Master Generative AI with 10+ Real-world Projects in 2025!
Cross-selling involves selling complementary products to existing customers. Let's understand a data science project on cross-sell prediction
In this article, we will be learning about how to apply k-fold cross-validation to a deep learning image classification model.
In this article, we demonstrate how to use the OneVsRest Classifier for Predicting Multiple Tags of Research Articles in python
In this article, we will discuss the implementation of ResNet-34 architecture using the Pytorch framework in Python and understand it.
fastText is a popular open-source text classification library. In this article, we will learn about text classification using fastText.
We will build a very simple speech to text converter, that takes our voice as input and produces the corresponding text by hearing the input.
In this project, we are going to train the Resnet-18 model for image classification using FastAI.jl from the ImageNet dataset.
In this article we will pick the use case of sequence modelling. We will perform web traffic forecasting with the help of deep learning models
The main goal of this post is to compare the performance of the Pycaret vs Catboost library by solving a binary classification problem.
TF-IDF is used to find the important words and phrases in a larger text. Here, we will build a movie reviews classifier using TF-IDF.
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