Jan 14 · 2 min read · Introduction: Why Everyone Talks About Machine Learning ML is everywhere (Netflix, Google Maps, Instagram, Amazon) You already use ML daily, even if you don’t know it Promise of the blog: “You don’t need to be a math genius to understand ML” Wha...
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Jul 31, 2025 · 16 min read · Before diving deeper into machine learning models, it’s critical to understand the assumptions that linear regression rests upon. These assumptions — linearity, independence, constant variance (homoscedasticity), and normality of residuals — form the...
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Nov 10, 2024 · 23 min read · Congrats for completing regression and classification. I’m so proud of you. In this blog we will learn clustering. Clustering is similar to classification but the basis is different. In clustering we don’t know what we are looking for but we are tryi...
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Oct 7, 2024 · 9 min read · Practical 1:Build a model to classify emails as spam or not spam using a small, labelled dataset Link: https://colab.research.google.com/drive/1jLB6TDtXbHwfnsE1-R9HscxFz8uoRDSJ?usp=sharing import pandas as pd data= { 'email': [ 'Free money!!!!' , '...
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May 26, 2024 · 1 min read · While working with Transformers in a Google Colab environment, I always encounter an ImportError related to the accelerate library. ImportError: Using the Trainer with PyTorch requires accelerate>=0.21.0: Please run pip install transformers[torch] or...
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May 26, 2024 · 2 min read · The Distinction Between Training and Fine-Tuning Models There can sometimes be confusion surrounding the terms "training a model" and "fine-tuning a model". While they may seem interchangeable, they represent distinct stages within the machine learni...
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May 24, 2024 · 1 min read · To effectively fine-tune a model on the GLUE SST2 dataset from Hugging Face, I'll start with an exploratory analysis to gain insights into the data's characteristics. Let's load the dataset Get detailed information about the dataset. How many rows ...
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May 23, 2024 · 2 min read · Coming from an engineering background, my initial understanding of "pipeline" was heavily influenced by a DevOps perspective. However, I've learned that the term takes on a broader meaning in machine learning. In DevOps, pipelines often refer to auto...
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May 23, 2024 · 2 min read · In the last article, we explored NLP tasks and their significance in the growing AI landscape. Now, let's delve into how a machine model performs these tasks. The answer lies in Transformers. Transformers are deep learning models that use mathematica...
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May 21, 2024 · 2 min read · In my previous article What is Natural Language Processing we understand, NLP deals with processing and understanding textual data. Let's find out some of the common NLP task which machines are helping us out. Automatic-speech-recognition (ASR): Con...
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