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Text Classification & Word Representations using FastText (An NLP library by Facebook)
FastText is a very fast NLP library created by Facebook. It is very useful for Word Representations Text Classification. It can create word vectors fast.
NSS 06 Jun, 2023
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Tutorial on Automated Machine Learning using MLBox
Tutorial on how to automate machine learning workflow using MLBox. MLBox provides functionalities like missing values imputation, drifting out of box.
NSS 02 Aug, 2017
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Architecture of Convolutional Neural Networks (CNNs) demystified
Convolutional neural network architecture and cnn image recognition. In this article, learn about convolutional neural networks and cnn to classify images.
Dishashree Gupta 24 May, 2020
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Hands on with Deep Learning – Solution for Age Detection Practice Problem
This article provides a simple deep learning based solution to Age detection problem. This includes use of neural networks & keras to predict age of person
Faizan Shaikh 26 Jul, 2020
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Lasso and Ridge Regression in Python & R Tutorial
Learn the differences between ridge and lasso regression, linear regression basics, gradient descent, R-squared, regularization techniques,.
shubham.jain 20 Dec, 2024
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Which algorithm takes the crown: Light GBM vs XGBOOST?
Explore Light GBM advantages, installation, important parameters, and how it compares to XGBoost. Learn tuning techniques. Read Now!
Pranjal 08 Jan, 2025
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Getting started with Deep Learning using Keras and TensorFlow in R
Get started with deep learning with keras and tensorflow in r. Learn how to install keras with tensorflow in R & build a neural network model on MNIST dataset.
NSS 24 May, 2020
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Transfer Learning Using Pre-trained Models in Deep Learning
Learn about transfer learning, pre-trained models, their benefits, usage, fine-tuning techniques, and projects for identifying digits.
Dishashree Gupta 30 Jan, 2025
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Imbalanced Data : How to handle Imbalanced Classification Problems
Learn how to tackle class imbalance in machine learning. Explore techniques, examples, and methodologies to improve model performance!
Guest Blog 17 Dec, 2024
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How to build Ensemble Models in machine learning? (with code in R)
Ensemble models are used to combine various machine learning models / algorithms to create a better model. This includes boosting, bagging
saurav kaushik 25 Jun, 2019
