Machine Learning Algorithms Every Beginner Should Know

You must have heard about some machine learning algorithms before, but most beginners often get confused about how many machine learning algorithms they need to learn when they see professionals using algorithms (specifically in Kaggle) that they haven’t heard about before. Every machine learning algorithm is important, but as a beginner, you cannot learn all algorithms. So, if you want to know the most important machine learning algorithms for beginners, this article is for you. In this article, I will introduce you to all the important machine learning algorithms every beginner should know.

Machine Learning Algorithms Every Beginner Should Know

Imagine you are attending your first job interview based on machine learning, and the interviewer asks you to explain how you will describe the process of the passive-aggressive algorithm to an eight-year-old kid. As a beginner, you may not have heard about this algorithm before, so if you failed to explain this algorithm, you may not be judged a lot, as this algorithm is not much common among beginners, but if the same question was about the Linear regression algorithm and you failed to explain it, you will be judged negatively.

So there are some very important machine learning algorithms that you need to memorize very well because, during a job interview, an interviewer will always expect you to know such algorithms perfectly.

It also doesn’t mean that you will only learn about the most important ones and forget about the rest of the machine learning algorithms. You need to prepare yourself to answer every kind of question based on the most important machine learning algorithms.

Machine Learning Algorithms for Beginners

Below is the list of machine learning algorithms that every beginner should know:

  1. Binary Classification
    1. Logistic Regression
    2. Bernoulli Naïve Bayes
    3. Decision Tree Classifier
  2. Multiclass Classification
    1. Multinomial Naïve Bayes
    2. K Nearest Neighbors
    3. Random Forest Classifier
  3. Regression
    1. Linear Regression
    2. Random Forest Regression
    3. Decision Tree Regression
    4. Support Vector Regression
  4. Clustering
    1. K-Means Clustering
    2. DBSCAN Clustering
  5. Dimensionality Reduction
    1. Principal Component Analysis
    2. Manifold Learning
    3. t-SNE

After learning these algorithms, you can work on any kind of problem in machine learning. There are more machine learning algorithms that you will require to learn in the future, which you will find easy after learning about these algorithms. You can learn about all machine learning algorithms from here.


So these were all the machine learning algorithms that every beginner should know perfectly. Learning about these algorithms will help you in understanding other machine learning algorithms. So you cannot skip any of these algorithms. If you want to learn the implementation of all machine learning algorithms using Python, you can check out this article. I hope you liked this article on the machine learning algorithms that every beginner should know. Feel free to ask valuable questions in the comments section below.

Aman Kharwal
Aman Kharwal

I'm a writer and data scientist on a mission to educate others about the incredible power of data📈.

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