Archives for logistic regression
Logistic regression is a basic classification algorithm. This article discusses the math behind it with practical examples & Python codes.
The post Beginners Guide To Logistic Regression In Python appeared first on Analytics India Magazine.
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.
The post Using Near-Miss Algorithm For Imbalanced Datasets appeared first on Analytics India Magazine.
How do you know what machine learning algorithm to choose for your problem? Why don’t we try all the machine learning algorithms or some of the algorithms which we consider will give good accuracy. If we apply each and every algorithm it will take a lot of time. So, it is better to apply a technique to identify the algorithm that can be used.
Choosing the right algorithm is linked up with the problem statement. It can save both money and time. So, it is important to know what type of problem we are dealing with.
The post How To Choose The Best Machine Learning Algorithm For A Particular Problem? appeared first on Analytics India Magazine.
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.
The post How Does The Data Size Impact Model Accuracy? appeared first on Analytics India Magazine.
Deep learning (DL) models are known for tackling the nonlinearities associated with data, which the traditional estimators such as logistic regression couldn’t. However, there is still a cloud of doubt with regards to the increased use of computationally intensive DL for simple classification tasks. To find out if DL really outperforms shallow models significantly, the…
The post Is Deep Learning Necessary For Simple Classification Tasks appeared first on Analytics India Magazine.