Apr 6 · 6 min read · The ML Model's Tightrope Walk: Balancing Bias and Variance for Peak Performance Introduction: The Goldilocks Problem of Machine Learning Welcome, aspiring data scientists and ML enthusiasts! Ever wondered why some machine learning models perform bril...
Join discussion
Jul 26, 2025 · 7 min read · In this part of the series, we will dive into one of the most foundational concepts in machine learning — Linear Regression. We'll explore its core ideas and intuitively walk through the mathematics involved. Using only Python and NumPy, we'll implem...
Join discussion
Mar 10, 2025 · 4 min read · At the start of this year, I embarked on my journey to learn AI/ML with the 30 days Kaggle challenge organized by ML Kolkata and in this blog, I will share the lessons learned everyday, share resources, problems faced along with how I solved those. D...
Join discussion
Feb 13, 2025 · 1 min read · So I have not been feeling well, but thankfully I just recovered. I'm just going to give a summary of this. Underfitting: This occurs when the model doesn't fit the training set well. We can also say that there's a high bias thingy going on "Normal...
Join discussion
Dec 29, 2024 · 3 min read · In our previous post we briefed about the Machine Learning development lifecycle and touched upon ML models performance evaluation. In continuation to that, we will see how and why model fit is important aspect of model evaluation. If you recall, we ...
Join discussion
Oct 14, 2024 · 5 min read · Neural networks and deep learning are at the forefront of artificial intelligence (AI) and machine learning (ML), revolutionizing how machines perceive, interpret, and interact with data. This article provides an in-depth look at the fundamental arch...
Join discussionJun 10, 2024 · 6 min read · Have you ever spent days training a deep learning model, only to find out it performs poorly on new data? This is a common frustration for many data scientists and machine learning engineers. Imagine pouring countless hours into fine-tuning your neur...
Join discussion
Jun 1, 2024 · 3 min read · Imagine you're training a dog to fetch a frisbee. You throw it once, twice, a hundred times... eventually, your dog becomes a frisbee-catching champion! But what if you only throw the frisbee in your backyard, never at the park or beach? Your dog mig...
Join discussion
Jan 16, 2024 · 6 min read · Have you ever wondered why some machine learning models excel in theory but fail in real-world applications? Have you faced this challenge before? Don't worry. I really understand. Enter the Bias-Variance Tradeoff, a cornerstone concept in machine le...
Join discussion
Jan 14, 2024 · 2 min read · Introduction Having a proper understanding of Bias and Variance, is the key to achieve accuracy and robustness for your machine learning model. It helps us address the issue of Overfitting and Underfitting The Basic : Why Worry About Overfitting and ...
PSYNPalak and 3 more commented
