Zubair Akhtar

Matrix Addition and Subtraction in Python

Matrix Addition and Subtraction in Python

Matrix Addition and Subtraction in Python programming language is performed like the normal algebraic operations. Before discussing these operations, it is necessary to introduce a bit about Algebra which has been taken from the Arabic word Al-Jabar, afterward, this word turned into Algebra. Algebra is a branch of Mathematics that provides an easy solution to …

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Linear Algebra in TensorFlow

Linear Algebra in TensorFlow (Scalars, Vectors & Matrices)

Linear Algebra in TensorFlow: TensorFlow is open source software under Apache Open Source license for dataflow which is frequently being used for machine learning applications like deep-neural-network to improve the performance of search engines, such as, Google, image captioning, recommendation and translation. For example, when a user types a keyword in Google’s search bar, it …

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types of machine learning

4 Types of Machine Learning (Supervised, Unsupervised, Semi-supervised & Reinforcement)

Machine learning is a subfield of Artificial Intelligence. The concept of machine learning originally started in 1959 by an American Arthur Samuel. He was an expert in the field of computer gaming and intelligent machines. In this post, we are going to discuss the types of machine learning. There are four major types of machine …

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how to do regression in excel

How to do regression in excel? (Simple Linear Regression)

Performing regression analysis in excel is a very easy task. Before going towards practical, we recall the concepts of regression. Let’s describe it briefly. Regression is used for predictive analysis. It is used for finding the strength of predictors and forecasting an effect. Its most common type is linear regression. The linear regression can be …

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Machine-Learning-With-Python-A-Real-Life-Example

Machine Learning With Python – A Real Life Example

In this article we are going to discuss machine learning with python with the help of a real-life example. Before we proceed towards a real-life example, just recap the basic concept of Linear Regression. Usually, Linear Regression is used for predictive analysis. It is a linear approximation of a fundamental relationship between two (one dependent …

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types of databases

What is database? 9 Different Types of Databases with Examples

What is database? A database is a repository, which effectively stores information, and this stored information can be retrieved by utilizing some particular programming language. A database is essentially an archive of information, which is formulated so as to help effective information storing. The database is a methodical gathering of information. Since open library stores …

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K Means Clustering Example in Python

What is Clustering & its Types? K-Means Clustering Example (Python)

Cluster Analysis Cluster is a group of data objects that are similar to one another within the same cluster, whereas, dissimilar to the objects in the other clusters. Cluster analysis is a technique used to classify the data objects into relative groups called clusters. Clustering is an unsupervised learning approach in which there are no …

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logistic regression python example

Logistic Regression (Python) Explained using Practical Example

Logistic Regression is a predictive analysis which is used to explain the data and relationship between one dependent binary variable and one or more nominal, ordinal, interval or ratio-level independent variables. It is mostly used in biological sciences and social science applications. For instance, predict whether received email is spam or not. Similarly, predict whether …

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imple & Multiple Linear Regression [Formula and Examples]

Simple and Multiple Linear Regression in Python

Generally, Linear Regression is used for predictive analysis. It is a linear approximation of a fundamental relationship between two or more variables. Main processes of linear regression Get sample data Design a model that works best for that sample Make prediction for the whole population Main uses of regression analysis Finding the strength of predictors …

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