Hi, I’m Saachi! 👋 I am anundergraduate with a passion for tech. I realized that reading about Machine Learning wasn't enough, so I started Code Train Repeat—a series where I document my journey.
🤝 Open Source Collaborations, 🎓 Internships, ☕ Tech Discussions
Jan 5 · 5 min read · The Input: Breaking the Paradigm For years, I programmed by writing rules. If user clicks button -> Then open window. If temperature > 100 -> Then boil water. This is Traditional Programming: I give the computer the Data and the Rules, and it giv...
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Jan 3 · 5 min read · Linear Regression sounds fancy, but it is literally just the equation of a line I learned in 9th grade: $$y = mx + b$$ y (Target): What we want to predict (Price). x (Feature): The input data (Size). m (Slope/Weight): How much the price goes up for...
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Dec 31, 2025 · 5 min read · Scikit-Learn (sklearn) is the industry standard for classical Machine Learning. Whether you are classifying emails as spam or predicting house prices, this library handles the heavy lifting. Today, I’m unpacking the toolkit to understand exactly how ...
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Dec 29, 2025 · 9 min read · Why Stats Aren't Enough I thought .describe() was enough. It gave me the mean, the max, and the median. But then I learned about Anscombe's Quartet. This is a famous dataset where four different groups of data have the exact same statistical properti...
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Dec 26, 2025 · 4 min read · I thought I just had to load a CSV and press "Train." I was wrong. My data was scattered across two different files. It had empty rows. It had text where numbers should be. If I feed this into a model, it will crash. Today is about Data Wrangling: Th...
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