Ementorhub

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

Machine Learning

Machine Learning Methods

Unsupervised Learning

Tensorflow

Artificial Intelligence

Applied Machine Learning

Random Forest Algorithm

Predictive Modeling

Jupyter

Deep Learning

Classification And Regression Tree (CART)

Feature Engineering

Specialization - 3 course series

• Build a deep reinforcement learning model.

Advanced Learning Algorithms

Unsupervised Learning, Recommenders, Reinforcement Learning