Member-only story
Machine learning is the field of data science that gives computers the capability to learn without being explicitly programmed. ML is one of the most exciting and powerful technologies that can solve complex problems and generate insights from data. ML has many applications in various industries and domains, such as marketing, health care, finance, education, etc.
To become a successful data scientist, you need to have a solid foundation of the basic machine learning algorithms that are used for data analysis and modeling. Algorithms are a set of commands or instructions that must be followed for a computer to perform calculations or other problem-solving operations. Algorithms can be classified into different categories based on their function, complexity, design, etc.
In this blog, I will share with you five basic machine learning algorithms that every data science enthusiast should know. These algorithms cover different topics, such as classification, regression, clustering, dimensionality reduction, and neural networks. They also use different tools and frameworks, such as Python, R, SQL, pandas, scikit-learn, TensorFlow, Keras, etc.
These algorithms are not meant to be exhaustive or comprehensive. They are just examples of what you can do with machine learning and how you can learn from them. You…
