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Emotions Using NLP Based on Classifying Text
In this article, we will analyse how emotions using NLP can be expressed through tweets and Instagram/ WhatsApp stories.
Alifia Ghantiwala 22 Mar, 2022
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Heart Disease Prediction using Machine learning
We will analyze, predict the result whether the patient has heart disease or normal, i.e. Heart disease prediction using Machine Learning.
VIKRAM 20 Jan, 2025
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Classifying Sexual Harassment using Machine Learning
Classification of Sexual Harassment using Machine Learning will help people who want to make positive impact for the society
Alifia Ghantiwala 22 Mar, 2022
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A Basic Introduction to OpenCV in Deep Learning
With help of OpenCV Python basics in Deep Learning, we deploy vector space and execute mathematical operations on these features.
Pranshu Sharma 12 Mar, 2024
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A Quick Guide to Bivariate Analysis in Python
Bivariate Analysis is a statistical technique applied to a pair of variables of data to determine the empirical relationship between them.
ASHWINI 27 Nov, 2023
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Lambda Functions in Python | Map, Filter, and Reduce
In this article, we will learn about different functions used in Python lambda function which can be used everywhere in different ways.
Raghav Agrawal 22 Mar, 2022
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Introductory Note on Imputation Techniques
In this article, you will understand why it is important to handle your data carefully. We will look into different imputation techniques.
Alifia Ghantiwala 22 Mar, 2022
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Pose Detection Using Computer Vision
we will discuss some of the basic concepts related to Pose Detection using computer vision section of machine learning.
kajal 22 Mar, 2022
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K-Fold Cross Validation Technique and its Essentials
Learn about the importance of K-fold cross-validation technique in machine learning model evaluation and selection. Read Now!
Shanthababu Pandian 07 Apr, 2025
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Linear Regression with Python Implementation
Linear Regression (LR) is simply finding the best fitting line that explains the variability between the dependent and independent features
shilash 14 Oct, 2024
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