Data Science

Regression Metrics

Model Evaluation is important in data science projects. It especially helps to identify the performance of your model. With the […]

ENSEMBLE LEARNING: Ensemble learning: Bagging And Boosting – kind of approach in machine learning That can train multiple models/predictors. Using

We have already covered Collaborative based filtering used in the recommender systems. In any case, the scenario is as follows:

What Is Keras: Overview Keras is used specially for building neural network models. It is written in Python and is

While working in the field of Deep Learning we always require a library or framework that reshapes and reimagines things.

Classification Metrics : We will learn and understand metrics for classification tasks. There are two possible output classes, In binary

Lasso Regression Lasso Regression is an example of regularization method. Here, we will only talk about lasso regression. As I

Human beings have a marvellous tendency to duplicate or replicate nature. For example:- We saw birds flying in the sky