This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. In this course you will realize the importance of good, quality data. You will learn common techniques to retrieve your data, clean it, apply feature engineering, and have it ready for preliminary analysis and hypothesis testing.
Offert par
Réseau de compétences IBMÀ propos de ce cours
152 218 consultations récentes
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Niveau intermédiaire
Approx. 14Â heures pour terminer
Anglais
Sous-titres : Anglais
Compétences que vous acquerrez
- Artificial Intelligence (AI)
- Machine Learning
- Feature Engineering
- Statistical Hypothesis Testing
- Exploratory Data Analysis
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Niveau intermédiaire
Approx. 14Â heures pour terminer
Anglais
Sous-titres : Anglais
Offert par
Réseau de compétences IBM
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
Programme de cours : ce que vous apprendrez dans ce cours
2Â heures pour terminer
A Brief History of Modern AI and its Applications
Artificial Intelligence is not new, but it is new in a sense that it is easier than ever to get started using Machine Learning in business settings. In this module, we will go over a quick introduction to AI and Machine Learning and we will visit a brief history of the modern AI. We will also explore some of the current applications of AI and Machine Learning for you, to think about how you want to leverage them in your day to day business practice or personal projects.
2Â heures pour terminer
10 vidéos (Total 57 min), 2 lectures, 3 quiz
3Â heures pour terminer
Retrieving and Cleaning Data
Good data is the fuel that powers Machine Learning and Artificial Intelligence. In this module, you will learn how to retrieve data from different sources, how to clean it to ensure its quality.
3Â heures pour terminer
7 vidéos (Total 43 min), 3 lectures, 6 quiz
5Â heures pour terminer
Exploratory Data Analysis and Feature Engineering
In this module you will learn how to conduct exploratory analysis to visually confirm it is ready for machine learning modeling by feature engineering and transformations.
5Â heures pour terminer
15 vidéos (Total 104 min), 3 lectures, 7 quiz
3Â heures pour terminer
Inferential Statistics and Hypothesis Testing
Inferential statistics and hypothesis testing are two types of data analysis often overlooked at early stages of analyzing your data. They can give you quick insights about the quality of your data. They also help you confirm business intuition and help you prescribe what to analyze next using Machine Learning. This module looks at useful definitions and simple examples that will help you get started creating hypothesis around your business problem and how to test them.
3Â heures pour terminer
16 vidéos (Total 88 min), 2 lectures, 5 quiz
Avis
- 5 stars71,77Â %
- 4 stars20,09Â %
- 3 stars4,76Â %
- 2 stars2,20Â %
- 1 star1,16Â %
Meilleurs avis pour EXPLORATORY DATA ANALYSIS FOR MACHINE LEARNING
par SG25 juil. 2022
Great course. Just some concepts should be explained slowly and carefully but they are just skimmed through... overall a good course for EDA.
par AK12 août 2021
This is by far the best course I've encountered. It has an in-depth explanation of the codes they provide. Smooth and easy to understand language.
par PZ6 avr. 2021
Very well curated course. Walks through all the topics in detail. Would be better if the professor had a little bit higher voice.
par FF24 janv. 2021
if you really make the exercises and the final assignment the course really contributes you to better understand Data Analysis
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