In this challenge, we need to predict the sales price for each house.
In this blog, I talked about why we create a virtual environment, how to create a virtual environment by Python and how to use virtual environment in Jupyter Notebook.
In this blog, I talk about the requirements and the steps for installing module fiona on Windows OS.
In this blog, I introduced 3 Ensemble Learning algorithms: Voting Classifiers, Bagging and Pasting, Random Forests.
In this challenge, we need to analyse what sorts of people were likely to survive. In particular, we also need to apply the tools of machine learning to predict which passengers survived the tragedy.
This blog introduces how CART algorithm works for classification and regression Decision Tree, how we understand and predict with the Decision Tree.
A Support Vector Machine (SVM) is a very powerful and versatile Machine Learning model, capable of performing linear or nonlinear classification and regression. It is one of the most popular models in Machine Learning. SVMs are suited for classification of complex but small- or medium-sized datasets.
In this blog, I will resume Logistic Regression, Softmax Regression and their usecases via Python.
101 post articles, 13 pages.