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This repository is dedicated to advancing precision medicine through Python-based bioinformatics analyses. It emphasizes genomic data processing, analysis of genetic variability, and the development of predictive models that tailor healthcare to individual genetic profiles.
The repo holds the code for our final exam project in the course Data Science, Predicting, Forecasting at Cognitive Science, Aarhus University by Klara Fomsgaard and Laura Paaby
Repository for the Data Science and Analytics course materials at Tecnológico de Monterrey. Includes playbooks and analyses for practical data science applications, from fundamentals to predictive models.
This project aims to understand and predict a car's fuel efficiency based on its characteristics. I have built a multiple linear regression model using stats models and scikit-learn.
In this notebook, I have done Data Cleaning, Data Wrangling, EDA and Feature Engineering. After that I trained the dataset using Machine Learning Algorithm Random Forest Regressor.
"oxayavongsa/projects" is a public GitHub repository serving as a diverse AI/ML Project Portfolio. Managed by Outhai Xayavongsa (Ms. Thai), using Python coding and Juptyer notebook.
Developed a Bidirectional LSTM model for predicting next day closing prices with a MAPE of 19% and built a dynamic portfolio optimization algorithm incorporating profit-taking and stop-loss strategies
This project aims to cluster various cryptocurrencies based on their market performance using machine learning techniques. The analysis involves several key steps: normalizing the data, reducing its dimensionality with Principal Component Analysis (PCA), and using K-Means clustering to identify distinct groups.