Python
Definition of Python
Python is a high-level programming language with strong support for data science and machine learning. It has a wide variety of libraries for data analysis, machine learning, and scientific computing.
Python is a high-level programming language with strong support for data science and machine learning. It has a wide variety of libraries for data analysis, machine learning, and scientific computing.
Definition of Optimization Optimization: Optimization is the process of making something as good as possible. In data science, this usually means finding the best way to use the data to achieve a goal. This can involve choosing the right algorithm to use, or finding the right settings for that algorithm.
Definition of Data Scientist Data Scientist: A data scientist is a professional who extracts knowledge and insights from data in order to solve problems. What does a Data Scientist do? A Data Scientist is a professional who specializes in using extensive scientific, mathematical and computer programming knowledge to extract meaningful insights from vast amounts of…
Definition of K-Nearest Neighbors K-Nearest Neighbors (KNN) is a machine learning algorithm used to predict the output value of a target variable by finding the k nearest neighbors of a given input value. The algorithm assigns a weight to each neighbor, then uses a weighted average to predict the output value for the target variable….
Definition of Standard Normal Distribution A normal distribution is a type of distribution that occurs frequently in nature and is symmetrical about its mean. The standard normal distribution is a specific type of normal distribution that has a mean of 0 and a standard deviation of 1.
Definition of Unsupervised Learning Unsupervised Learning: Unsupervised learning is a type of machine learning algorithm that does not rely on feedback from humans to learn how to identify patterns in data. These algorithms are typically used to identify patterns in data that have not been labeled or categorized by humans.