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Top questions to test a data scientist's expertise in Natural Language Processing (NLP). Ideal for interviews and skill assessments! Read Now!
Master Linear Regression with 30 essential questions on models, coefficients, and intercepts to ace your next Data Science interview!
Learn the differences between ridge and lasso regression, linear regression basics, gradient descent, R-squared, regularization techniques,.
An introduction to generative adversarial networks and generative models. Beginners guide to understand how GANs work in computer vision.
Explore Light GBM advantages, installation, important parameters, and how it compares to XGBoost. Learn tuning techniques. Read Now!
Word embeddings are techniques used in natural language processing. This includes tools & techniques like word2vec, TD-IDF, count vectors, etc. Explore Now!
This article helps us understand working of machine learning algorithms using LIME package. Using LIME, you can understand working of black box ML models.
This analytics industry report highlights trends and salaries in Indian industry. Insights like salary by skills, location, experience & background
A comprehensive guide explaining linear algebra, matrices, their use to solve linear equations and their application in data science & data scientists
25 terms to explain the basics of neural networks, deep learning, Convolutional Neural Network, Recurrent Neural network & gradient descent in data science
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