Through this article, we will discuss more optimizers and the most commonly used optimizer gradient descent. We will explore how it works and will check its implementation in python.
Through this article, we will explore pipelines in machine learning and will also see how to implement these for a better understanding of all the transformations steps.
Through this article, we will see what exactly is K-fold cross-validation, how it works, and then we will implement it on a data set to check the estimation of accuracy which we can expect on unseen data.
Imblearn techniques help to either upsample the minority class or downsample the majority class to match the equal proportion. Through this article, we will discuss imblearn techniques and how we can use them to do upsampling and downsampling.
In this article, we will learn more about the ROC-AUC curve and how we make use of it to compare different machine learning models to select the best performing model.
In this article, we will talk more about BootStrap Sampling and understand its working. We will first understand how bootstrapping works and then we will implement it on a data set.
In this article, we will be exploring Tkinter – python GUI programming tool. We will explore how we can deploy a machine learning model and check real-time predictions using Tkinter.
Through this article, we will be exploring Dropout and BatchNormalization, and after which layer we should add them.
Through this article, we will explore and understand ways how we can tackle over fitting and build a model on even small datasets.
In this article, we will be discussing how we should detect outliers in the data set and remove them using different ways.
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.
Through this article, we will discuss a new python library Hand Calcs that is used to render different calculation code in Latex that is dependent on the writing of calculations.
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