What you'll learn
- Build ML models with NumPy &scikit-learn, build & train supervised models for prediction & binary classification tasks (linear, logistic regression)
- Build & train a neural network with TensorFlow to perform multi-class classification, & build & use decision trees & tree ensemble methods
- Apply best practices for ML development & use unsupervised learning techniques for unsupervised learning including clustering & anomaly detection
- Build recommender systems with a collaborative filtering approach & a content-based deep learning method & build a deep reinforcement learning model
Skills you'll gain
- Decision Trees
- Artificial Neural Network
- Logistic Regression
- Recommender Systems
- Linear Regression
Course details
Specialization Course
Get in-depth knowledge of a subject
Beginner level
Recommended experience
Course Duration
2 months at 10 hours a week
Flexible schedule
Learn at your own pace
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Course fee
₹1,50,000
₹1,80,000