• 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

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MasterClass - A Sommelier's Snob-Free Guide to Wine with Emily Wines
.MP4, AVC, 1920x1080, 24 fps | English, AAC, 2 Ch | 1 h 17 m | 2.4 GB

Master Sommelier Emily Wines debunks myths, ditches snobbery, and empowers you to confidently pick, pair, and pour like a pro.


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Epic VFX Creation with Houdini: The Samurais' Secrets
Diogo Guerreiro | Duration: 10:52 h | Video: H264 1920x1080 | Audio: AAC 44,1 kHz 2ch | 25,7 GB | Language: English

Explore "The Samurais," an extraordinary journey into the world of visual effects (VFX) using Houdini. This course transcends the basics, taking you from the serene ambiance of falling rain to the intense dynamics of battle scenes, revealing techniques and secrets reserved for the industry's pros. Under the guidance of Diogo Guerreiro, a Senior FX Artist at MPC in Montreal, you'll push the boundaries of your creative abilities and transform your visions into breathtaking realities with unparalleled precision and artistry.

This immersive experience is not just about mastering Houdini; it's a pathway to becoming a consummate pro-FX artist. Diogo invites you to interact directly with him on his Discord Channel, offering a unique opportunity to connect, ask questions, and share insights with fellow enthusiasts and the instructor himself.

Main Takeaways:

• Master procedural stone road creation for dynamic scenes.
• Create realistic rain FX, including splashes, drips, and their interactions with characters and buildings.
• Generate ripple effects from rain and character movements in puddles.
• Learn the art of retiming FX and character motion for cinematic impact.
• Craft detailed skin laceration and blood burst effects for heightened realism.
• Discover procedural skin cut techniques with material X for intricate VFX.
• Utilize Vellum and Flip to design comprehensive decapitation FX.
• Explore advanced rendering setups with Solaris and Karma XPU for professional-quality outputs.

Homepage


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Data Science Bundle: 180 Hands-On Projects - Course 2 of 3
Last updated 9/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 42h 14m | Size: 20 GB

Build & Deploy 180 Projects - Data Science, Machine Learning, Deep Learning (Python, Flask, Django, AWS, Azure Cloud)



What you'll learn
Master the essentials of Machine Learning using Python, the go-to language for Data Science.
Learn to build robust Machine Learning models that can withstand real-world uncertainties.
Gain insights into the end-to-end product workflow of the Machine Learning lifecycle, ensuring you understand each phase deeply.
Acquire the skills needed to deploy Machine Learning models, making them functional in a live environment.
Develop a strong intuition for choosing the right Machine Learning models for different tasks.
Empower yourself to conduct powerful data analyses that can drive decision-making processes.
Learn data-cleaning techniques to handle and remove outliers, ensuring data quality.
Equip yourself with skills that are in high demand, increasing your chances of getting hired as a Data Scientist.

Requirements
Basic knowledge of machine learning

Description
Unleash your data science mastery in this dynamic course! Learn to build and deploy machine learning, AI, NLP models, and more using Python and web frameworks like Flask and Django. Elevate your projects to the cloud with Heroku, AWS, Azure, GCP, IBM Watson, and Streamlit. Get ready to turn data into powerful solutions!Enrolling in this course is a transformative decision for several compelling reasons. This dynamic program is meticulously designed to take you on a journey from theory to practical, hands-on mastery.Firstly, you'll delve into the exciting world of real-world machine learning and data-driven projects, offering you invaluable skills to solve complex problems. Secondly, this course empowers you to unleash your data science prowess. You'll not only learn to build and deploy machine learning, AI, and NLP models but also gain proficiency in using Python and web frameworks like Flask and Django. Elevate your projects to the cloud with Heroku, AWS, Azure, GCP, IBM Watson, and Streamlit, making your creations accessible to the world.Moreover, you'll navigate the entire project lifecycle, from ideation to deployment, gaining practical experience at every step. By working on real industry-inspired projects, you'll develop the confidence and skills needed to excel in the real worldIn This Course, We Are Going To Work On 60 Real World Projects Listed Below:Data Science Projects:project-1: Developing an AI Chatbot using GPT-3.5Project-2: American Sign Language Detection with CNNProject-3: Builtup Area Classification using K-Means and DNNProject-4: Clustering COVID-19 Research Articles using Vector EmbeddingsProject-5: Crop Recommendation and Yield Prediction ModelProject-6: Generating Images with DCGAN ArchitectureProject-7: Seizure Prediction using EEG Signals and SVMProject-8: Music Genre Classification using SpectrometersProject-9: Disease Detection from Symptoms using Transformers and TokenizerProject-10: Text Summarization with Advanced TechniquesProject-11: SentimentSense: Deciphering Sentiments - Sentiment Analysis Django App on HerokuProject-12: AttritionMaster: Navigating the Path of Employee Attrition - Django ApplicationProject-13: PokeSearch: Legendary Pokemon Quest - Django App Adventure on HerokuProject-14: FaceFinder: Unmasking Hidden Faces - Face Detection with Streamlit MagicProject-15: FelineCanine: Pawsitively Classy - Cats Vs Dogs Classification Flask AppProject-16: RevGenius: Predicting Revenue Gems - Customer Revenue Prediction on HerokuProject-17: VoiceGender: Vocal Clues Unveiled - Gender Prediction from Voice on HerokuProject-18: EatSuggest: A Culinary Companion - Restaurant Recommendation SystemProject-19: JoyRank: Spreading Happiness - Happiness Ranking Django App on HerokuProject-20: WildFireWarn: Taming the Inferno - Forest Fire Prediction Django App on HerokuProject-21: SonicWaveWhisper: Echoes of Prediction - Sonic Wave Velocity Prediction using Signal Processing TechniquesProject-22: PressureQuest: Delving into Pore Pressure - Estimation of Pore Pressure using Machine LearningProject-23: SoundSorcerer: Enchanting Audio Processing - Audio Processing using MLProject-24: TextTalker: Unveiling Textual Secrets - Text Characterization using Speech RecognitionProject-25: AudioMaestro: Harmonizing Audio Classifications - Audio Classification using Neural NetworksProject-26: VoiceCompanion: Your AI Voice Assistant - Developing a Voice AssistantProject-27: SegmentSense: Uncovering Customer Segments - Customer SegmentationProject-28: FIFAPhenom: Scoring Goals with FIFA 2019 AnalysisProject-29: SentimentWeb: Surfing the Waves of Web Scraped Sentiments - Sentiment Analysis of Web Scraped DataProject-30: VinoVirtuoso: Unveiling the Essence of Red Wine - Determining Red Vine QualityProject-31: PersonaProbe: Decoding Customer Personalities - Customer Personality AnalysisProject-32: LiterateNation: A Journey into India's Literacy Landscape - Literacy Analysis in IndiaProject-33: CropGuide: Cultivating Crop Knowledge with PyQt5 and SQLite - Building Crop Guide ApplicationProject-34: PassKeeper: Safeguarding Secrets with PyQt5 and SQLite - Building Password Manager ApplicationProject-35: NewsNow: Unveiling the News with Python - Create A News ApplicationProject-36: GuideMe: Guiding You Along the Way - Create A Guide Application with PythonProject-37: ChefWeb: Savoring Culinary Delights - Building The Chef Web Application with Django, PythonProject-38: SyllogismSolver: Unlocking the Logic of Inference - Syllogism-Rules of Inference Solver Web ApplicationProject-39: VisionCraft: Crafting Visual Experiences - Building Vision Web Application with Django, PythonProject-40: BudgetPal: Navigating Financial Paths - Building Budget Planner Application with PythonPower BI Projects:project-41: Road Accident Analysis: Relations and Time IntelligenceProject-42: Generic Sales Analysis for Practice: Data TransformationProject-43: Maven Toy Sales Analysis: Transformations and DAXProject-44: Maven Pizza Sales Analysis: Transformations and DAXProject-45: IT Spend Analysis: Variance of Global IT FirmProject-46: Sales Data Analysis: Generic Super Market SalesProject-47: Foods and Beverages Sales Analysis DashboardProject-48: Budget vs. Actual Spending Analysis DashboardProject-49: HR Analytics Dashboard: Attrition AnalysisProject-50: E-commerce Super Store Sales AnalysisTableau Projects:project-51: Video Game Sales Dashboard: Gaming MarketProject-52: IMDB Movie Review Dataset Dashboard: Film InsightsProject-53: Goodreads Dataset Dashboard: Book AnalysisProject-54: Friends Sitcom Dashboard: TV Series Data AnalysisProject-55: Amazon Sales Dashboard: Online Retail InsightsProject-56: Hollywood's Most Profitable Stories Dashboard: Film AnalysisProject-57: Netflix Dashboard: Streaming Service PerformanceProject-58: TripAdvisor Hotel Review Dataset: Travel AnalysisProject-59: Breaking Bad Dashboard: TV Series InsightsProject-60: Customer Personality Analysis: Marketing and Sales StrategiesTips: Create A 60 Days Study Plan , Spend 1-2hrs Per Day, Build 60 Projects In 60 Days.The Only Course You Need To Become A Data Scientist, Get Hired And Start A New CareerNote: This Course Is Worth Of Your Time And Money, Enroll Now Before Offer Expires.

Who this course is for
Beginners in data science


Homepage

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Data Science Bundle: 180 Hands-On Projects - Course 3 of 3 by Pianalytix
Last updated 9/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 53h 34m | Size: 24.2 GB

Build & Deploy 180 Projects - Data Science, Machine Learning, Deep Learning (Python, Flask, Django, AWS, Azure Cloud)



What you'll learn
Equip yourself with skills that are in high demand, increasing your chances of getting hired as a Data Scientist.
Apply Machine Learning to real-world scenarios, making you job-ready.
Get exposure to Deep Learning, Transfer Learning, and Neural Networks, expanding your skill set.
Master the essentials of Machine Learning using Python, the go-to language for Data Science.
Learn to build robust Machine Learning models that can withstand real-world uncertainties.
Acquire techniques to fine-tune and improve your Machine Learning models for better performance.
Develop a strong intuition for choosing the right Machine Learning models for different tasks.
Empower yourself to conduct powerful data analyses that can drive decision-making processes.

Requirements
Basic knowledge of machine learning

Description
Enroll in this course for an immersive learning experience with compelling benefits . You'll gain hands-on experience in practical machine learning and data-driven projects . Develop proficiency in Python, Flask, Django, and cloud deployment on platforms like Heroku, AWS, Azure, GCP, and Streamlit .This course guides you through the entire project lifecycle, from ideation to deployment, with a focus on real-world applications . It bridges the gap between data analytics and business strategy, making it suitable for both newcomers and seasoned practitioners . With 60 diverse projects, you can build a robust portfolio at your own pace .Don't miss this opportunity to advance your data science career and make a real impact in today's data-rich world . Enroll now before the offer expires and transform your future .In This Course, We Are Going To Work On 60 Real World Projects Listed Below:Data Science Projects:project-1: CarPricer: Fueling Car Prices - Build Car Prices Prediction App on HerokuProject-2: LoveCounter: Counting Affairs - Build Affair Count Django App on HerokuProject-3: ShroomSense: Unveiling Fungal Delights - Build Shrooming Predictions App on HerokuProject-4: PlayRater: Play Store Insights - Google Play App Rating Prediction on HerokuProject-5: BankGuru: Banking on Customer Predictions - Build Bank Customers Predictions Django App on HerokuProject-6: ArtSculptor: Sculpting Artistic Insights - Build Artist Sculpture Cost Prediction Django App on HerokuProject-7: MediCost: Healing Insights - Build Medical Cost Predictions Django App on HerokuProject-8: PhishGuard: Safeguarding the Web - Phishing Webpages Classification Django App on HerokuProject-9: FashionFit: Fit for Style - Clothing Fit-Size Predictions Django App on HerokuProject-10: TextSim: Unveiling Textual Connections - Build Similarity In-Text Django App on HerokuProject-11: ForgeryFinder: Unmasking Pan Card Tampering with AI - Deploy On HerokuProject-12: BreedRover: Fetching Dog Breeds with a Flask TwistProject-13: AquaMark: Immortalizing Images with Watermark Wizardry - Deploy On HerokuProject-14: SignSense: Navigating the Road with Traffic Sign DetectionProject-15: TextXtract: Unlocking Secrets Hidden in ImagesProject-16: PlantWhisperer: Decoding Nature's Language for Plant Disease PredictionProject-17: AutoTrack: Counting Cars and Unleashing Traffic Insights with FlaskProject-18: FaceSwap Pro: Transform Faces and Dive into a World of FunProject-19: FeatheredForecast: Predicting Bird Species with Flask FeathersProject-20: VisualIntel: Exploring Visual Intelligence with Intel Image ClassificationProject-21: HeartBeatHero: Defending Hearts with Eval ML - Heart Attack Risk PredictionProject-22: FraudGuardian: Shielding Finances with Pycaret - Credit Card Fraud DetectionProject-23: SkyHighForecaster: Soaring through Fare Predictions - Flight Fare PredictionProject-24: FuelProphet: Fueling Future Insights - Petrol Price ForecastingProject-25: ChurnSavior: Safeguarding Customer Loyalty - Bank Customer Churn PredictionProject-26: AirQInsight: Breathing Easy with TPOT - Air Quality Index PredictorProject-27: RainMaster: Unveiling Precipitation Patterns - Rain Prediction using ML models & PyCaretProject-28: PizzaCraver: Predicting Pizza Prices - Pizza Price Prediction using ML and EVALMLProject-29: IPLOracle: Unlocking Cricket Magic - IPL Cricket Score Prediction using TPOTProject-30: BikeRider: Pedaling through Rentals - Predicting Bike Rentals Count using ML and H2O Auto MLProject-31: ConcreteWizard: Building Strong Foundations - Concrete Compressive Strength Prediction using Auto KerasProject-32: HomePriceWhiz: Navigating the Housing Market - Bangalore House Price Prediction using Auto SK LearnProject-33: LifeSaver: Predicting Hospital Outcomes - Hospital Mortality Prediction using PyCaretProject-34: CareerPro: Elevating Professional Paths - Employee Evaluation for Promotion using ML and Eval Auto MLProject-35: HydraH2O: Quenching the Thirst for Drinking Water Potability - Drinking Water Potability Prediction using ML and H2O Auto MLProject-36: GameQuest: Unlocking the World of Video Game Sales AnalysisProject-37: TicTacToEvolved: A Strategic Battle of Wits - Build Tic Tac Toe GameProject-38: PassGenie: Creating Secure Passwords - Random Password Generator Website using DjangoProject-39: PortfolioPro: Showcasing Your Skills - Building Personal Portfolio Website using DjangoProject-40: TodoTracker: Organizing Tasks Together - Todo List Website For Multiple UsersProject-41: CryptoPlanner: Riding the Waves of Crypto - Crypto Coin Planner GUI ApplicationProject-42: TweetBot: Your Personal Twitter Companion - Your Own Twitter Bot - Python, Request, API, Deployment, TweepyProject-43: DictBuilder: Crafting a Personal Dictionary - Create A Python Dictionary using Python, Tkinter, JSONProject-44: EggCatcher: A Fun Game of Precision - Egg-Catcher Game using PythonProject-45: RoutineTracker: Keeping Your Day on Track - Personal Routine Tracker Application using PythonProject-46: ScreenPet: Unleashing the Pet on Your Screen - Building Screen-Pet using Tkinter & CanvasProject-47: CaterpillarGame: A Journey of Transformation - Building Caterpillar Game using Turtle and PythonProject-48: HangmanMaster: Cracking the Word Code - Building Hangman Game using PythonProject-49: SmartCalc: Math Made Easy - Developing our own Smart Calculator using Python and TkinterProject-50: SecretSteganography: Hiding Messages in Images - Image-based steganography using Python and pillowsPower BI Projects:project-51: Patient Summary Dashboard: Medical RecordsProject-52: Global Super Store Sales Data AnalysisProject-53: Boston Housing Dataset Dashboard: Real EstateProject-54: Crime in Los Angeles: Yearly City AnalysisProject-55: IMDB Movie Dataset Dashboard: Movie ComparisonProject-56: Hotel Reservation Dashboard: Global Hotel BusinessProject-57: Toy Sales Data Analysis: Practice DatasetProject-58: Netflix Stock Price Dashboard: Business AnalysisProject-59: Personal Finance Management Dashboard: Financial InsightsProject-60: A Deep Dive into Bank Customer Churn with Power BITips: Create A 60 Days Study Plan , Spend 1-2hrs Per Day, Build 60 Projects In 60 Days .The Only Course You Need To Become A Data Scientist, Get Hired And Start A New CareerNote: This Course Is Worth Of Your Time And Money, Enroll Now Before Offer Expires .

Who this course is for
Beginners in data science


Homepage

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Download from RapidGator






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Premium Links






Password: Most populated continent?
 
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