Machine Learning & AI Development with Python

Description

Learn how to build and deploy machine learning models with Python using TensorFlow and Scikit-Learn in this practical, step-by-step course. Designed for both beginners and professionals, this course provides a structured approach to mastering ML concepts, model building, and real-world applications.

📌 What’s Included:

🎥 15+ Hours of HD Video Tutorials – Hands-on coding demonstrations.

📚 Downloadable Checklists & Workbooks – Data preprocessing, model tuning, and troubleshooting guides.

📝 Interactive Jupyter Notebooks – Pre-written code for experimentation and learning.

🚀 Real-World Projects – Build models for image recognition, fraud detection, and NLP tasks.

🎓 Certificate of Completion – Validate your ML expertise for career growth.

📌 Course Modules:

✅ Introduction to Machine Learning – Fundamentals, data preprocessing, and feature engineering.

✅ Supervised Learning Models – Linear regression, decision trees, and random forests.

✅ Deep Learning with TensorFlow – Build neural networks and train CNNs.

✅ Unsupervised Learning & Clustering – K-Means, PCA, and dimensionality reduction.

✅ Deploying ML Models – Model saving, API integration, and cloud deployment.

By the end of this course, you’ll be able to develop, train, and deploy AI-powered models confidently! 🚀