logistic regression

Using Near-Miss Algorithm For Imbalanced Datasets

In this article, we will learn about the near-miss algorithm, the different versions of it and implement the different versions on an imbalanced dataset.

How To Choose The Best Machine Learning Algorithm For A Particular Problem?

In this article, we will be discussing the key techniques that can be used to choose the right machine algorithm in a particular work. Through this article, we will discuss how we can decide to use which machine learning model using the plotting of dataset properties.

classification accuracy data size
How Does The Data Size Impact Model Accuracy?

Through this article, we will experiment with a classification model by having datasets of different sizes. We will build a model with less no of data samples and then more no of data samples and then check their accuracy scores.

Is Deep Learning Necessary For Simple Classification Tasks

Deep learning (DL) models are known for tackling the nonlinearities associated with data, which the…

fake news classification
Hands-On Guide to Predict Fake News Using Logistic Regression, SVM and Naive Bayes Methods

In this article, we will train the machine learning classifiers to predict whether given news is real news or fake news. For this task, we will train three popular classification algorithms – Logistics Regression, Support Vector Classifier and the Naive-Bayes to predict the fake news. After evaluating the performance of all three algorithms, we will conclude which among these three is the best in the task.

Understanding Logistic Regression In R With Machinehack’s Predict The Data Scientists Salary In India Hackathon

One of the most popular algorithms used in statistical analysis, Logistic Regression is a great…

10 Algorithms Every Machine Learning Enthusiast Should Know

It is very crucial for the machine learning enthusiasts to know and understands the basic…

Is Machine Learning key to Psychometrics?

Psychometrics, as we all know, is a field of study concerned with the theory and…