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Basic Object Oriented Programming (OOPs) Concepts in Python
Explore Object-Oriented Programming (OOP) in Python, its core concepts, and key differences from Procedure-Oriented Programming.
Himanshi Singh 07 Apr, 2025
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25 Open Datasets for Deep Learning Every Data Scientist Must Work With
Looking for datasets for deep learning? Explore our list of openly available datasets that can help you master image processing, speech recognition, and more.
Pranav Dar 01 May, 2025
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Decision Tree Algorithm
Explore the decision tree algorithm and how it simplifies classification and regression tasks in machine learning. Read Now!
Anshul 01 May, 2025
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12 Types of Neural Networks in Deep Learning
Explore the architecture, training, and prediction processes of 12 types of neural networks in deep learning, including CNNs, LSTMs, and RNNs
Aravind Pai 08 May, 2025
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Imbalanced Data : How to handle Imbalanced Classification Problems
Learn how to tackle class imbalance in machine learning. Explore techniques, examples, and methodologies to improve model performance!
Guest Blog 17 Dec, 2024
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Enhance Model Performance through Cross Validation: A Guide in Python and R
Learn why models lose stability & explore various cross validation methods, including k-fold and LOOCV, to measure bias variance effectively.
Sunil Ray 20 Nov, 2024
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Top 4 Pre-Trained Models for Image Classification with Python Code
Implement pre-trained models for image classification (VGG-16, Inception, ResNet50, EfficientNet) with data augmentation and model training.
Purva Huilgol 04 Apr, 2025
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Support Vector Machine (SVM)
Learn the fundamentals of Support Vector Machine (SVM) and its applications in classification and regression. Understand about SVM in machine learning.
Anshul 21 Apr, 2025
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Ultimate Guide to Understand and Implement Natural Language Processing (with codes in Python)
Learn about Natural Language Processing (NLP) and why it matters. Dive into text prep, key tasks, and top Python tools for NLP. Start Reading Now!
Shivam Bansal 07 Apr, 2025
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Convolutional Neural Networks (CNN) in Deep Learning
Learn about Convolutional Neural Networks, artificial neurons, feature extraction, pooling layers, and their limitations in deep learning.
Manav 17 Jun, 2025
