Project completed in week 2 (05.10.-09.10.20) of the Data Science Bootcamp at Spiced Academy in Berlin.
On the second week of the bootcamp, we started with Machine Learning (ML). If you think about it, ML surrounds us in everyday life: Netflix recommending you movies you might like, your smartphone camera detecting faces, self-driving cars recognizing passengers on the street, bank detecting credit card fraud -- these are all applications of ML. They can be split into three main ML categories:
- Classification: Logistic Regression, Decision Trees, Random Forest
- Regression: Linear Regression, Regression Trees, SVR, Forecasting
- Unsupervised: PCA, Clustering, t-SNE, Matrix factorization
This week we focused only on classification and applied logistic regression, decision tree, and random forest models on the Titanic dataset to predict passenger survival.