Today, I'm not feeling well, which might be a problem since I'm planning to go to the hostel tomorrow. I'm also thinking about stopping social media until my exams are finished.

Today, I started studying compiler design for the semester exam. Can't say if it's easy or tough yet.

Today, I did some assignments for college, but a lot are still left to do.

Today, everything for the farewell went well. All the work is done. Starting tomorrow, I'll begin studying for our college semester exams, which start next week.

Today, I didn't do much because I got caught up organizing a farewell for our seniors. It's tomorrow, and we did all the work. I'm so tired right now.

Today, I learned about the stages of predictive models. It felt familiar because I explored them in previous courses.

Today, the new course started with some project explanations. I'm excited about this kind of tutorial. Let's see what it offers!.

Today, I started a new course, and it began with math I've already learned. It looks like it will cover ML theory again. I feel like I'm stuck in a loop.

I realized I know enough theory about ML but struggle with the coding part. Feels like I'm stuck in tutorial hell.

Today, I went back to learning about linear regression and gradient descent. The math stuff looked familiar, but the way it was explained got me a bit confused. Thinking about exploring other courses.

Today, after my math course, I started a new playlist by Andrew Ng on AI from YouTube. Things are becoming much clearer now!.

Today, I learned about statistics and probability, which were pretty easy since I already had some understanding from a previous course. Still, I need more practice! 📊 #Statistics #Probability.

Today, I learned about vectors and matrices, and surprisingly, it was easy to understand! Now, I'm diving into statistics. Let's see how it goes! 📊 #Math #Statistics.

Today, I learned about calculus. Surprisingly, it was easy when they showed it on graphs. But, understanding doesn't always mean I can do the math! 📈 #Calculus #Math.

Today, I started a course on the math of machine learning. It began with the fundamentals of algebra, which was quite easy. Now onto calculus! Let's see how it goes.

Today, I learned about the confusion matrix, which was easier than some other topics. Also, starting an EDX course on the math side of machine learning. Time to understand where all these math concepts come from! 🤓.

Today, I learned about logistic regression. I understand the basics, but the math is still a bit tricky for me. Considering checking out some YouTube tutorials to solidify my understanding. 📈#MachineLearning #LogisticRegression.

Just finished reading 'IKIGAI' by Hector Garcia and Francesc Miralles. Loved it! Definitely one of my favorite books now. 📚 #IKIGAI.

Today, I studied how to evaluate ML models, like R2 and adjusted R2. Also, learned about Ridge and Lasso regression. It's tougher than I thought, but I understood the main ideas. Just need more practice with the math!.

Today, I practiced cleaning data, which was pretty easy. I also did some analysis, but had a bit of trouble with the syntax. Definitely need more practice!.