• Regeln für den Video-Bereich:

    In den Börsenbereich gehören nur Angebote die bereits den Allgemeinen Regeln entsprechen.

    Einteilung

    - Folgende Formate gehören in die angegeben Bereiche:
    - Filme: Encodierte Filme von BluRay, DVD, R5, TV, Screener sowie Telesyncs im Format DivX, XviD und x264.
    - DVD: Filme im Format DVD5, DVD9 und HD2DVD.
    - HD: Encodierte Filme mit der Auflösung 720p oder darüber von BluRay, DVD, R5, TV, Screener sowie Telesyncs im Format x264.
    - 3D: Encodierte Filme von BluRay, die in einem 3D Format vorliegen. Dies gilt auch für Dokus, Animation usw.
    - Serien: Cartoon/Zeichentrick, Anime, Tutorials, Dokumentationen, Konzerte/Musik, Sonstiges sind demnach in die entsprechenden Bereiche einzuordnen, auch wenn sie beispielsweise im High Definition-Format oder als DVD5/DVD9/HD2DVD vorliegen. Ausnahme 3D.
    - Bereich Englisch: Englische Releases gehören immer in diesen Bereich.
    - Bereich Talk: Der Bereich, in dem über die Releases diskutiert werden kann, darf, soll und erwünscht ist.


    Angebot/Beitrag erstellen

    - Ein Beitrag darf erst dann erstellt werden, wenn der Upload bei mindestens einem OCH komplett ist. Platzhalter sind untersagt.
    - Bei einem Scenerelease hat der Threadtitel ausschließlich aus dem originalen, unveränderten Releasenamen zu bestehen. Es dürfen keine Veränderungen wie z.B. Sterne, kleine Buchstaben o.ä. vorgenommen werden. Ausnahme Serienbörse:
    - Bei einem Sammelthread für eine Staffel entfällt aus dem Releasename natürlich der Name der Folge. Beispiel: Die Simpsons S21 German DVDRip XviD - ITG
    - Dementsprechend sind also u.a. verboten: Erweiterungen wie "Tipp", "empfehlenswert", "only", "reup", usw. / jegliche andere Zusatzinformation oder Ergänzung, welche nicht in obiger Beschreibung zu finden ist.

    Aufbau des Angebots und Threadtitel

    Der Titel nach folgendem Muster erstellt zu werden. <Name> [3D] [Staffel] [German] <Jahr> <Tonspur> [DL] [Auflösung] <Quelle> <Codec> - <Group>
    Beispiel: The Dark Knight German 2008 AC3 DVDRip XviD - iND
    Beispiel: The Dark Knight 2008 DTS DL BDRip x264 - iND
    Beispiel: The Dark Knight 2008 AC3 DL BDRip XviD - iND
    Beispiel: The Dark Knight German 2008 AC3 720p BluRay x264 iND
    Beispiel: The Dark Knight 2008 DTS DL 1080p BluRay x264 iND
    Beispiel: Die Simpsons S01 German AC3 DVDRip XviD iND
    Beispiel: Die Simpsons S20 German AC3 720p BluRay x264 iND
    Beispiel: Sword Art Online II Ger Sub 2014 AAC 1080p WEBRip x264 - peppermint
    Entsprechend sind also u.a. verboten: Sonderzeichen wie Klammern, Sterne, Ausrufezeichen, Unterstriche, Anführungszeichen / Erweiterungen wie "Tipp", "empfehlenswert", "only", "reup", usw. / jegliche andere Zusatzinformation oder Ergänzung, welche nicht in obiger Beschreibung zu finden ist
    Ausnahmen hiervon können in den Bereichen geregelt sein.

    Die Beiträge sollen wie folgt aufgebaut werden:
    Überschrift entspricht dem Threadtitel
    Cover
    kurze Inhaltsbeschreibung
    Format, Größe, Dauer sind gut lesbar für Downloader außerhalb des Spoilers zu vermerken
    Nfo sind immer Anzugeben und selbige immer im Spoiler in Textform.
    Sind keine Nfo vorhanden z.B. Eigenpublikationen, sind im Spoiler folgende Dateiinformationen zusätzlich anzugeben :
    Quelle
    Video (Auflösung und Bitrate)
    Ton (Sprache, Format und Bitrate der einzelnen Spuren)
    Untertitel (sofern vorhanden)
    Hosterangabe in Textform außerhalb eines Spoiler mit allen enthaltenen Hostern.
    Bei SD kann auf diese zusätzlichen Dateiinformationen verzichtet werden.

    Alle benötigten Passwörter sind, sofern vorhanden, in Textform im Angebot anzugeben.
    Spoiler im Spoiler mit Kommentaren :"Schon Bedankt?" sind unerwünscht.


    Releases

    - Sind Retail-Release verfügbar, sind alle anderen Variationen untersagt. Ausnahmen: Alle deutschen Retail-Release sind CUT, in diesem Fall sind dubbed UNCUT-Release zulässig.
    - Im Serien-Bereich gilt speziell: Wenn ein Retail vor Abschluss einer laufenden Staffel erscheint, darf diese Staffel noch zu Ende gebracht werden.62
    - Gleiche Releases sind unbedingt zusammenzufassen. Das bedeutet, es ist zwingend erforderlich, vor dem Erstellen eines Themas per Suchfunktion zu überprüfen, ob bereits ein Beitrag mit demselben Release besteht. Ist dies der Fall, ist der bereits vorhandene Beitrag zu verwenden.
    - P2P und Scene Releases dürfen nicht verändert oder gar unter einem iND Tag eingestellt werden.


    Support, Diskussionen und Suche

    - Supportanfragen sind entweder per PN oder im Bereich Talk zu stellen.
    - Diskussionen und Bewertungen sind im Talk Bereich zu führen. Fragen an die Uploader haben ausschließlich via PN zu erfolgen, und sind in den Angeboten untersagt.
    - Anfragen zu Upload-Wünschen sind nur im Bereich Suche Video erlaubt. Antworten dürfen nur auf Angebote von MyBoerse.bz verlinkt werden.


    Verbote

    - Untersagt sind mehrere Formate in einem einzigen Angebotsthread, wie beispielsweise das gleichzeitige Anbieten von DivX/XviD, 720p und 1080p in einem Thread. Pro Format, Release und Auflösung ist ein eigener Thread zu eröffnen.
    - Grundsätzlich ebenso verboten sind Dupes. Uploader haben sich an geeigneter Stelle darüber zu informieren, ob es sich bei einem Release um ein Dupe handelt.
    - Gefakte, nur teilweise lauffähige oder unvollständige Angebote sind untersagt. Dies gilt auch für eigene Publikationen, die augenscheinlich nicht selbst von z.B. einer DVD gerippt wurden. Laufende Serien, bei denen noch nicht alle Folgen verfügbar sind, dürfen erstellt und regelmäßig geupdatet werden.
    - Untersagt sind Angebote, welche nur und ausschließlich in einer anderen Sprache als deutsch oder englisch vorliegen. Ausnahmen sind VORHER mit den Moderatoren zu klären.


    Verstoß gegen die Regeln

    - Angebote oder Beiträge, die gegen die Forenregeln verstoßen, sind über den "Melden"-Button im Beitrag zu melden.
  • Bitte registriere dich zunächst um Beiträge zu verfassen und externe Links aufzurufen.




Englische Tutorials

Luisa Zhou - Employee to Entrepreneur 2020

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Luisa Zhou - Employee to Entrepreneur 2020 | 8.14 GB
Employee to Entrepreneur, the only proven, step-by-step system to build your online service-based business and replace your corporate income in 6 months FLAT.
It isnt just another course. Its a full-fledged roadmap to freedom.

So want to know what youll learn?
Put on your glasses and take a peek at the curriculum thats helped hundreds of motivated men and women make the transition from cubicle to CEO:

+ Module 1 - Your Clarity Strategy
The foolproof 3-step framework thatll show you in just 15 minutes all the businesses you can start: Stop spinning your wheels on what business you should start. This will save you months of agonizing and help you get clarity on your business idea so that you can finally move forward
Virtually guarantee your success: Use a little-known shortcut to immediately identify exactly what to say and what to offerand how to use that information to make your ideal buyer say, Let me get my credit card!
The Hook Technique: A simple technique to position you as an expert so that you instantly rise to the top of your industry
How to get big financial wins upfront: How to identify your ideal buyers biggest willingness to pay areas and create premium offers that result in big financial wins for you and big results-based wins for your buyers as well. Youll know exactly what to sell, who to sell it to, and what price to sell it for
(Value 997) Included in Employee to Entrepreneur

+ Module 2 - Your Foundation Strategy
Technology made painless: Feeling beyond frustrated, confused, and discouraged by all the tech pieces of setting up your business? By the time youre done with these so-simple-you-could-do-it-in-your-sleep instructions, youll be navigating your site hosting, website, plug-ins, and email marketing like a pro
Create a gorgeous DIY website that looks like it cost thousands: Step-by-step instructions to design a drool-worthy brand, plan a stunning photoshoot, and create a beautiful website on your own with easeso that you stand out as a professional from the very beginning
Become a master persuasion-writer (even if you dont think youre good at writing): With this skill, youll never to worry about not having buyers. Learn how to strategically write words that get people to take action join your community, share your work, and of course, buy from you
Proven step-by-step templates for your entire website: Write, design, and set up your website with more ease than you could have ever imagined. Im not just going to tell you what to doIm giving you the exact step-by-step instructions and blueprints to use for every page on your site!
Your First Clients on Autopilot System: How to set up a system that automatically funnels potential clients to you all the timeeven when youre sleeping or enjoying a first-class cocktail on your way to the Maldives.
(Value 997) Included in Employee to Entrepreneur

+ Module 3 - Your Marketing Strategy
The 3-Prong Approach to magnetic marketing: Other people chase down potential clients. Youll attract them straight to you
Step-by-step marketing plan for massive visibility in 30 minutes per day: Know exactly where to market, what to say, and how to say it without fear or overwhelm. Save yourself countless hours on social media with this targeted plan that only requires 30 minutes or less per day
Generate likes, comments, and responses on everything you write: The exact 5 types of social media posts you need to write to grab your ideal buyers attention, plus proven techniques to appeal to their emotions and engage them to like, comment, and respond every time
The secret to becoming a content generating machine: Plan your content for the week, month, or even year without running out of ideas after you learn how and where to find never-ending inspiration and how to write 5 or more completely different articles on each topic you come up with
How to write newsletters and blogs that prime your audience to buy: Know exactly what your ideal buyers need to hear to be ready to buy, how to write to them, and how to use your newsletters and blogs to build a highly-engaged list of super-fans
(Value 1,997) Included in Employee to Entrepreneur

+ Module 4 - Your Sales Strategy
Selling out your offers (The Strategy)
2x, 3x, or even 10x your sales with webinars: Slide-by-slide webinar templates and tech set-up instructions to guide you in creating a flawless webinar that both delivers phenomenal value and creates an irresistible urge to buy in your audience
How to convert email subscribers into customers with the perfect combination of marketing and salesthat has your ideal buyers clamoring for your offers
Selling out your offers (The Tactics)
Get as many sales calls as you want, whenever you want, using these 15 proven tactics with exact, word-for-word scripts and templates (no cold calling involved)
Master the art of selling online and how to tailor your offers for success on different social media platforms (Facebook, LinkedIn, Live streams, Email)
Selling out your offers (The Sales Calls)
Get proven scripts for effortlessly making sales in a way that feels good to you and your buyers while consistently resulting in YESs instead of NOs
Become a master at overcoming objections such as, I cant afford it and Nows not the time without being pushy or salesy
(Value 1,997) Included in Employee to Entrepreneur

+ Module 5 - Your List-Building Strategy
Go from 0 to thousands of potential buyers who cant wait to buy from you:
A step-by-step training on how to go an email list of hundreds or thousands of ideal buyers interested in your offersfrom scratch
A detailed, easy-to-follow schedule thatll have you doubling your email list each month without spending all your time in front your computer

Grow your list by thousandsfor free:
How to get featured on big-name sitesand leverage that publicity to grow your email list by hundreds, or even thousands
10 of the most powerful free list-building tactics that you can use to quickly reach your first 1,000 subscribers, and beyond

Skyrocket your business on autopilot with paid advertising:
7 comprehensive, step-by-step trainings on how to use paid Facebook advertising to skyrocket your businesseven if you have a small budget
Create an automated client generation system that works for you 24/7 with exact templates, scripts, and step-by-step instructions
(Value 1,997) Included in Employee to Entrepreneur
And youre not alone.
Meet your Employee to Entrepreneur Support System.

COACHING & SUPPORT
The Private Employee to Entrepreneur Community
Want to connect with your new entrepreneur crew? Theres no need to wait. Youll get access to the students-only private community as soon as you join the course.
Its full of current students and alumni who will cheer your wins, help keep you accountable, and give you the answers and extra support that you need.
We have an incredibly supportive community that weve built over the past few years, of people at all different stages in their businesses. In this community, youre going to be connected to an instant network of ETEers who have been where you are, started where you did, and now have successful 5-, 6-, and multiple 6-figure businesses.
Youre going to succeed so much faster when you can ask people who already know the answer.
And this is so essential to making sure that you go the distance and build a business that lasts for the long haul.
(Value 997) Included in Employee to Entrepreneur

COACHING & SUPPORT
The Employee to Entrepreneur Technical Support Squad
When you join Employee to Entrepreneur, youll have access to the highly trained ETE technical support team.
Need a little help?
(Value 997) Included in Employee to Entrepreneur

COACHING & SUPPORT
ETE Coaching Vault: 20+ Pre-Recorded Coaching Calls with Luisa
You might also be wondering, what about support from Luisa? Can I talk to Luisa if I get stuck? As much as I would love to, I cant do calls with every student.
The truth is though, you dont need a call with me. Because I spent over 5 years building this course and community, the support you need is already built in for you.
Plus, as a bonus, you get instant access to the ETE Coaching Vault, of 20 pre-recorded coaching calls where I personally answer all of the most common questions I get from students.
Youre going to be able to find answers to all of your questions in minutes.
As you can see, you are supported in every way possible to ensure you succeed. And this is a support system weve tested and perfected for over FIVE years. To make sure you have everything you need to succeed.
(Value 12,000+) Included in Employee to Entrepreneur

Employee to Entrepreneur will walk you through your entire transition from 9-5er to CEO.
When you say YES to ETE, youre saying YES to:
My exact, proven, complete SYSTEM FOR SUCCESS, including templates, scripts, audio, videos, email swipe files, advertising strategies, and more so you dont have to waste time recreating the wheel
5 STEP-BY-STEP MODULES that cover everything from creating a mindset for success all the way through to crafting your first offering, conducting sales calls, crafting killer webinars, and exploding your audience growth. You name it, Ive got you covered.
Lifetime access to the most SUPPORTIVE group and coaching calls youve ever received from any course or program. Because the truth is: no matter how great a course is, information, without feedback, support, and customization, is not enough when your mission is as big as building a business that replaces your income

HOmepage:

Screenshots
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Link Download
Extract files with WinRar 5 or Latest !
 
Linkedin Learning Java Microservices with GraalVM-ZH

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Linkedin Learning Java Microservices with GraalVM-ZH | MP4 | 530.94 MiB

555 kb/s 1280x720 | AAC 160 kb/s 2 CH



NFO:
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Linkedin Learning Career Insights for Tech Professionals-ZH

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Linkedin Learning Career Insights for Tech Professionals-ZH | MP4 | 458.18 MiB

2 606 kb/s 1280x720 | AAC 160 kb/s 2 CH



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Filehosts: Nitroflare, Rapidgator



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Skillshare Android Development Android App Developer Course with Pie-XCODE

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Skillshare Android Development Android App Developer Course with Pie-XCODE | MP4 | 3.31 GiB

971 kb/s 1280x720 | AAC 128 kb/s 2 CH



NFO:
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Audio: aac, 44100 Hz, stereo (und)
Video: h264, yuv420p, 1280x720, 29.97 fps(r) (und)






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Filehosts: Nitroflare, Rapidgator



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HTML5 Game Development Mini-Degree

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HTML5 Game Development Mini-Degree
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + vtt | Duration: 19 Lessons (31h 13m) | Size: 23 GB

Complete Phaser 3 and JavaScript game development curriculum. Learn to code and create a huge portfolio of both mobile and desktop games The HTML5 Game Development Mini-Degree is the world's most comprehensive on-demand curriculum. Learn to code and create impressive games with Phaser 3, the JavaScript library that took the developer community by storm, through a series of comprehensive, step-by-step video tutorials.
With this online program, we want to show you how fun creating games can be, and how seeing other people play and enjoy your creations can be an incredibly fulfilling experience

Requirements
HTML and CSS skills
A web browser
A local web server (covered in within the course)

Homepage

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Data Visualization with R and ggplot2

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Data Visualization with R and ggplot2
Bestseller | h264, yuv420p, 1280x720 |ENGLISH, 44100 Hz, 2 Channels | 20h 40mn | 9.55 GB

R Programming Language for Data Visualization. GGplot2, Data Analysis, Data Preparation, Data Sciene Tools, RStudio

What you'll learn

Visualize data
Foundations of data visualization (Grammar of Graphics and ggplot2)
Transform data before visualization is applied (data wrangling libraries)
Apply exploratory data analysis techniques with R and ggplot2
Wrap up analysis using RMarkdown reports
Use ggplot2 for creating many different standard statistical plots

Requirements

R and RStudio already installed on your computer.
Basic knowledge of statistics is a plus.
Basic to intermediate R knowledge is a plus.
Complete R beginners will find course more challenging.
For complete R beginners I recommend first taking one of the R beginners courses, to get proper foundations needed.
To be fond of data transformation libraries (dplyr, tidyr) is a plus. However course includes a quick overview of dplyr and tidyr.
Interest in data science and data visualization.
Please update R or R's libraries if necessary. List of versions ( R and all R's libraries used in the exercises) provided at the end of course material.


Description

Today we live in a world where tons of data is generated every second. We need to analyze data to get some useful insight. One of the strongest weapons for data insight is data visualization. Probably you have heard this one before: "A picture tells more than a thousand words combined ". Therefore to tell stories from the data we need tools for producing adequate and amazing graphics. Here R as one of the most rapidly growing tools in the fields of data science and statistics provides needed assistance. If you combine R with its library ggplot2 you get one of the deadliest tools for data visualization, which grows every day and is freely accessible to anyone.

This course is designed to first give you quick and proper theoretical foundations for creating statistical plots. Then you dive into the world of exploratory data analysis where you are confronted with different datasets and creating a wide variety of statistical plots.

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Complete guide to ASP.NET Core MVC (v3.1)

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Complete guide to ASP.NET Core MVC (v3.1)
h264, yuv420p, 1280x720 |ENGLISH, 44100 Hz, 2 Channels | 23h 13mn | 11.33 GB

Build real world application using ASP.NET Core using EF Core, payments, repository pattern and ASP.NET Core Identity

What you'll learn

Learn structure of ASP NET MVC Core 3.1 Project
Learn structure of ASP NET Core 3.1 Razor Project
Learn basic fundamentals of ASP NET MVC Core 3.1
Build 2 Projects throughout the course
Integrate Identity Framework and learn how to add more fields to Users
Interact with Razor class library for Identity
Integrate Entity Framework along with code first migrations
Sessions in ASP NET Core 3.1
Custom Tag Helpers in ASP NET Core 3.1
View Components and Partial Views in ASP NET Core
Bootstrap v4
Authentication and Authorization in ASP NET Core 3.1
Google and Facebook Authentication/Login
Role Management in ASP NET Core Identity
SMS and Email notifications
TempData in ASP NET Core 3.1
Stripe and Brain-tree Payment Integrations
Repository Pattern to Access Database
Dapper and Stored Procedure Calls
Seed Database Migrations Automatically
Deploying website on Microsoft Azure and IIS

Requirements

3-6 months knowledge of C#
Visual Studio 2019
SQL Server Management Studio
.NET Core 3.1


Description

This is a Beginner to Advanced level course on ASP.NET Core 3.1 that will take you from basics all the way to advance mode. This course is for anyone who is new to ASP.NET Core 3.1 or who is familiar with ASP.NET and wants to take a first stab at understanding what is different in ASP.NET Core 3.1. From there we would be building multiple projects to understand all concepts in ASP.NET Core 3.1 as we will deploy our final application on Azure as well as IIS.

Throughout this course, we would understand the evolution of ASP.NET Core and then we would take a look at the modified files and folder structure.

We would then take a look at new concepts in ASP.NET Core 3.1

We would build a small Razor application with CRUD operations using Entity framework for integration with the database.

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Case Studies in Data Mining with R

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Case Studies in Data Mining with R
h264, yuv420p, 1280x720 |ENGLISH, 44100 Hz, 2 Channels | 21h 53mn | 14.77 GB

Learn to use the "Data Mining with R" (DMwR) package and R software to build and evaluate predictive data mining models.

What you'll learn

Understand how to implement and evaluate a variety of predictive data mining models in three different domains, each described as extended case studies: (1) harmful plant growth; (2) fraudulent transaction detection; and (3) stock market index changes.
Perform sophisticated data mining analyses using the "Data Mining with R" (DMwR) package and R software.
Have a greatly expanded understanding of the use of R software as a comprehensive data mining tool and platform.
Understand how to implement and evaluate supervised, semi-supervised, and unsupervised learning algorithms.

Requirements

Students will need to install no-cost R software and the no-cost RStudio IDE (instructions are provided).


Description

Case Studies in Data Mining was originally taught as three separate online data mining courses. We examine three case studies which together present a broad-based tour of the basic and extended tasks of data mining in three different domains: (1) predicting algae blooms; (2) detecting fraudulent sales transactions; and (3) predicting stock market returns. The cumulative "hands-on" 3-course fifteen sessions showcase the use of Luis Torgo's amazingly useful "Data Mining with R" (DMwR) package and R software. Everything that you see on-screen is included with the course: all of the R scripts; all of the data files and R objects used and/or referenced; as well as all of the R packages' documentation. You can be new to R software and/or to data mining and be successful in completing the course.

The first case study, Predicting Algae Blooms, provides instruction regarding the many useful, unique data mining functions contained in the R software 'DMwR' package. For the algae blooms prediction case, we specifically look at the tasks of data pre-processing, exploratory data analysis, and predictive model construction. For individuals completely new to R, the first two sessions of the algae blooms case (almost 4 hours of video and materials) provide an accelerated introduction to the use of R and RStudio and to basic techniques for inputting and outputting data and text.

Detecting Fraudulent Transactions is the second extended data mining case study that showcases the DMwR (Data Mining with R) package. The case is specific but may be generalized to a common business problem: How does one sift through mountains of data (401,124 records, in this case) and identify suspicious data entries, or "outliers"? The case problem is very unstructured, and walks through a wide variety of approaches and techniques in the attempt to discriminate the "normal", or "ok" transactions, from the abnormal, suspicious, or "fraudulent" transactions. This case presents a large number of alternative modeling approaches, some of which are appropriate for supervised, some for unsupervised, and some for semi-supervised data scenarios.

The third extended case, Predicting Stock Market Returns is a data mining case study addressing the domain of automatic stock trading systems. These four sessions address the tasks of building an automated stock trading system based on prediction models that utilize daily stock quote data. The goal is to predict future returns for the S&P 500 market index. The resulting predictions are used together with a trading strategy to make decisions about generating market buy and sell orders. The case examines prediction problems that stem from the time ordering among data observations, that is, from the use of time series data. It also exemplifies the difficulties involved in translating model predictions into decisions and actions in the context of 'real-world' business applications.

What are the requirements?

Students will need to install no-cost R software and the no-cost RStudio IDE (instructions are provided).

What am I going to get from this course?

Understand how to implement and evaluate a variety of predictive data mining models in three different domains, each described as extended case studies: (1) harmful plant growth; (2) fraudulent transaction detection; and (3) stock market index changes.
Perform sophisticated data mining analyses using the "Data Mining with R" (DMwR) package and R software.
Have a greatly expanded understanding of the use of R software as a comprehensive data mining tool and platform.
Understand how to implement and evaluate supervised, semi-supervised, and unsupervised learning algorithms.

Who is the target audience?

The course is appropriate for anyone seeking to expand their knowledge and analytical skills related to conducting predictive data mining analyses.
The course is appropriate for undergraduate students seeking to acquire additional in-demand job skill sets for business analytics.
The course is appropriate for graduate students seeking to acquire additional data analysis skills.
Knowledge of R software is not required to successfully complete this course.
The course is appropriate for practicing business analytics professionals seeking to acquire additional job skill sets


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Skillshare Python For Absolute Beginner-XCODE

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Skillshare Python For Absolute Beginner-XCODE | MP4 | 1.81 GiB

814 kb/s 1280x720 | AAC 128 kb/s 2 CH eng



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Skillshare The DevOps Essentials The Handbook-XCODE

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Skillshare The DevOps Essentials The Handbook-XCODE | MP4 | 869.20 MiB

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Skillshare Learn Serverless and AWS whilst building a Full Stack App with React-XCODE

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Skillshare Learn Serverless and AWS whilst building a Full Stack App with React-XCODE | MP4 | 630.20 MiB

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File: 01_-_welcome-and-intro.mp4
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Ozzie - Practical Day Game

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Ozzie - Practical Daygame
WEBRip | English | MP4 + PDF Guides | 640 x 360 | AVC ~992 Kbps | 29.970 fps
AAC | 125 Kbps | 48.0 KHz | 2 channels | ~3 hours | 1.42 GB
Genre: eLearning Video / Relationship, Dating, Pickup​
Hey, Ozzie here I want to share something that will make meeting and talking to women 100% easier. This will separate you from all the other men out there when it comes to meeting beautiful high quality women. Here is the best Part! There are no Bars or clubs involved. That means you're not losing sleep or spending extra money to talk to women.

By the end I will show you what you need to do so you can meet women while you go about your everyday life!

I am talking about solid 9s and 10s or the girl next door type, you know the type. Sure any girl can look hot at night, but only certain type can look beautiful during the day, she doesn't have to be all dolled up with all sorts of makeup. She has that natural sophisticated look.
When I started out with this, I never saw myself with any of these women. I would have never guessed I had a chance especially in the day time! I'm just an average guy who enjoys the simple things in life.

Did you know the nightclub industry is a 23 billion dollar industry. That's right Night Clubs are designed to make money! Not to meet people. Think about it. The long lines to create the illusion that everyone wants to get in, the expensive table service or high priced drinks, let's not forget the cover charge.

Are any of those thing going to help you find or create a solid long lasting connection?
Ever run into "Buy me a drink girl" I am sure we all have, keep reading I got a tip for that!

1st reason: I love going out t night, don't get me wrong. I enjoy a good beer with good company. Usually the company is some good friends that I have. To be honest I don't to the whole community PICK UP thing. Some days I wish I didn't, picture getting all dressed up with funny clothes, waiting in long lines, only to get in and find out that the girl to guy ratio is horrible. Then to make the best out of the situation, You would run around trying to talk to everyone, like a machine gun blasting at everything in sight.
2nd reason: Too many variables. Ok the geeky side of me is coming out. But here me out. At night there are more women in a venue than in the day. This is true! Ever run into the girl who is completely wasted? The one who is being held up by her friends. Obviously you're not going to talk to her or her friends. It's just another example of nightclub quality.

What about "BUY ME A DRINK" girl? Yeah we know who I am talking about!
That girl who wants to be the center off attention, the one who is dressed super sexy, flirting with everyone leaving guys drooling as she gets free drink after free drink. I am sure you want that type of girl as the mother of your children.

In case you have one come up to you here is a little trick I use:
When she asks you to buy her a drink " Hey buy me a drink!" Respond with "Sure"! That's RIGHT SURE!
Just lick your elbow and ILL BUY YOU 2! Then watch her try hardest, smile and walk away.

3rd reason: There are no guarantees! Most likely at the end of the night you will either be heading to a local dinner or home ALONE with maybe a couple of numbers.And what are the odds that you are on her mind, what about first thing in the morning? More on that in a bit. I am sure she had her fun, her drinks, and a good time with her friends. Let's face it finding that girl who wants to be swept of her feet in a storybook - romantic fashion at a nightclub.. those chances are slim.
I know you asking "where?" Well you are probably already there! That's right. Every day you go about your life you have a chance to meet the girl of your dreams during the DAY!

Day Game Pros:
No Competition
Solid first impressions
Women are more friendly
Calm environment
Easier to continue a conversation
No hating girlfriends

I used to be terrified about the thought of talking to women during the day. No matter where I was if I saw a gorgeous woman I wouldn't know what to say or do. I would immediately freeze up and come up with excuses.
I thought:
Why would she want to talk to a guy like me
She is out of my league.
She is busy, I don't want to bother her.
Everyone will listen and watch me talk to her.
She probably has a boy friend.
I used to watch as beautiful women walked right past me! I would walk away kicking myself wishing I did something.
I used to be one of those community guys. I spent my free time reading and studying seduction. I would go out at night with other guys who wanted to get good with women. Every night I would here the same question.
"What is your opinion opener" "what are you going to neg her with" Everyone had their routines and tactics ready, but all I wanted to do was be MYSELF.

Benefits/Description :
Lecture
Overview of ABCs Model
Day Game vs Night game
Visual example

Infield
Plenty of infield video
Multi approaches
Direct , Indirect and situational Approaches
Multi coaches with unique styles
College Campus, Street Approaches
Pick Up Break down by Asian Playboy

Screenshots
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