Scikit-Learn Tutorial | Machine Learning with Scikit-Learn (Simplilearn)

Taught By: Simplilearn (Taught on YouTube)

Tutorial Type: Video

Tutorial Level: Beginner

Tutorial Duration: Self-Paced 

Tutorial Description: This tutorial is for absolute beginners who want themselves to get introduced with Scikit-Learn and begin with coding in Machine Learning. This tutorial covers the following topics that you will learn about:

  • What is Scikit-Learn?
  • What we can achieve using Scikit-Learn?
  • Solving a real-life problem using Scikit-Learn

Prerequisite: You need to have a basic knowledge of Python programming. Also, some basic knowledge about Machine Learning would be beneficial.

Price: Free

Tutorial Link: Visit the tutorial here

 

Scikit-Learn Tutorial | Machine Learning with Python (Edureka)

Taught By: Edureka (Taught on YouTube)

Tutorial Type: Video

Tutorial Level: Beginner

Tutorial Duration: Self-Paced

Tutorial Description: This tutorial introduces you to Machine Learning in Python. It will also take you through Regression and Clustering techniques along with a demo on SVM classification on the famous iris dataset. This tutorial will help you learn about the following topics:

  • Machine Learning Overview
  • Introduction to Scikit-Learn
  • Install and Setup Scikit-Learn
  • Regression and Classification
  • Solving a real-life problem using Scikit-Learn

Prerequisite: You need to have a basic knowledge about Python programming. Also, a basic level knowledge in Machine Learning would be beneficial.

Price: Free

Tutorial Link: Visit the tutorial here

 

 

Scikit-Learn User Guide (Scikit-Learn)

Taught By: Scikit-Learn Official Documentation

Course Type: Web

Course Level: Beginner to Advanced

Course Duration: Self-Paced

Course Description: This is the official documentation of Scikit-Learn, which covers all the concepts and functionality of the Scikit-Learn library.  This is a Beginner to Advanced learning resource. If you are a beginner in Machine Learning then you must study very carefully  because some concepts might be difficult to grasp as you go through the documentation. If you are an advanced Machine Learning practitioner, no doubt this learning resource would prove to be very helpful for you.

Prerequisite: You need to have a basic knowledge about Python programming. Also an introductory level knowledge in Machine Learning would be beneficial.

Price: Free

Course Link: Visit the course here

 

SciPy 2016 Scikit-Learn Tutorial (SciPy 2016)

Taught By: Sebastian Raschka (Michigan State University) and Andreas Mueller (NYU Center for Data Science)

Course Type: Video

Course Level: Beginner to Intermediate

Course Duration: Self-Paced

Course Description: This course is an exhaustive Machine Learningearning resource covering the following topics that you will learn about:

  • Supervised Learning and Unsupervised Learning
  • Data Wrangling in Python
  • Solving a real-world problem using Scikit-Learn
  • Cross-Validation
  • Hyperparameter Tuning
  • Scikit-Learn Pipelines
  • Regression, Support Vector Machines, Decision Trees, Random Forests, Ensemble Methods
  • Feature Selection
  • Hierarchical and Density based clustering algorithms

Prerequisite: You need to have a basic knowledge about Python programming.

Price: Free

Course Link: Visit the course here

 

Python Machine Learning by Sebastian Raschka (Book)

Taught By: Sebastian Raschka (Michigan State University)

Course Type: Book

Course Level: Beginner to Intermediate

Course Duration: Self-Paced

Course Description: This book has a lot of features as given below:

  • This book is great for Beginner and Intermediate learners.
  • The book is very comprehensive and the coding examples are quite good.
  • Preprocessing is covered quite well and good treatment of maths as well. 

Prerequisite: You need to have a basic knowledge about Python programming.

Price: Rs. 2,547 INR

Course Link: Get this book here