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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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An Intuitive Understanding of Word Embeddings: From Count Vectors to Word2Vec
Word embeddings are techniques used in natural language processing. This includes tools & techniques like word2vec, TD-IDF, count vectors, etc. Explore Now!
NSS 07 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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Dimensionality Reduction MCQs: Techniques Skill Test for Data Scientists
40 MCQs questions and answers to test and improve your knowledge of dimensionality reduction techniques covering topics PCA, LDA, t-SNE, etc.
Ankit Gupta 10 Jan, 2025
