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In this course, you will learn :
- Create strong Machine Learning models.
- Learn about the entire product workflow for the machine learning lifecycle.
- Case studies and projects from real life to help students understand how things are done in the real world.
- Understand which Machine Learning model to use for each problem type.
- Learn to programme in Python using the most recent Python 3.
- Learn how to preprocess data, clean data, and analyse large amounts of data.
- Learn how to use NumPy to manipulate numerical data.
- Discover how to use Pandas for data analysis.
- Have a strong understanding of many Machine Learning models.
Syllabus :
- Project-1: Pan Card Tempering Detector App -Deploy On Heroku
- Project-2: Dog breed prediction Flask App
- Project-3: Image Watermarking App -Deploy On Heroku
- Project-4: Traffic sign classification
- Project-5: Text Extraction From Images Application
- Project-6: Project On Plant Disease Prediction
- Project-7: Vehicle Detection And Counting
- Project-8: Create A Face Swap Application
- Project-9: Bird Species Prediction Flask App
- Project-10: Intel Image Classification Flask App
- Project-11: Language Translator App Using IBM Cloud Service -Deploy On Heroku
- Project-12: Predict Views On Advertisement Using IBM Watson -Deploy On Heroku
- Project-13: Laptop Price Predictor -Deploy On Heroku
- Project-14: WhatsApp Text Analyzer -Deploy On Heroku
- Project-15: Course Recommendation System -Deploy On Heroku
- Project-16: IPL Match Win Predictor -Deploy On Heroku
- Project-17: Body Fat Estimator App -Deploy On Microsoft Azure
- Project-18: Campus Placement Predictor App -Deploy On Microsoft Azure
- Project-19: Car Acceptability Predictor -Deploy On Google Cloud
- Project-20: Book Genre Classification App -Deploy On Amazon Web Services
- Project-21: Sentiment Analysis Django App -Deploy On Heroku
- Project-22: Attrition Rate Django Application
- Project-23: Find Legendary Pokemon Django App -Deploy On Heroku
- Project-24: Face Detection Streamlit App
- Project-25: Cats Vs Dogs Classification Flask App
- Project-26: Customer Revenue Prediction App -Deploy On Heroku
- Project-27: Gender From Voice Prediction App -Deploy On Heroku
- Project-28: Restaurant Recommendation System
- Project-29: Happiness Ranking Django App -Deploy On Heroku
- Project-30: Forest Fire Prediction Django App -Deploy On Heroku
- Project-31: Build Car Prices Prediction App -Deploy On Heroku
- Project-32: Build Affair Count Django App -Deploy On Heroku
- Project-33: Build Shrooming Predictions App -Deploy On Heroku
- Project-34: Google Play App Rating prediction With Deployment On Heroku
- Project-35: Build Bank Customers Predictions Django App -Deploy On Heroku
- Project-36: Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku
- Project-37: Build Medical Cost Predictions Django App -Deploy On Heroku
- Project-38: Phishing Webpages Classification Django App -Deploy On Heroku
- Project-39: Clothing Fit-Size predictions Django App -Deploy On Heroku
- Project-40: Build Similarity In-Text Django App -Deploy On Heroku
- Project-41: Heart Attack Risk Prediction Using Eval ML (Auto ML)
- Project-42: Credit Card Fraud Detection Using Pycaret (Auto ML)
- Project-43: Flight Fare Prediction Using Auto SK Learn (Auto ML)
- Project-44: Petrol Price Forecasting Using Auto Keras
- Project-45: Bank Customer Churn Prediction Using H2O Auto ML
- Project-46: Air Quality Index Predictor Using TPOT With Deployment (Auto ML)
- Project-47: Rain Prediction Using ML models & PyCaret With Deployment (Auto ML)
- Project-48: Pizza Price Prediction Using ML And EVALML(Auto ML)
- Project-49: IPL Cricket Score Prediction Using TPOT (Auto ML)
- Project-50: Predicting Bike Rentals Count Using ML And H2O Auto ML
