Learn different concepts and techniques in machine learning using Scikit-learn library in Python.
This course is for people who have basic knowledge of python and want to get started with Machine Learning using Scikit-learn, which is an open source library for Machine Learning Algorithms.
In the first part of this course we will get started by setting up our computer for python and scikit-learn, get an overview of; Machine Learning; different datasets used in the course and Skeleton for building a machine learning model.
In the second part of this course we will learn about implementing different algorithms from Scikit-learn in python and improve the accuracy of our model by doing hyper-parameter tuning.
In the final article we will build a Machine Learning model ground up with categorical data, during the course we will learn about, label filter, feature mapping, imputing, standardization and dimension reduction technique.Read