In this virtual experience program, you will gain enviable insight into what it’s like to solve meaningful challenges with our diverse and forward-thinking team at BCG GAMMA, part of BCG X.
The project addresses energy inefficiency in data center cooling systems by developing a temperature-aware predictive model that optimizes chiller scheduling to reduce energy consumption while maintaining thermal safety
Colab notebooks implementing key machine learning algorithms from the **Udemy course: Machine Learning A-Z™: AI, Python & R + ChatGPT Bonus [2023]**, covering regression, classification, clustering, deep learning, and more using Python.
In this study, a dataset of row mRNA-seq counts obtained from Type 2 Diabetes (T2D) patients was analyzed using various statistical and machine learning methods: among these, LDA was chosen as the best performing, and therefore used to obtain a list of significant genes.
This repository contains the code and analysis for an Artificial Intelligence course project (LM-66 Cybersecurity and Cloud Platforms) focused on evaluating machine learning models for diabetes classification.
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