Data Science Bundle Course: 180 Hands-On Projects – Course 3 of 3. Enroll in this course and experience a comprehensive learning experience with compelling benefits. You will gain hands-on experience in practical machine learning and data-driven projects. Develop proficiency in Python, Flask, Django, and cloud deployments on platforms like Heroku, AWS, Azure, GCP, and Streamlit. This course will guide you through the project lifecycle, from ideation to deployment, with a focus on real-world applications. It bridges the gap between data analytics and business strategy and is suitable for both newcomers and experienced professionals. With 60 diverse projects, you can build a strong 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 ends and start shaping your future. In this course, we will work on 60 real-world projects listed below:
Data science projects:
Project 1: CarPricer: Boosting Car Prices – Developing a Car Price Prediction Application on Heroku
Project-2: LoveCounter: Counting Affairs – Build the Affair Count Django app on Heroku
Project 3: ShroomSense: Unveiling Mushroom Delights – Developing a Shrooming Predictions App on Heroku
Project 4: PlayRater: Play Store Insights – Predicting Google Play App Rating on Heroku
Project 5: BankGuru: Leveraging Customer Predictions – Build the Django app for bank customer predictions on Heroku
Project 6: ArtSculptor: Artist’s Insights into Sculpture – Build the Cost Prediction App for Artist Sculptures Django on Heroku
Project 7: MediCost: Healing Insights – Building a Django application to predict medical costs on Heroku
Project-8: PhishGuard: Web Protection – Categorization of Django phishing websites on Heroku
Project 9: FashionFit: Fit for Style – Django app size prediction for clothing on Heroku
Project-10: TextSim: Uncovering Text Connections – Creating an In-Text Parallelization of a Django Application on Heroku
Project-11: ForgeryFinder: Detecting Pan-Card Manipulation with AI – Deployment on Heroku
Project-12: BreedRover: Retrieve dog breeds with Flask Twist
Project-13: AquaMark: Immortalize images with watermark magic – Available on Heroku
Project-14: SignSense: Street navigation with traffic sign recognition
Project-15: TextXtract: Revealing the secrets hidden in images
Project 16: PlantWhisperer: Deciphering the language of nature to predict plant diseases
Project-17: AutoTrack: Count cars and publish traffic information with Flask
Project-18: FaceSwap Pro: Swap faces and immerse yourself in the world of entertainment
Project-19: FeatheredForecast: Predicting bird species using bottle feathers
Project-20: VisualIntel: Investigating visual intelligence with Intel image classification
Project-21: HeartBeatHero: Defending hearts with Eval ML – predicting heart attack risk
Project-22: FraudGuardian: Financial Protection with Pycaret – Credit Card Fraud Detection
Project-23: SkyHighForecaster: Rising through Airfare Forecasting – Airfare Forecasting
Project-24: FuelProphet: Fueling Future Insights – Gasoline Price Forecast
Project-25: ChurnSavior: Protect customer loyalty – predict customer churn at banks
Project-26: AirQInsight: Breathe easy with TPOT – Air Quality Index Predictor
Project-27: RainMaster: Uncovering precipitation patterns – Rain forecasting with ML and PyCaret models
Project-28: PizzaCraver: Pizza Price Prediction – Pizza Price Prediction with ML and EVALML
Project-29: IPLOracle: Unlock Cricket Magic – IPL Cricket Score Prediction using TPOT
Project-30: BikeRider: Bike Rental Cycle – Predicting the number of bike rentals using ML and H2O Auto ML
Project-31: Concrete Assistant: Building Strong Foundations – Predicting Concrete Compressive Strength with Auto Keras
Project-32: HomePriceWhiz: Navigating the Real Estate Market – Predicting Property Prices in Bangalore with Auto SK Learn
Project 33: Lifesaver: Predicting Hospital Outcomes – Predicting Hospital Mortality Using PyCaret
Project-34: CareerPro: Elevating Professional Paths – Evaluating employees for promotions using ML and Eval Auto ML
Project-35: HydraH2O: Quench your thirst for drinking water – predict drinking water consumption with ML and H2O Auto ML
Project 36: GameQuest: Unlocking the World of Video Game Sales Analytics
Project-37: TicTacToEvolved: A Strategic Battle of Wits – A Tic-Tac-Toe Game
And…
Project-60: A deep insight into bank customer acquisition with Power BI
Tips: Create a 60-day study plan, spend 1–2 hours a day and create 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 your time and money, enroll now before the offer ends.