• Regeln für den Audio-Bereich:

    Allgemeine Boardregeln: MyBoerse-bz-Regelwerk Regelwerk Audioboerse

    1. Das richtige Forum

    Wähle ein passendes Unterforum für dein Angebot

    2. Doppelte Threads vermeiden / Ein Thread pro Interpret


    Da es hier langsam ausartet mit gleichen Interpreten, aber verschiedenen Jahren, gilt ab sofort: Nur noch ein Thread pro Interpret, unabhängig von der Jahreszahl der verschiedenen Alben. Wünschenswert wäre es wenn ihr den Titel ab sofort so benennt: Interpret - Diskographie

    Um Doppelpost zu vermeiden, nutze vor dem Posten die Suchenfunktion. Gibt es schon einen passenden Thread, dann poste Dein Angebot dort hinein. Für einzelne Alben einer Sammlung bzw. Hörbuchreihen bitte in den passenden Sammelthreads posten.

    3. Der richtige Titel

    Gib dem Thread einen einfachen aber vernünftigen Titel, der zum Angebot passt. Um den Thread besser über die Suche zu finden, solltest du einen normalen Titel benutzen. Bei Threads in den Foren Musik, HQ Audio / Lossless und Soundtracks / OST immer das Jahr am Ende des Threadtitels in Klammern angeben, z.B.: Interpretname - Albumname (2016)

    4. Die richtigen Angaben

    Ein Thread/Thema in der Audio-Börse muss dem User Informationen über das Angebot geben können.

    Pflichtangaben:

    Bild des Uploads
    Genre
    Bitrate der Musik Datei: in Kbit/s
    Hoster
    Größe in MB oder GB
    Tracklist

    Optional: Angabe wenn Cover dabei sind.


    Sollte ein Angebot diese Pflichtangaben nicht beinhalten, wird der Verfasser darauf hingewiesen. Sollte dieses dann nicht geändert werden, werden die Beiträge gelöscht.

    (Sollte der Upload nicht als mp3 vorliegen, sondern als ogg/Bin/Cue o.Ä., dann ist dies auch eine Pflichtangabe)

    5. Defekte/nicht verfügbare Links und andere Probleme mit einem Upload

    Sollte ein Upload down sein, dann meldet es per PN dem Uploader. Gibt es zwei Threads zum gleichen Thema oder ein Upload im falschen Forum, dann meldet dies via "Beitrag melden" Funktion, diese befindet sich neben dem Bedanken-Button.

    6. Reupp- /Hosteranfragen
    Reuppanfragen oder auch Anfragen ob es bei einem anderen Hoster geuppt werden kann, bitte direkt per PN an den Uploader und nicht in den Thread.
  • Bitte registriere dich zunächst um Beiträge zu verfassen und externe Links aufzurufen.

*** Bestes IPTV *** bester Preis *** gratis Test ***



Data Science Bundle - 180 Hands-On Projects - Course 3 of 3

Tutorials

MyBoerse.bz Pro Member
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Free Download Data Science Bundle - 180 Hands-On Projects - Course 3 of 3
Last updated 10/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 51h 56m | Size: 23.1 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 Heroku
Project-2: LoveCounter: Counting Affairs - Build Affair Count Django App on Heroku
Project-3: ShroomSense: Unveiling Fungal Delights - Build Shrooming Predictions App on Heroku
Project-4: PlayRater: Play Store Insights - Google Play App Rating Prediction on Heroku
Project-5: BankGuru: Banking on Customer Predictions - Build Bank Customers Predictions Django App on Heroku
Project-6: ArtSculptor: Sculpting Artistic Insights - Build Artist Sculpture Cost Prediction Django App on Heroku
Project-7: MediCost: Healing Insights - Build Medical Cost Predictions Django App on Heroku
Project-8: PhishGuard: Safeguarding the Web - Phishing Webpages Classification Django App on Heroku
Project-9: FashionFit: Fit for Style - Clothing Fit-Size Predictions Django App on Heroku
Project-10: TextSim: Unveiling Textual Connections - Build Similarity In-Text Django App on Heroku
Project-11: ForgeryFinder: Unmasking Pan Card Tampering with AI - Deploy On Heroku
Project-12: BreedRover: Fetching Dog Breeds with a Flask Twist
Project-13: AquaMark: Immortalizing Images with Watermark Wizardry - Deploy On Heroku
Project-14: SignSense: Navigating the Road with Traffic Sign Detection
Project-15: TextXtract: Unlocking Secrets Hidden in Images
Project-16: PlantWhisperer: Decoding Nature's Language for Plant Disease Prediction
Project-17: AutoTrack: Counting Cars and Unleashing Traffic Insights with Flask
Project-18: FaceSwap Pro: Transform Faces and Dive into a World of Fun
Project-19: FeatheredForecast: Predicting Bird Species with Flask Feathers
Project-20: VisualIntel: Exploring Visual Intelligence with Intel Image Classification
Project-21: HeartBeatHero: Defending Hearts with Eval ML - Heart Attack Risk Prediction
Project-22: FraudGuardian: Shielding Finances with Pycaret - Credit Card Fraud Detection
Project-23: SkyHighForecaster: Soaring through Fare Predictions - Flight Fare Prediction
Project-24: FuelProphet: Fueling Future Insights - Petrol Price Forecasting
Project-25: ChurnSavior: Safeguarding Customer Loyalty - Bank Customer Churn Prediction
Project-26: AirQInsight: Breathing Easy with TPOT - Air Quality Index Predictor
Project-27: RainMaster: Unveiling Precipitation Patterns - Rain Prediction using ML models & PyCaret
Project-28: PizzaCraver: Predicting Pizza Prices - Pizza Price Prediction using ML and EVALML
Project-29: IPLOracle: Unlocking Cricket Magic - IPL Cricket Score Prediction using TPOT
Project-30: BikeRider: Pedaling through Rentals - Predicting Bike Rentals Count using ML and H2O Auto ML
Project-31: ConcreteWizard: Building Strong Foundations - Concrete Compressive Strength Prediction using Auto Keras
Project-32: HomePriceWhiz: Navigating the Housing Market - Bangalore House Price Prediction using Auto SK Learn
Project-33: LifeSaver: Predicting Hospital Outcomes - Hospital Mortality Prediction using PyCaret
Project-34: CareerPro: Elevating Professional Paths - Employee Evaluation for Promotion using ML and Eval Auto ML
Project-35: HydraH2O: Quenching the Thirst for Drinking Water Potability - Drinking Water Potability Prediction using ML and H2O Auto ML
Project-36: GameQuest: Unlocking the World of Video Game Sales Analysis
Project-37: TicTacToEvolved: A Strategic Battle of Wits - Build Tic Tac Toe Game
Project-38: PassGenie: Creating Secure Passwords - Random Password Generator Website using Django
Project-39: PortfolioPro: Showcasing Your Skills - Building Personal Portfolio Website using Django
Project-40: TodoTracker: Organizing Tasks Together - Todo List Website For Multiple Users
Project-41: CryptoPlanner: Riding the Waves of Crypto - Crypto Coin Planner GUI Application
Project-42: TweetBot: Your Personal Twitter Companion - Your Own Twitter Bot - Python, Request, API, Deployment, Tweepy
Project-43: DictBuilder: Crafting a Personal Dictionary - Create A Python Dictionary using Python, Tkinter, JSON
Project-44: EggCatcher: A Fun Game of Precision - Egg-Catcher Game using Python
Project-45: RoutineTracker: Keeping Your Day on Track - Personal Routine Tracker Application using Python
Project-46: ScreenPet: Unleashing the Pet on Your Screen - Building Screen-Pet using Tkinter & Canvas
Project-47: CaterpillarGame: A Journey of Transformation - Building Caterpillar Game using Turtle and Python
Project-48: HangmanMaster: Cracking the Word Code - Building Hangman Game using Python
Project-49: SmartCalc: Math Made Easy - Developing our own Smart Calculator using Python and Tkinter
Project-50: SecretSteganography: Hiding Messages in Images - Image-based steganography using Python and pillows
Power BI Projects
Project-51: Patient Summary Dashboard: Medical Records
Project-52: Global Super Store Sales Data Analysis
Project-53: Boston Housing Dataset Dashboard: Real Estate
Project-54: Crime in Los Angeles: Yearly City Analysis
Project-55: IMDB Movie Dataset Dashboard: Movie Comparison
Project-56: Hotel Reservation Dashboard: Global Hotel Business
Project-57: Toy Sales Data Analysis: Practice Dataset
Project-58: Netflix Stock Price Dashboard: Business Analysis
Project-59: Personal Finance Management Dashboard: Financial Insights
Project-60: A Deep Dive into Bank Customer Churn with Power BI
Tips: 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 Career
Note: This Course Is Worth Of Your Time And Money, Enroll Now Before Offer Expires.
Who this course is for
Beginners in data science
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