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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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Continuous bag of words (CBOW) in NLP
In order to make the computer understand a written text, we can represent the words as numerical vectors. One way to do so is by Using Word embeddings, they are a way of r...
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Picked
NLP
AI-ML-DS
AI-ML-DS With Python
Doc2Vec in NLP
Doc2Vec is also called a Paragraph Vector a popular technique in Natural Language Processing that enables the representation of documents as vectors. This technique was in...
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Machine Learning
NLP
AI-ML-DS
Debugging in TensorFlow
This article discusses the basics of TensorFlow and also dives deep into debugging in TensorFlow in Python. We will see debugging techniques, and debugging tools, and also...
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Python
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Python-Tensorflow
How to Plot Odds Ratio of Prediction of Logistic Model in R?
Logistic regression is a commonly used statistical method for modeling the relationship between a binary response variable and one or more predictor variables. The odds ra...
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R Language
psych Package in R
The "psych" package is an R package that provides various functions for psychological research and data analysis. It contains tools for data visualization, factor analysis...
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R Language
Waiting for page to load in RSelenium in R
In this article, we will discuss how to wait for a page to load in RSelenium. This is a very important functionality that we have to include in our scrapping codes so, tha...
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R Language
How to use Different Algorithms using Caret Package in R
The caret package in R is a powerful tool for performing machine learning tasks, including training and evaluating models, feature selection, and hyperparameter tuning. It...
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R Language
How Linear Mixed Model Works in R
Linear mixed models (LMMs) are statistical models that are used to analyze data with both fixed and random effects. They are particularly useful when analyzing data with h...
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R Language
Create data.frame from nested lapply's
In R, nested `lapply()` functions can be used to create a data frame from a nested list. This approach allows you to apply a function to each element of the nested list an...
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R Language
Data Preprocessing in R
Welcome, adventurous data enthusiasts! Today we celebrate an exciting journey filled with lots of twists, turns, and fun, as we dive into the world of data cleaning and vi...
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R Language
R Data Analysis
Data Analysis
AI-ML-DS
AI-ML-DS With R
How to Implement Adam Gradient Descent from Scratch using Python?
Grade descent is an extensively used optimization algorithm in machine literacy and deep literacy. It's used to minimize the cost or loss function of a model by iterativel...
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Machine Learning
How to Compile Reports from R Scripts to R Markdown
A very power full feature of the R programming language is the package R markdown. This package provides us tools that are used to convert our data analysis into a well-fo...
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R Language
Transfer Learning with Fine-tuning
Transfer learning is a machine learning approach that involves utilizing pre-trained models to address specific tasks. The knowledge acquired from one task is utilized to ...
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Natural-language-processing
Deep Learning
UPSC Optional Subject list 2024
UPSC Optional Subject list: How many optional subjects are in the UPSC examination? Which Is The Best Optional Subject For UPSC? Which subject has the highest success rate...
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UPSC
Tutorials
UPSC Preparation
UPSC 2024
The Difference Between Generative and Discriminative Machine Learning Algorithms
Machine learning algorithms allow computers to learn from data and make predictions or judgments, machine learning algorithms have revolutionized a number of sectors. Gene...
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Machine Learning
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