Each class, occurring daily until the December SAT, will adhere to the following format: First 32 minutes: Reading & Writing Next 3 minutes: Brain Break Final 35 minutes: Math This way, your brain will become accustomed to the time limits set by College Board. Something I’ve noticed personally is that oftentimes I’ll know the answer to the last question of the module, but I won’t have enough time to answer it. We will be using my personal questionbank as prep materials and I will gladly answer any questions you may have encountered during your practice.

[More classes will be added to the series soon!] This series will provide a practical introduction to machine learning. Topics include regression (linear & polynomial), regularization, classification, clustering, retrieval, recommender systems, and deep learning, with a focus on an intuitive understanding grounded in real-world applications. Intelligent applications are designed and used to make predictions on large, complex datasets. Prerequisites include a basic understanding of Python syntax and some statistical knowledge. Even if you don't meet these requirements, I will try my best to make it easier to understand. I will provide datasets and practice problems via GitHub, and I expect everyone to attend Office Hours (optional) if they have any questions. Machine learning is a hard course, but focusing on understanding the concepts will make it easier.

[More classes will be added to the series soon!] This series will provide a practical introduction to machine learning. Topics include regression (linear & polynomial), regularization, classification, clustering, retrieval, recommender systems, and deep learning, with a focus on an intuitive understanding grounded in real-world applications. Intelligent applications are designed and used to make predictions on large, complex datasets. Prerequisites include a basic understanding of Python syntax and some statistical knowledge. Even if you don't meet these requirements, I will try my best to make it easier to understand. I will provide datasets and practice problems via GitHub, and I expect everyone to attend Office Hours (optional) if they have any questions. Machine learning is a hard course, but focusing on understanding the concepts will make it easier.

We will be thoroughly covering one unit from Khan Academy every day. I believe that this is the best way to fully master the fundamentals and beyond of Pre-Algebra. I would recommend coming to class with a piece of paper, pencil, and an attitude for learning. Looking forward to helping everyone achieve academic success!