Getting Started with Machine Learning Algorithms
Free Course to Learn Machine Learning Algorithms
This free course will help you learn machine learning algorithms in great depth. You will learn supervised learning algorithms and unsupervised learning algorithms, k-means clustering, PCA, reinforcement learning, and Q-learning. By the end of this course, you will be trained in the skills essential for a skilled machine learning engineer.
(Watch Intro Video)- 6 HoursOf self-paced video lessons
- Completion Certificateawarded on course completion
- 90 Days of AccessTo your Free Course
Skills you will learn
- Linear regression
- Kmeans clustering
- Logistic Regression
- Decision tree
- Random forest
- PCA
- Reinforcement learning
- Q learning
Who should learn
- Machine learning enthusiasts
- Software engineers
- Data scientists
- Data analysts
- Statisticians
What you will learn
Getting Started with Machine Learning Algorithms
Introduction
01:22Introduction ML Algorithm
01:22
Lesson 01: Introduction to Machine Learning
07:08Introduction to Machine Learning
07:08
Lesson 02: Supervised Learning Algorithms- Linear Regression
34:22Supervised Learning Algorithms- Linear Regression
34:22
Lesson 03: Logistic Regression
30:33Logistic Regression
30:33
Lesson 04:Decision Tree
24:45Decision Tree
24:45
Lesson 05: Random Forest
40:11Random Forest
40:11
Lesson 06: Support Vector Machine (SVM)
23:44Support Vector Machine(SVM)
23:44
Lesson 07: K Nearest Neighbors (KNN)
26:31K Nearest Neighbors(KNN)
26:31
Lesson 08: Unsupervised Learning Algorithms- K means Clustering
48:49Unsupervised Learning Algorithms- K means Clustering
48:49
Lesson 09: Principal component analysis (PCA)
30:34Principal component analysis(PCA)
30:34
Lesson 10: Reinforcement Learning
36:57Reinforcement Learning
36:57
Lesson 11: Q Learning
21:38Q Learning
21:38
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Why you should learn
$31 billion by 2024
Worth of Machine Learning jobs globally
$112K
Average salary of a Machine Learning engineer
FAQs
What are the prerequisites to learn machine learning algorithms?
There are no prerequisites to learn machine learning algorithms. However, it is recommended that learners have a basic understanding of statistics, mathematics, and machine learning concepts.
How do beginners get started with machine learning algorithms?
Beginners who want to learn machine learning algorithms can start with the fundamentals first. Once you have mastered the basics you can move on to the advanced topics.
How long does it take to learn machine learning algorithms?
The machine learning algorithms course for beginners consists of 6 hours of video content that will help you gain a thorough understanding.
Are machine learning algorithms easy to learn?
The videos that you find as a part of the machine learning algorithms free course are created by mentors who are industry leaders with vast experience in the field. They are aware of the needs of different learners and have designed the course to be easy to learn.
What are the machine learning algorithms basics covered in this free course?
The machine learning basics covered in the course include:- Supervised learning algorithms like linear regression, logistic regression, decision tree, random forest, SVM, and KNN
- Unsupervised learning algorithms like k-means clustering, PCA, reinforcement learning, and Q-learning
Can I complete this machine learning algorithms course for beginners in 90 days?
Yes, you can complete this machine learning algorithms course for beginners within 90 days.
Learner Review
Ashish Sawant
Assistant Professor , Prof Ram Meghe College of Engineering & Management,I had a great time exploring Machine Learning Algorithms through this course. Thank you, Simplilearn!
- Disclaimer
- PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.