Udemy – Projects in Machine Learning Beginner To Professional

Description

Projects in Machine Learning: Build a Portfolio That Gets You Hired

Knowing ML theory is one thing. Building real systems that solve real problems is what employers pay for. This course skips fluff and takes you straight into 10+ hands-on machine learning projects—from beginner to professional level.

Projects You’ll Build

• Board Game Review Predictor—regression with real user data
• Credit Card Fraud Detector—anomaly detection in imbalanced datasets
• NLP Sentiment Analyzer—classify text using TF-IDF and Naive Bayes
• Object Recognition System—computer vision with OpenCV and CNNs
• Image Super Resolution—enhance low-quality images using deep learning
• K-Means Customer Segmentation—unsupervised clustering for business
• PCA for Dimensionality Reduction—simplify complex datasets

Skills You’ll Gain

• Data preprocessing for messy, real-world datasets
• Feature engineering for higher model performance
• Model selection and hyperparameter tuning
• Evaluation metrics beyond accuracy (precision, recall, F1-score)
• Deployment-ready code structure

Who Is This For?

• Students needing portfolio projects for internships
• Bootcamp grads preparing for job hunting
• Self-taught ML learners stuck on “what to build next”
• Professionals adding ML to their current role

Stop Watching Tutorials. Start Building.

Each project includes starter code, dataset, and step-by-step guidance—so you can focus on learning, not setup.

Your next job offer won’t come from a certificate—it’ll come from a project. Start building yours today.