Regression in scikit-learn
We will compare several regression methods by using the same dataset. We will try to predict the price of a house as a function of its attributes. In [6]: import numpy…
k-Nearest Neighbors(kNN)
k-Nearest Neighbors(kNN) Pros: High accuracy, insensitive to outliers, no assumptions about data Cons: Computationally expensive, requires a lot of memory Works with: Numeric values, nominal values We have an existing…
Linear Classification method with ScikitLearn
This blog is from the book and aimed to be as a learning material for myself only.Linear Classification method implements regularized linear models with stochastic gradient descent (SGD) learning. Each sample estimates…
Evaluating Machine Learning Algorithms
This blog contains notes for me to understand how to evaluate machine learning algorithms . I want to see how models compare and contrast to each other. This is from…