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64.2K+ posts

Wrapper Methods - Feature Selection

Last Updated: 17 June 2025

Feature selection is a key step in the machine learning pipeline. It involves choosing a subset of relevant features (also called variables or predictors) from your datase...read more

Machine Learning

Feature Selection | Filter Methods

Last Updated: 17 June 2025

Feature selection is a important step in the machine learning pipeline. By identifying and retaining only the most relevant features, we can build models that generalize b...read more

Machine Learning

AI-ML-DS With Python

Zero Shot Classification

Last Updated: 29 April 2025

Traditional machine learning models require labeled examples for every class they need to classify. However, in many real-world scenarios, collecting labeled data for ever...read more

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Machine Learning

Machine Learning

Probability Theory in Machine Learning

Last Updated: 08 May 2025

Probability theory is a branch of mathematics dealing with the element of uncertainty. It helps us understand how likely an event is to happen. In machine learning, it pla...read more

School Learning

Machine Learning

Gaussian Kernel

Last Updated: 02 May 2025

In the scope of machine learning, image processing and signal processing, Gaussian Kernel is a basic concept used for leveling, filtering and functional detections. It is ...read more

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Machine Learning

Transformers Parameters

Last Updated: 06 May 2025

The parameters of a transformer model fundamentally shape its power, efficiency, and overall behavior. These parameters define the model's composition, capacity, and learn...read more

Convergence of Random Variables

Last Updated: 29 May 2025

The convergence of random variables is about how a sequence of random results begins to behave when we collect more data. Think about seeing how repeated measurements or e...read more

Last Updated: 01 May 2025

In statistics and machine learning, the log likelihood helps to measure how well a model explains the data. This complex probability simplifies calculations and is widely ...read more

Machine Learning

Convexity Optimization

Last Updated: 06 May 2025

Convexity plays a role in optimization problems by ensuring that any local minimum is also a global minimum, which makes solving these problems much more straightforward, ...read more

Machine Learning

Sampling with or without Replacement

Last Updated: 09 June 2025

Sampling is a technique used to select a subset of data points from a larger dataset or population to make inferences. It can be implemented using two approaches, with rep...read more

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Machine Learning

Ordinal Regression

Last Updated: 14 May 2025

When we deal with data in machine learning, we often try to predict something. Sometimes we want to predict a number (like a price) and sometimes we want to predict a cate...read more

Machine Learning

Sentiment Analysis using LSTM

Last Updated: 05 June 2025

Sentiment Analysis is a popular technique in Natural Language Processing (NLP) used to identify the emotional tone behind a body of text. Whether it’s a movie review, a tw...read more

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Natural-language-processing

Machine Learning

Sentiment Analysis on IMDB Movie Reviews

Last Updated: 12 June 2025

Sentiment Analysis is a Natural Language Processing (NLP) technique used to determine the emotional tone behind text. In this article, we will explore how sentiment analys...read more

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AI-ML-DS With Python

Stock Price Prediction using CNN

Last Updated: 16 June 2025

Stocks represent ownership in a company and entitle holders to a share of profits. Principle of the stock market is one of the most interesting applications for intensive ...read more

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AI-ML-DS With Python

What is Customer Analytics?

Last Updated: 05 June 2025

Customer analytics, also known as customer data analytics, is the systematic process of collecting, analyzing, and interpreting data about customer interactions, behaviors...read more

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