Sparsh Gupta
Data Science Specialist at Larsen & Toubro Infotech
Expertise: Data science, computer vision, natural language processing
Education: Liverpool John Moores University
Sparsh Gupta is a senior data science specialist at L&T Infotech (LTI) with specializations in computer vision and natural language processing. Previously, Gupta was a senior data scientist at o9 Solutions. He has been working as an engineer and data scientist since 2016. Gupta received his master’s degree in machine learning and artificial intelligence from Liverpool John Moores University.
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Logistic regression is a classification algorithm that applies a sigmoid function to a linear model, converting outputs into probabilities. These probabilities are then used to classify data into binary categories.
A loss function in machine learning is a mathematical formula that measures the difference between a model’s predicted output and the actual target value, guiding optimization during training. Here are common loss functions to know and when to use them.
Before analyzing your data and building your model, you must first plot the data set. Anscombe’s quartet shows us why.