Introduction to scikit learn
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Introduction to scikit learn

Apply Machine Learning in your projects through scikit-learn

New Course
Course Instructor: Krunal Patel

Course Outcomes

  • Basics of ML concepts
  • Preprocessing data using scikit learn
  • Classifiers in scikit learn
  • Model evaluation using scikit learn
  • Hyperparameter tuning using scikit learn
  • Regression using scikit learn

Course Structure

28 lectures2h 42m total duration

  Introduction 
2min
  Introduction to machine learning 
9min
  Data preprocessing 
18min
  Process_data 
5min
  Process_data_2 
5min
  Quiz 
1min
  Quiz 
1min

About This Course

Scikit-learn is an open source machine learning library that supports supervised and unsupervised learning. Scikit-Learn is characterized by a clean, uniform, and streamlined API. It also provides various tools for model fitting, data preprocessing, model selection and evaluation, and many other built-in machine learning algorithms and models. In this course, I provide a basic introduction to scikit learn and machine learning.

You do not need to have a background in machine learning. However, knowledge of python is required for this course.

By the end of this course, you should be able to apply basic ML models in your application using scikit-learn.

Used by learners at

Microsoft
Amazon
Google

This course is interactive

Interactive courses include hands-on coding exercises to practice as you learn. You practice exercises in a VS Code like IDE without any installation/setup.

Screenshot of codedamn IDE

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Profile picture for Mr J Conlan
May 23, 2023
Sci Kit Learn

Course Instructor

Krunal Patel
Never stop learning.
Krunal Patel
4.8 Instructor rating
33 Ratings
812 Students
2 Courses

I graduated from BITS Pilani Goa Campus in 2015 with B. E. (Hons.) Computer Science and M. Sc. (Hons.) Mathematics. After graduation, I worked with Google from 2015 to 2020 with operations research te...View profile

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