things about Java API. I think without Javadoc documentation, Java wouldn't be as popular, and it's one of the main reasons, Why I believe Java is the best programming language.

9. Java is Platform Independent

In the 1990s, this was the main reason for Java's popularity. The idea of platform independence is great, and Java's tagline "write once run anywhere," and acronym "WORA" were enticing enough to attract lots of new development in Java.

10. Java is Everywhere

Yes, Java is everywhere, it's on the desktop, it's on mobile, it's on the card, almost everywhere and so are Java programmers. I think Java programmers outnumber any other programming language professional.

Who this course is for
Beginners In JAVA

Homepage

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VFX Central - VFX Crash Course

VFX Central - VFX Crash Course
Duration: >20 Hours | Project Files Included | Video: 1920x1080, 48kHz | 16.6 GB
Genre: eLearning | Language: English | Intermediate / Advanced

Create a VFX shot from beginning to end & become a VFX Artist

If you are passionate about film making and or visual effects and want to learn how to create stunning FX from home, this course is for you! Don't be scared if you are new to VFX (visual effects). I will walk you through each step and make the process enjoyable, creative and fun.

Learn the VFX process & create a stunning VFX shot from beginning to end. By the end of this course you will be able to create your own cinematic VFX on a small budget.
Learn how to grow your skills as a VFX Artist. I will teach you the in's and out of professional VFX software and the process required to create stunning-looking visual effects.

Software
Learn profesional VFX software

We will be using Adobe Photoshop, Fuse, Mixamo, After Effects, Syntheyes, Mocha Pro, 3D Coat, Cinema 4D, Octane, Redshift, X-Particles, Blackmagic Fusion and The Foundry's NUKE. If you dont have some all of these software its okay, these principles can be applied using other software as well.

VFX Process
Learn the VFX workflow

Learn the VFX process & create a stunning VFX shot from beginning to end. By the end of this course you will be able to create your own cinematic VFX on a small budget

Homepage

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Understanding Artificial Intelligence and Machine Learning

Understanding Artificial Intelligence and Machine Learning
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 8.88 GB | Duration: 8h 35m



What you'll learn
Theory behind Artificial Intelligence and Machine Learning
Be able to correlate the Machine Learning models with the theory and concepts involved
Use Artificial Intelligence and Machine Learning to solve wide range of problems

Requirements
High school math

Description
Learn the theory and mathematics behind the most compelling science of Artificial Intelligence and Machine Learning!

What this course covers:

Introduction to Artificial Intelligence and Machine Learning

Python essentials with Python libraries used in Machine Learning

Problem solving in Artificial Intelligence

Knowledge Representation and Reasoning in context to Artificial Intelligence

Types of Learning in AI and ML

Mathematical and Statistical Preliminaries for Machine Learning

Artificial Neural Networks

Competitive Learning and Self Organizing Maps

Fuzzy Neural Networks

Linear and Logistic Regression

Support Vector Machines (SVMs)

Clustering algorithms

Principle Component Analysis

Brief Introduction about Deep Learning and Model Optimization Techniques

The field of Artificial Intelligence and Machine Learning requires thorough understanding of the concepts involved when you build, train, test and deploy your model, so that you can fine tune the model as per your needs. But that requires understanding of the core concepts and theory behind those models, and this course covers exactly that!

This course covers the Theory and Mathematics behind Artificial Intelligence and Machine Learning and touches upon various concepts such as Learning, Machine Learning algorithms and Artificial Neural Networks, thereby detailing each topic with elaborate theory involved.

What you will be able to achieve with this course:

1. Understand the concepts behind AI and ML

2. Make your own Machine Learning models and excel at work

So, go ahead and enroll for this course and demonstrate your knowledge to your peers at work or at college!


Who this course is for:
Beginner Machine Learning Engineers who want to understand the theory and concepts behind AI and ML
Students who want to pursue Artificial Intelligence and Machine Learning and want to learn the theory behind same

Homepage

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The Ultimate Oracle SQL Course: SQL Made Practical

The Ultimate Oracle SQL Course: SQL Made Practical
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 7.92 GB | Duration: 16h 5m



What you'll learn
You will be able to use Oracle SQL to retrieve, filter, analyze, format and present information from Oracle databases.
You will be able to use SQL to insert, modify and delete information from Oracle databases.
You will understand Oracle SQL code written by other people and feel confident to modify it.
You will be able to write the SQL code needed to solve the most common problems found in real work situations and academic tests.
Please note that PL/SQL is not covered in this course.

Requirements
No prior Oracle SQL knowledge is required. You will learn Oracle SQL from scratch (if that is what you need).
If you want to install your own Oracle SQL database, you will need a computer running Windows or Linux, where you can install and run applications (A computer running Mac OS X can be used as well, but you will need to run your database software on a virtual machine).
You should have a real desire to learn Oracle SQL and time to watch the lectures and practice the concepts as suggested by the instructor.


Description
* List Price of this Oracle SQL course has been temporarily reduced from $129.99 to $24.99

* Covers Oracle Database 11g, Oracle 12c, Oracle 18c, and Oracle 19c

Oracle is currently the most popular relational database management system in the world. It is used by thousands of big companies who are usually willing to pay good salaries to the right people, which includes those with practical Oracle SQL knowledge that is based on best practices and experience.

Most SQL courses give you theoretical SQL knowledge. In this course, you will learn by actually writing code.

Learn Oracle SQL in a practical and smart way and jump-start your career as an Oracle SQL developer:

Get comfortable writing code using Oracle SQL Developer.

Learn how to read, filter, and sort information from database tables.

Learn how to use all types of operators in Oracle SQL.

Learn how to use numeric, text, date, conversion, aggregate, analytic, and other types of Oracle SQL functions.

Learn how to add, modify, and delete information from Oracle databases using SQL.

Learn how to use SQL to create and use tables, constraints, sequences, indexes, and views.

Learn all SQL basics plus intermediate and advanced features and techniques.

Get tips and knowledge that is usually only learned through years of SQL experience.

Much more.

Carlos created this course because most courses, if not all, focus too much on "telling" or "demonstrating" how to do things, but don't give you, as a student, the opportunity to test and practice what is being taught. Some of them tell you to practice or to do things along with the instructor, but unfortunately, such an approach doesn't really work. Seeing how things are done or just copying or repeating what you see on the screen is not going to help you learn SQL. You might feel that you are learning, but when the time comes for you to write a command on your own, you are most likely not going to feel very confident.

Here you will learn and practice much more than just SQL basics.

Content and Overview:

This course was designed with beginners in mind, but if you have some previous SQL knowledge, you will still learn a lot. After setting the learning environment, it starts with the most basic concepts about databases in general and a very short introduction to Oracle and the SQL language.

You will start learning about the simplest SQL statements, and before you even notice it, you will have covered all the SQL basics and will be gradually progressing to more advanced concepts.

The course includes several topics that some people, including experienced developers and other instructors, consider advanced, such as Analytic Functions, Hierarchical Queries, Pivot and Unpivot features, and many more.

It does not include demonstration lectures because the whole course is a coding demonstration. In 90% of the video lectures, you will be watching the instructor's computer screen while he types, explains, and runs Oracle SQL code.

It does not include labs at the end of each section because practically every lesson has a coding task for you to practice what you are learning.

Please note that PL/SQL (Oracle's procedural language) is not covered in this course.

The instructor will not only teach you SQL. He will share his decades of Oracle experience with you through what he calls "experience tips". Those tips can really help you differentiate and stand out.

Final words from the instructor:

You could be being seen as an experienced and knowledgeable SQL developer by your friends, peers, and potential employers in a very short time, but you have to take action. If you want my help, you've got it.


Who this course is for:
Aspiring application or database developers looking to acquire solid SQL knowledge to improve their careers.
College/University students who need SQL knowledge to pass their database-related courses.
Anyone with only basic SQL knowledge wanting to solidify their skill and use the language with confidence.
This course is not for you if you are already an experienced Oracle SQL developer looking to learn the most advanced features of the language.
This course is not for you if you are looking for a theoretical course.

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Python Machine Learning Bootcamp (2021)

Python Machine Learning Bootcamp (2021)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 102 lectures (23h 51m) | Size: 7.88 GB

Become essential in a world centered around Machine Learning

What you'll learn:
How to take a machine learning idea and flush it out into a fully functioning project
The different types of machine learning approaches and the models within each section
Theoretical and intuitive understanding of how each model works
Practical application and implementing each model we cover
How to optimize models
Common pitfalls and how to overcome them
Technical skills to use machine learning on the job or for your own projects

Requirements
Basic Python knowledge
Some previous experience with the pandas and matplotlib library are helpful


Description
Machine learning is continuously growing in popularity, and for good reason. Companies that are able to make proper use of machine learning can solve complex problems that otherwise proved very difficult with standard software development.

However, building good machine learning models is not always easy, and it's very important to have a solid foundation so that if/when you encounter problems with models on the job, you understand what steps to take to fix them.

That's why this course focuses on always introducing every model that we cover first with the theoretical background of how the model works, so that you can build a proper intuition around its behaviour. Then we'll have the practical component, where we'll implement the machine learning model and use it on actual data. This way you gain both hands-on, as well as a solid theoretical foundation, of how the different machine learning models work, and you'll be able to use this knowledge to better chose and fix models, depending on the situation.

In this course we'll cover many different types of machine learning aspects.

We'll start with going through a sample machine learning project from idea to developing a final working model. We'll learn many important techniques around data preparation, cleaning, feature engineering, optimizaiton and learning techniques, and much more.

Once we've gone through the whole machine learning project we'll then dive deeper into several different areas of machine learning, to better understand each task, and how each of the models we can use to solve these tasks work, and then also using each model and understanding how we can tune all the parameters we learned about in the theory components.

These different areas that we'll dive deeper in to are:

- Classification

- Regression

- Ensembles

- Dimensionality Reduction

- Unsupervised Learning

At the end of this course you should have a solid foundation of machine learning knowledge. You'll be able to build out machine learning solutions to different types of problems you'll come across, and be ready to start applying machine learning on the job or in technical interviews.

Who this course is for
Beginner Python programers and data scientists who want to understand ML models in depth and be able to use them in practice

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