Article Categories
- All Categories
-
Data Structure
-
Networking
-
RDBMS
-
Operating System
-
Java
-
MS Excel
-
iOS
-
HTML
-
CSS
-
Android
-
Python
-
C Programming
-
C++
-
C#
-
MongoDB
-
MySQL
-
Javascript
-
PHP
-
Economics & Finance
Articles on Trending Technologies
Technical articles with clear explanations and examples
Which Evaluation Metrics is Best for Linear Regression
Introduction In machine learning, linear regression is one of the best algorithms used for linear types of data and it returns very accurate predictions the same. Although after training a model with any algorithm it is necessary to check the performance of the algorithm to get an idea about how the model is behaving and what things are needed to improve the model. In this article, we will discuss the various evaluation metrics and the best metric to evaluate the linear regression algorithm. Why Find the Best Evaluation Metrics? There are many evaluation metrics available for regression type of algorithm ...
Read MoreWays to Detect Anomalies in a Given Dataset
Introduction Anomalies are values or data observations that are very different from the other observations in the existing datasets., Detecting and processing the anomalies become essential while building a machine learning model, as the quality of the data that is to be passed to the model should be fair enough to rely on. It is believed that high-quality datasets can give accurate and reliable information and result son even very poor-performing algorithms, and if the quality of the dataset is itself very poor, then there is very less probability of achieving a high-performing model. This article will discuss the outliers, ...
Read MoreModel Validation in Machine Learning
Introduction Model validation is a technique where we try to validate the model that has been built by gathering, preprocessing, and feeding appropriate data to the machine learning algorithms. We can not directly feed the data to the model, train it and deploy it. It is essential to validate the performance or results of a model to check whether a model is performing as per our expectations or not. There are multiple model validation techniques that are used to evaluate and validate the model according to the different types of model and their behaviors. In this article, we will discuss ...
Read MoreMaximum Likelihood in Machine Learning
Introduction Maximum likelihood is an approach commonly used for such density estimation problems, in which a likelihood function is defined to get the probabilities of the distributed data. It is imperative to study and understand the concept of maximum likelihood as it is one of the primary and core concepts essential for learning other advanced machine learning and deep learning techniques and algorithms. In this article, we will discuss the likelihood function, the core idea behind that, and how it works with code examples. This will help one to understand the concept better and apply the same when needed. Let ...
Read MoreHyperparameter Tuning in Machine Learning
Introduction Hyperparameter tuning in machine learning is a technique where we tune or change the default parameters of the existing model or algorithm to achieve higher accuracies and better performance. Sometimes when we use the default parameters of the algorithms, it does not suit the existing data as the data can vary according to the problem statement. In that case, the hyperparameter tuning becomes an essential part of the model building to enhance the model's performance. This article will discuss the algorithm's hyperparameter tuning, advantages, and other related things. This will help one understand the concept of hyperparameter tuning and ...
Read MoreAssumption of Linear Regression - Homoscedasticity
Introduction Linear regression is one of the most used and simplest algorithms in machine learning, which helps predict linear data in almost all kinds of problem statements. Although linear regression is a parametric machine learning algorithm, the algorithm assumes certain assumptions for the data to make predictions faster and easier. Homoscadastocoty is also one of the core assumptions of linear regression, which is assumed to be satisfied while applying linear regression on the respected dataset. In this article, we will discuss the homoscedasticity assumption of linear regression, its core idea, its importance, and some other important stuff related to the ...
Read MoreGolang program to implement binary tree data structure
In the Go, a binary tree is a tree data structure where each node has at most two children, as the left child and the right child. Go's built-in data structures and operations, like structs and pointers, can be used to create a binary tree. The tree's nodes can be visualized as structs with fields for the value kept at each node and pointers to any left or right children. There are three types of tree traversals- preorder, inorder and postorder. We will use two methods to implement the binary tree data structure. In the first method we executed pre-order ...
Read MoreQuery Statistics in MySQL
The important statistics collected for a performed query, including time, temporary tables, indexes, joins, and more, are gathered in the Query Stats SQL editor results tab (see the following two figures). Requirements Enabled query, and collect performance schema statistics. The performance_schema has statement instrumentation enabled. SQL Editor: Query Stats Visual Explain Plan By utilizing the additional data included in the enhanced JSON format, the visual explain feature creates and presents a visual depiction of the MySQL EXPLAIN statement. All EXPLAIN formats, including the standard format, the raw extended JSON, and the visual query plan, are available in ...
Read MorePerformance Report Controls in Mysql Workbench
The controls listed below can be used to examine and export performance report data (see the following figure) − Export − Export all entries from the current performance report, including all queries and values, together with any associated data (including column headings). opens an export file dialogue. Copy Selected − Copies a single entry from the current performance report together with any related data (and column titles). the system's clipboard is saved. a case in point Query Copy − This function copies the SQL statement that produced the performance report. the system clipboard is saved. Refresh − The performance ...
Read MoreHow to Display System Variables of MySQL Server?
The MySQL system variable values are displayed using SHOW VARIABLES. There is no privilege required for this statement. Only the ability to connect to the server is necessary. Syntax SHOW [GLOBAL | SESSION] VARIABLES [LIKE 'pattern' | WHERE expr] A LIKE clause, if present, tells SHOW VARIABLES which variable names to match. To choose rows based on broader criteria, use a WHERE clause. An optional global or session variable scope modification is accepted by SHOW VARIABLES − The statement displays values for global system variables when GLOBAL is used as a modifier. For new connections ...
Read More