Hands On Training

Supervised Learning with scikit-learn

Name: Supervised Learning with scikit-learn
Brand: Careervira
Price: 73 USD
Availability: InStock
Rating: 5.0 (3 reviews)

DataCamp

(3)

Course Report

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Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

Machine learning refers to the science of teaching computers and machines how to use data from the past to predict future data. What is the best way to determine if a tumor is benign or not? Which customers will transfer their business to another company. Is this spam mail? This course will show you how to use Python to do machine learning's most important component, supervisedlearning. You'll be able to demonstrate how predictive models can built and tuned using real data. Scikit-learn, one of the most popular machine-learning libraries for Python, is very user-friendly.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Statistical Thinking in Python (Part 1)

What You Will Learn

In this course, you'll learn how to use Python to perform supervised learning, an essential component of machine learning

You'll learn how to build predictive models, tune their parameters, and determine how well they will perform with unseen data—all while using real world datasets

You'll be using scikit-learn, one of the most popular and user-friendly machine learning libraries for Python

Course Content

Expand all sections

Module 1: Classification

Module 2: Regression

Module 3: Fine-tuning your model

Module 4: Preprocessing and pipelines

Course Instructors

Hugo Bowne-Anderson

Data Scientist at DataCamp

Hugo is a data scientist, educator, writer and podcaster at DataCamp. His main interests are promoting data AI literacy, helping to spread data skills through organizations and society and doing amat...

Course Reviews

Average Rating Based on 3 reviews

5.0

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