What is Data Mining?
Learn about data mining, which combines statistics and artificial intelligence to analyze large data sets to discover useful information.
Supervised Learning and its different types
Supervised learning, is a subcategory of machine learning and artificial intelligence. It is defined by its use of labeled datasets to train algorithms that to classify data or predict outcomes accurately.
Unsupervised learning is a type of machine learning in which models are trained using unlabeled dataset and are allowed to act on that data without any supervision
Understanding Bayes' Theorem
Bayes’ Theorem is perhaps the most important theorem in the field of mathematical statistics and probability theory. For this reason, the theorem finds its use very often in the field of data science.
Data Mining- An Overview
Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information from a data set and transform the information into a comprehensible structure for further use.
Introduction to Classification in Machine Learning
Classification is a process of categorizing a given set of data into classes, It can be performed on both structured or unstructured data.
Introduction to Dimensionality Reduction
Dimensionality reduction is the process of reducing the number of random variables under consideration, by obtaining a set of principal variables.
Clustering Vs Classification
Clustering is an unsupervised machine learning method of identifying and grouping similar data points in larger datasets without concern for the specific outcome whereas classification refers to a predictive modeling problem where a class label is predicted for a given example of input data.
Hypothesis Testing in Data Science
Hypothesis Testing is necessary for almost every sector, it does not limit to Statisticians or Data Scientists. For example, if we develop a code we perform testing too. In the same way, for every product or problem that an organization shows, it has to be solved by providing assumptions.
Introduction to K-Means Clustering
K-means clustering is one of the most common unsupervised learning algorithms in Data Science.