data-science
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Contribution to scikit-learn: A Sample Pull Request by Reshama Shaikh
Contributing to open-source projects is a great way to learn and grow as a programmer. In this tutorial, we will…
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Title: Scikit-learn 88: Introduction to Supervised and Semi-supervised Learning
In this tutorial, we will discuss the concepts of Scikit-learn and its functionalities in supervised and semi-supervised learning. Scikit-learn is…
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Title: Exploring Supervised Learning Techniques in Scikit-learn: Intuition, Brute Force, KD & Ball tree
In this tutorial, we will be discussing the concept of supervised learning in Python using scikit-learn library. Specifically, we will…
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Pytorch vs. Tensorflow: A Comparison #shorts
Pytorch and Tensorflow are two of the most popular deep learning frameworks used by machine learning researchers and practitioners today….
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Utilizing scikit-learn and Non Negative Matrix Factorization (NMF) for Topic Modeling
Topic modeling is a powerful technique used in natural language processing to discover latent topics within text data. In this…
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Scikit-learn 97: Unsupervised Learning Part 5 – Gaussian Mixture Modeling (5/5)
In this final part of our tutorial on Gaussian mixture modeling (GMM) in scikit-learn, we will cover some advanced topics…
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Машинное Обучение: Scikit-learn, TensorFlow, Keras, PyTorch | Сравнение Библиотек
Машинное обучение – это одна из самых важных и перспективных областей в современном мире. Оно позволяет компьютерам обучаться на основе…
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Building Your First Neural Network in Python and Keras: A Step-by-Step Guide
Neural networks are a powerful machine learning technique that can be used to solve a wide variety of complex problems….
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The significance of self-attention in transformer architecture
Self-attention is a crucial component in transformer architecture, playing a key role in enabling the model to efficiently capture long-range…
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A Step-by-Step Guide to Classifying Multivariate Time Series with LSTM using PyTorch, PyTorch Lightning, and Python
In this tutorial, we will walk you through how to perform multivariate time series classification using Long Short-Term Memory (LSTM)…
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