Data science intern at Analytics Vidhya, specializing in ML, DL, and AI. Dedicated to sharing insights through articles on these subjects. Eager to learn and contribute to the field's advancements. Passionate about leveraging data to solve complex problems and drive innovation.
Learn all about the SELECT function in SQL - the syntax, use case statements, and implementation with a hands-on example.
Explore key differences and similarities between Machine Learning and Neural Networks to understand modern AI systems better.
Navigating model evaluation in data science & medicine: comparing precision, recall, specificity, and sensitivity.
Explore how to build NLP applications with Hugging Face, using models, datasets, and open-source libraries to elevate your ML projects.
Automate blood cell analysis with Mask R-CNN for precise segmentation, revolutionizing medical diagnostics and enhancing patient care.
Explore how to use sequence-to-sequence (Seq2Seq) models as for tasks like language translation featuring encoder-decoder architectures.
Unlock the secrets behind vanishing and exploding gradients in neural networks, unraveling their impact on training dynamics.
Learn about overfitting in ConvNets: causes, consequences, and solutions for optimized neural network training.
Discover how anomaly detection, including Principal Component Analysis (PCA), safeguards industries like banking, cybersecurity and more.
Explore Decision Trees: Split Methods & Hyperparameter Tuning for effective data analysis and model optimization.
