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4. Machine learning regression. Train a machine learning model to predict continuous values. For instance, use Regression to forecast secondary school student performance or estimate daily business visitors. Dataset: archive.ics.uci.edu/dataset/320/st…
*** The Misclassification Dilemma: Data Difficulty vs. Model Tuning *** You are facing a classic machine learning trilemma: Is the failure to classify two points due to the inherent difficulty of the data or sub-optimal model tuning? I. The Core Problem: Three Causes * Data…
Client wants me to solve leetcode ( not really ): Another day another client to take to fund my ML shananigans. And it feels like a leetcode problem that I priced a bit too low, because it felt like simple greedy algo, when negotating with a company. If I had a penny each time…
Just did first training run of the project, and it's not going great, lmao Went from 23% to 15% on HumanEval...
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Teaching Machines to Spot Human Errors in Math Assignments edsurge.com/news/2025-12-1…
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Assignment had 3 tasks: 1. Employee Attrition Prediction 2. ML Pipeline debugging and Data Leakage detection 3. Productivity Feature Engineering and Optimization If anyone wants to give it a try, I will share the problem statements, feel free to reach out!
Tasks for the day: 1. Complete interview assignment (deadline: 3PM) 2. Study DSA; learn and implement tries, also get the code reviewed by the pod 3. Locally set up dashboard and backend of a website 4. Make changes, add features in the lift simulation project & get it reviewed
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8. Machine Learning Terminology and Process This course teaches basic machine learning concepts and the data process. We explain each step in detail and common terms in an ML project. Link: classcentral.com/course/machine…
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6. Machine Learning Terminology and Process This course teaches basic machine learning concepts and data processing steps. We explain each step in detail and cover common terms and techniques in a machine learning project. Link: classcentral.com/course/machine…
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Have a database of X tasks, each task with Y samples, where each sample is made in a similar style. Show N samples for each task to an LLM, where 1<=N<Y and ask the LLM to do a new task. Measure accuracy the higher X is, and smaller N is.
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This tutorial by Angela Shi offers a practical approach to understanding machine learning without a complex coding environment. towardsdatascience.com/the-machine-le…
try suffixing any request with "Before giving me your output, ask me 5 questions one by one in order to gather context. Prioritize the highest priority question each time you ask one in order to gather the context you need to give a high quality output." Reasoning: - bad context…
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