Principal Component AnalysisPrincipal Component Analysis, or PCA, is a dimensionality-reduction method that is often used to reduce the dimensionality of large data…Mar 25, 2021Mar 25, 2021
Naive Bayes ClassifierNaive Bayes Classifier is a classification algorithm that uses the Bayes theorem for classification. It gives very good results when it…Mar 19, 2021Mar 19, 2021
Extra(Extremely Randomized) TreesExtremely Randomized Trees, or Extra Trees for short, is an ensemble machine learning algorithm based on decision trees. The Extra Trees…Mar 13, 2021Mar 13, 2021
Semi-Supervised LearningIn order to understand semi-supervised learning, we should understand supervised and unsupervised learning first.Mar 6, 2021Mar 6, 2021
Apache SparkApache Spark is an open-source parallel processing framework for storing and processing Big Data across clustered computers. Spark can be…Feb 20, 2021Feb 20, 2021
Understanding Neural NetworksNeural Networks is one of the most powerful and widely used algorithms in machine learning. A neural network works similarly to the human…Feb 13, 2021Feb 13, 2021
MapReduceMapReduce is a programming model that allows you to process your data across an entire cluster. It provides access to high-level…Jan 28, 2021Jan 28, 2021
