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GBlog
Frontend Developer Roadmap 2024
Frontend development means to design the face of a website or application. It involves working on the appearance of the website. Building interactive buttons, using images...
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RNN for Sequence Labeling
Recurrent Neural Networks (RNNs) have proven to be highly effective in Natural Language Processing (NLP) tasks, particularly in sequence labeling. Sequence labeling involv...
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Picked
Machine Learning
Natural-language-processing
Data Science
Unet++ Architecture Explained
U-Net++ or Nested U-Net is a deep learning architecture that was introduced in 2019 in the "UNet++. In UNet, the encoder part captures high-level features from the input i...
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Tensorflow
Machine Learning
Deep-Learning
Python-Tensorflow
Scrape a popup using python and selenium
Web scraping is the process of extracting data from websites. It involves programmatically accessing web pages, parsing the HTML or XML content, and extracting the desire...
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Python
Picked
Alzheimer's detection Using Machine Learning
Alzheimer's disease is a neurodegenerative disorder characterized by progressive cognitive decline and memory loss. Detecting Alzheimer's disease early is crucial for time...
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Machine Learning
Machine Learning Projects
AI-ML-DS
AI-ML-DS With Python
Intent Recognition using TensorFlow
Intent recognition is a method of natural language processing, which deals with determining intent of a given sentence, or in simple terms "what the sentence means". It is...
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Python
Picked
Tensorflow
Python-Tensorflow
How to Train Tensorflow Models in Python
TensorFlow is a popular open-source machine learning framework that allows you to build, train, and deploy deep learning models. It provides a wide range of tools and func...
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Python
Picked
Tensorflow
Python-Tensorflow
Restricted Boltzmann Machine Features for Digit Classification in Scikit Learn
Restricted Boltzmann Machine (RBM) is a type of artificial neural network that is used for unsupervised learning and generative modeling. They follow the rules of energy m...
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Python
Picked
Machine Learning
Deep-Learning
Single Estimator Versus Bagging: Bias-Variance Decomposition in Scikit Learn
You can use the Bias-Variance decomposition to assess how well one estimator performs in comparison to the Bagging ensemble approach. We may examine the average predicted ...
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Python
Picked
Time Series Forecasting using Recurrent Neural Networks (RNN) in TensorFlow
Time Series Data: Each data point in a time series is linked to a timestamp, which shows the exact time when the data was observed or recorded. Many fields, including fina...
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Picked
AI-ML-DS
AI-ML-DS With Python
Probability Calibration of Classifiers in Scikit Learn
In this article, we will explore the concepts and techniques related to the probability calibration of classifiers in the context of machine learning. Classifiers in machi...
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Python
Picked
Markov Chains in NLP
Markov chain is a mathematical model that is utilized to simulate random processes occurring over a duration of time. It consists of a set of states and the transitions be...
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Picked
Machine Learning
Natural-language-processing
NLP
AI-ML-DS
Subword Tokenization in NLP
Subword Tokenization is a Natural Language Processing technique(NLP) in which a word is split into subwords and these subwords are known as tokens. This technique is used ...
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Picked
Machine Learning
NLP
AI-ML-DS
RBF SVM Parameters in Scikit Learn
Scikit Learn is a popular machine-learning library in Python, and it provides a powerful implementation of Support Vector Machines (SVMs) with the Radial Basis Function (R...
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Python
Picked
Named Entity Recognition in NLP
In this article, we'll dive into the various concepts related to NER, explain the steps involved in the process, and understand it with some good examples. Named Entity Re...
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Picked
Machine Learning
Natural-language-processing
NLP
AI-ML-DS
Implement Convolutional Autoencoder in PyTorch with CUDA
Autoencoders are a type of neural network architecture used for unsupervised learning tasks such as data compression, dimensionality reduction, and data denoising. The arc...
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Python
Picked
Machine Learning
Deep-Learning
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