🚀 My learning from last week: Linear Regression, trying Cursor, and building Jumpy Brain. My brain was literally jumping everywhere 😂

Hello guys, I am back yet again with another weekly update on what I learned, built, and experimented with last week.

I will be creating a series where, at the start of every new week, by 11:59 PM, Monday IST, I will share my learnings,things I built or experimented with so that I can stay accountable and inspire others to share their learnings. This will help us, as a community, become smarter and more accountable, and we can learn from others' experiences as well.

If you guys haven't read my previous post, you can read it here.

Unlike the week before last, last week wasn't very productive due to my health issues. Also, yesterday, on Sunday, I was supposed to attend a tech meetup in my city hosted by Qualcomm and had planned to share the insights in the form of a blog, but my health didn't support me 😭 Hence, I couldn't attend the meetup.

🚀 Experimented with Cursor AI Start

Last week, I tried the Cursor AI Start program, which was specifically launched for India at ₹649, equivalent to approximately $7 at the time of writing this blog. I will be writing a detailed blog about my experience with it.

📈 What I Learned in Machine Learning

This week, I deep-dived into Linear Regression and learned a few of its core fundamentals, such as how linear regression can help us predict trends based on past data by finding the best-fit line from a scatter plot and how we can find the best-fit line by minimising the residual error as much as possible.

🧠 Building Jumpy Brain, an ADHD Productivity Application

Earlier this year, I vibe-coded a Random Forest algorithm for the recommendations in my ADHD productivity app without understanding the fundamentals of ML algorithms. Later, I realised that building an ML model without having enough data is not a good idea. So, for the time being, I kept a rule-based heuristic.

📚 Resources Which I Used