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Introduction to scikit learn

Apply Machine Learning in your projects through scikit-learn

5.0
(2 ratings)
18 enrolled
Course Instructor: Krunal PatelLast updated 05/2023

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

Description

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.

Course Structure

28 lectures2h 42m total duration

  Introduction (Watch video)
2min
  Introduction to machine learning 
9min
  Data preprocessing (Watch video)
18min
  Process_data 
5min
  Process_data_2 
5min
  Quiz 
1min
  Quiz 
1min

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

Krunal Patel
Never stop learning.
Krunal Patel
4.8 Instructor rating
14 Ratings
605 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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