Data Science Bundle 180 Hands–On Projects – Course 2 of 3

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

https://www.udemy.com/course/real-world-machine-learning-and-data-science-projects/