Author Archives: Rohit Dwivedi
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.
The post Gradient Descent – Everything You Need To Know With Implementation In Python appeared first on Analytics India Magazine.
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.
The post Everything About Pipelines In Machine Learning and How Are They Used? appeared first on Analytics India Magazine.
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.
The post Hands-On Implementation of K-Fold Cross-Validation and LOOCV in Machine Learning appeared first on Analytics India Magazine.
What is Imblearn Technique – Everything To Know For Class Imbalance Issues In Machine Learning
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.
The post What is Imblearn Technique – Everything To Know For Class Imbalance Issues In Machine Learning appeared first on Analytics India Magazine.
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.
The post ROC-AUC Curve For Comprehensive Analysis Of Machine Learning Models appeared first on Analytics India Magazine.
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.
The post Hands-On Guide To BootStrap Sampling For ML Performance Evaluation appeared first on Analytics India Magazine.
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.
The post Hands-On Guide To BootStrap Sampling For ML Performance Evaluation appeared first on Analytics India Magazine.
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.
The post Hands-On Guide To BootStrap Sampling For ML Performance Evaluation appeared first on Analytics India Magazine.
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.
The post Complete Tutorial on Tkinter To Deploy Machine Learning Model appeared first on Analytics India Magazine.
Through this article, we will be exploring Dropout and BatchNormalization, and after which layer we should add them.
The post Everything You Should Know About Dropouts And BatchNormalization In CNN appeared first on Analytics India Magazine.