Supervised Learning with scikit-learn | DataCamp
- https://www.datacamp.com/courses/supervised-learning-with-scikit-learn
- At the end of day, the value of Data Scientists rests on their ability to describe the world and to make predictions. Machine Learning is the field of teaching machines and computers to learn from existing data to make predictions on new data - will a given tumor be benign or malignant? Which of your customers will take their business elsewhere? Is a particular email spam or not? In this course, you'll learn how to use Python to perform supervised learning, an essential component of Machine Learning. You'll learn how to build predictive models, how to tune their parameters and how to tell how well they will perform on unseen data, all the while using real world datasets. You'll do so using scikit-learn, one of the most popular and user-friendly machine learning libraries for Python.
- https://github.com/haoran119/data-science/tree/master/src/DataCamp/Supervised%20Learning%20with%20scikit-learn
- Which of them is a supervised classification problem?
- Using labeled financial data to predict whether the value of a stock will go up or go down next week.
- Using labeled housing price data to predict the price of a new house based on various features.
- Using unlabeled data to cluster the students of an online education company into different categories based on their learning styles.
- Using labeled financial data to predict what the value of a stock will be next week.