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Introduction Regression Analysis is the most basic form of predictive analysis. In Statistics, linear regression is the approach of modeling the relationship between a scalar value and one or more explanatory variables. In Machine learning, Linear Regression is a supervised algorithm. Such an algorithm predicts a target value based on independent variables. More About Linear Regression and Regression Analysis In Linear Regression / Analysis the target is a real or continuous value like salary, BMI, etc. It is generally used to predict the relationship between a dependent and a bunch of independent variables. These models generally fit a linear equation, ... Read More
In this tutorial, we are going to implement regression analysis and the best-fitting line using Python programming Introduction Regression Analysis is the most basic form of predictive analysis. In Statistics, linear regression is the approach of modeling the relationship between a scalar value and one or more explanatory variables. In Machine learning, Linear Regression is a supervised algorithm. Such an algorithm predicts a target value based on independent variables. More About Linear Regression and Regression Analysis In Linear Regression / Analysis the target is a real or continuous value like salary, BMI, etc. It is generally used to predict the ... Read More
Introduction One of the most common tasks involved in Deep Learning based on Image data is Image Classification. Image classification has become more interesting in the research field due to the development of new and high-performing machine learning frameworks. Such classification can either be binary where two classes of images are present or multiclass classification which deals with more than two image classes. Here, in this article, we are going to explore transfer learning with multiclass image classification. Multiclass Image Classification With the advancement in artificial Neural networks and the development of Convolutional Neural Networks complex operations on images have ... Read More
In this tutorial, we are going to learn about how to split a Dataset into a Train set and a Test set using Python Programming Introduction While creating Machine Learning and Deep Learning Models we may come across scenarios where we may want to do both training and well as evaluation on the same dataset. In such cases, we may want to divide our dataset into different groups or sets and use each set for one task or specific process (e.g. training). In such situations, we may make use of training/test sets. Need for Train and Test sets It is ... Read More
In this tutorial, we are going to learn about how to handle imbalanced classes in ML. Introduction Generally speaking, class imbalance in Machine Learning is a case where classes of one type or observation are higher as compared to the other type. It is a common problem in Machine learning involving tasks such as fraud detection, ad click averts, spam detection, consumer churn, etc. It has a high effect on the accuracy of the model. Effects of Class Imbalance In case of such problems, the majority class overpowers the minority class while training the model. Since in such cases, one ... Read More
In this Tutorial we will learn how to create simulated data from classification in Python. Introduction Simulated data can be defined as any data not representing the real phenomenon but which is generated synthetically using parameters and constraints. When and why do we need simulated data? Sometimes while prototyping a particular algorithm in Machine Learning or Deep Learning we generally face a scarcity of good real-world data which can be useful to us. Sometimes there is no such data available for a given task. In such scenarios, we may need synthetically generated data. This data can also be from Lab ... Read More
In this article, we are going to learn about how to create Models in Keras Introduction Keras is an open-source library in Python which provides APIs for building Artificial Neural Network Models with great flexibility. Modelling in Keras can be done either using the Functional API or the Keras Sequential Model. Keras module is also available under the popular Tensorflow Library. Latest version and installation The latest version of keras as of writing this article is 2.1.0. Keras can be installed from PyPI repository using pip. Advantages of Keras for Modelling Keras is used for fast implementation due to ... Read More
This article let us see some of the common challenges Machine Learning Engineers face today. Introduction Today when Machine Learning has become the cutting-edge technology in every domain or industry, the number of Machine Learning folks has considerably grown and so is the challenge to implement an Artificial Intelligence project from start to finish, from drafting the concept to bringing the concept to production. The path of a Machine Learning Engineer is not easy as he /she faces numerous challenges along this path. Collection of Good Quality Data Yes, this is true. We cannot deny the fact that today data ... Read More
The PMP (Project Management Professional) is an internationally accredited professional certification widely accepted in the project management industry. Those who pass the exam can reportedly earn a salary of up to $400, 000 per year. Let us dig deep into what kind of job and salary one can expect with the PMP certification. What is the PMP® Certification? The PMP® certification is a globally recognized standard for project management. The PMP certification is offered by Project Management Institute (PMI). To be eligible for the PMP®, you must first pass an exam. Once you have passed the exam, you will be ... Read More
It is important to know how your company will perform in the future and to ensure you are doing everything possible to make that happen. This article discusses how the best management practices can help build a successful company. What is a management practice portfolio? A management practice portfolio is a collection of evidence that supports the effectiveness of a particular management practice. The purpose of a management practice portfolio is to help managers justify their use of specific management practices and to provide information that can be used to improve the effectiveness of those practices. A good management practice ... Read More