Author Archives: Jayita Bhattacharyya - Page 7
In this article, I’ll be discussing how to create an image dataset as well as label it using python. For creating an image dataset, we need to acquire images by web scraping or better to say image scraping and then label using Labeling software to generate annotations.
The post How To Create An Image Dataset and Labelling By Web Scraping? appeared first on Analytics India Magazine.
In this article, I’ll be discussing how to create an image dataset as well as label it using python. For creating an image dataset, we need to acquire images by web scraping or better to say image scraping and then label using Labeling software to generate annotations.
The post How To Create An Image Dataset and Labelling By Web Scraping? appeared first on Analytics India Magazine.
Imbalanced datasets. In this article, I’ll be discussing the way to achieve balanced datasets using various techniques, as well as compare them.
The post Handling Imbalanced Datasets: A Guide With Hands-on Implementation appeared first on Analytics India Magazine.
In this article, I’ll be discussing the aspects of using AutoFeat, steps involved and its implementation with a real-world dataset. AutoFeat is a python library that provides automated feature engineering and feature selection along with models such as AutoFeatRegressor and AutoFeatClassifier.
The post Guide To Automatic Feature Engineering Using AutoFeat appeared first on Analytics India Magazine.
In this article, I’ll be discussing the aspects of using AutoFeat, steps involved and its implementation with a real-world dataset. AutoFeat is a python library that provides automated feature engineering and feature selection along with models such as AutoFeatRegressor and AutoFeatClassifier.
The post Guide To Automatic Feature Engineering Using AutoFeat appeared first on Analytics India Magazine.
While building machine learning models we are not sure which algorithm should work well with the given dataset, hence we end up trying many models and keep iterating until we get proper accuracy. Have you ever thought about getting all the basic algorithms at once to predict for model performance? LazyPredict is a module helpful…
The post Generating Suitable ML Models Using LazyPredict Python Tool appeared first on Analytics India Magazine.
This article covers all the aspects of face recognition based attendance systems. It discusses the challenges faced in face recognition, the face recognition library and building the attendance marking system based on these techniques.
The post A Complete Guide On Building A Face Attendance System appeared first on Analytics India Magazine.
This article covers all the aspects of face recognition based attendance systems. It discusses the challenges faced in face recognition, the face recognition library and building the attendance marking system based on these techniques.
The post A Complete Guide On Building A Face Attendance System appeared first on Analytics India Magazine.
Hands-On Tutorial On Machine Learning Pipelines With Scikit-Learn .In this article, I’ll be discussing how to implement a machine learning pipeline using scikit-learn.
The post Hands-On Tutorial On Machine Learning Pipelines With Scikit-Learn appeared first on Analytics India Magazine.
Dealing with categorical features is a common thing to preprocess before building machine learning models.There are a variety of techniques to handle categorical data which I will be discussing in this article with their advantages and disadvantages.
The post Complete Guide To Handling Categorical Data Using Scikit-Learn appeared first on Analytics India Magazine.