ML Mastery:From Basics to Brilliance
Master machine learning with this comprehensive course covering algorithms, workflows, and model deployment. Gain expertise in regression, classification, and clustering techniques through real-world projects like fraud detection and stock price prediction. Includes certification, 80% hands-on training, and access to Kaggle datasets and Jupyter Notebooks for practical learning.
Tools and Technologies:
- Scikit-learn
- TensorFlow
- PyTorch
- Jupyter Notebook
Modules
ML Kickstart: The Basics (4 hours)
- Introduction to ML frameworks and tools.
- Understanding data preprocessing.
Learning Like a Machine (8 hours)
- Mastering core techniques: Regression, classification.
- Unsupervised learning techniques: Clustering.
Advanced ML Arsenal (12 hours)
- Neural networks and deep learning basics.
- Feature engineering and model explainability.
ML in the Wild: Real-Time Projects (16 hours)
- Fraud detection.
- Stock price prediction.