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Explore image classification model using python and keras, problem statements, learn to set up data & build models using transfer learning.
Image classification and recognition has evolved and is being used at a number of places. Lets see how to build an image classification App.
Enhance your Data Science skills with ML evaluation metrics. From rand index to calinski-harabasz Index and mutual info for accuracy.
In this article, let us deep dive into the most common evaluation metrics for classification models that all data scientists should know
Comprehensive guide to the most popular feature selection techniques used in machine learning, covering filter, wrapper, and embedded methods
A complete guide to checking account churning in the BFSI domain. Discover the factors should be taken when building a Churn prediction model
Logistic Regression is a model used in statistics to estimate the probability of an event. This is an introduction to logistic regression.
Fastai is a popular open-source library used for learning and practicing machine learning and deep learning by data scientists
Explore class imbalance in machine learning with class weights in logistic regression. Learn implementation tips to boost model performance!
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