×

IBM: Machine Learning with Python: A Practical Introduction

Add to wishlistAdded to wishlistRemoved from wishlist 0
Add to compare+
Rating

4.5 stars

Duration

5 weeks

Pacing

Self-paced

Pricing

Free

Category:

Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends. This Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning.

Add your review

About this course

Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!
This Machine Learning with Python course dives into the basics of machine learning using Python, an approachable and well-known programming language. You’ll learn about supervised vs. unsupervised learning, look into how statistical modeling relates to machine learning, and do a comparison of each.
We’ll explore many popular algorithms including Classification, Regression, Clustering, and Dimensional Reduction and popular models such as Train/Test Split, Root Mean Squared Error (RMSE), and Random Forests. Along the way, you’ll look at real-life examples of machine learning and see how it affects society in ways you may not have guessed!
Most importantly, you will transform your theoretical knowledge into practical skill using hands-on labs. Get ready to do more learning than your machine!
We’ll explore many popular algorithms including Classification, Regression, Clustering, and Dimensional Reduction and popular models such asTrain/Test Split, Root Mean Squared Error and Random Forests.
Mostimportantly, you will transform your theoretical knowledge into practical skill using hands-on labs. Get ready to do more learning than your machine!

At a Glance:
Institution: IBM
Subject: Data Analysis & Statistics
Level: Introductory
Prerequisites:
Recommended: Python Basics for Data Science
Language: English
Video Transcript: English
Associated programs:
Professional Certificate in Python Data Science
Professional Certificate in IBM Data Science
Associated skills:Machine Learning, Random Forest Algorithm, Python (Programming Language), Statistical Modeling, Algorithms, Unsupervised Learning

What You’ll Learn:
About this course

Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!
This Machine Learning with Python course dives into the basics of machine learning using Python, an approachable and well-known programming language. You’ll learn about supervised vs. unsupervised learning, look into how statistical modeling relates to machine learning, and do a comparison of each.
We’ll explore many popular algorithms including Classification, Regression, Clustering, and Dimensional Reduction and popular models such as Train/Test Split, Root Mean Squared Error (RMSE), and Random Forests. Along the way, you’ll look at real-life examples of machine learning and see how it affects society in ways you may not have guessed!
Most importantly, you will transform your theoretical knowledge into practical skill using hands-on labs. Get ready to do more learning than your machine!
We’ll explore many popular algorithms including Classification, Regression, Clustering, and Dimensional Reduction and popular models such asTrain/Test Split, Root Mean Squared Error and Random Forests.
Mostimportantly, you will transform your theoretical knowledge into practical skill using hands-on labs. Get ready to do more learning than your machine!

User Reviews

0.0 out of 5
0
0
0
0
0
Write a review

There are no reviews yet.

Be the first to review “IBM: Machine Learning with Python: A Practical Introduction”

Your email address will not be published. Required fields are marked *

IBM: Machine Learning with Python: A Practical Introduction
IBM: Machine Learning with Python: A Practical Introduction
Edcroma
Logo
Compare items
  • Total (0)
Compare
0
https://login.stikeselisabethmedan.ac.id/produtcs/
https://hakim.pa-bangil.go.id/
https://lowongan.mpi-indonesia.co.id/toto-slot/
https://cctv.sikkakab.go.id/
https://hakim.pa-bangil.go.id/products/
https://penerimaan.uinbanten.ac.id/
https://ssip.undar.ac.id/
https://putusan.pta-jakarta.go.id/
https://tekno88s.com/
https://majalah4dl.com/
https://nana16.shop/
https://thamuz12.shop/
https://dprd.sumbatimurkab.go.id/slot777/
https://dprd.sumbatimurkab.go.id/
https://cctv.sikkakab.go.id/slot-777/
https://hakim.pa-kuningan.go.id/
https://hakim.pa-kuningan.go.id/slot-gacor/
https://thamuz11.shop/
https://thamuz15.shop/
https://thamuz14.shop/
https://ppdb.smtimakassar.sch.id/
https://ppdb.smtimakassar.sch.id/slot-gacor/
slot777
slot dana
majalah4d
slot thailand
slot dana
rtp slot
toto slot
slot toto
toto4d
slot gacor
slot toto
toto slot
toto4d
slot gacor
tekno88
https://lowongan.mpi-indonesia.co.id/
https://thamuz13.shop/
https://www.alpha13.shop/
https://perpustakaan.smkpgri1mejayan.sch.id/
https://perpustakaan.smkpgri1mejayan.sch.id/toto-slot/
https://nana44.shop/
https://sadps.pa-negara.go.id/
https://sadps.pa-negara.go.id/slot-777/
https://peng.pn-baturaja.go.id/
https://portalkan.undar.ac.id/
https://portalkan.undar.ac.id/toto-slot/
https://penerimaan.ieu.ac.id/
https://sid.stikesbcm.ac.id/