Applied machine learning coursera materials
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Updated
Feb 27, 2018 - Jupyter Notebook
Applied machine learning coursera materials
Machine Learning-based research for UPMC
Applied artificial intelligence is the implementation of AI tech to solve real world problems. It is a rapidly growing field that is set to shape our future with cutting edge technologies and perhaps even change the world as we know it today!
ISA_I 2024/2025 @ FIIT STU in Bratislava
Metis Data Science Bootcamp : Project Directory
Repository for IBM Machine Learning
Applied Machine Learning in Python
Implementation of various of algorithms such as EM for Topic Modeling, High Dim. Classification, PCA, etc. described in "Applied Machine Learning" by David Forsyth
a structured 3-year Applied AI Bachelor degree path involves covering foundational courses, specialized AI topics, practical applications, and supplementary resources
Summer is the best season in the real estate market and housing prices vary based on a number of features. Data from 2 such Summers is taken about the Kings County Housing Prices. Two Jupyter Notebooks depicting the various Regression models is used to depict how the number of bedrooms, waterfront location, total area in square feet, etc. affect…
Machine Learning and Deep Learning in Bioinformatics - Master's thesis repository
Work has been done on COVID-19 Bangladesh situation .Where Data Analysis, Data Visualization, Supervised Learning and Unsupervised Learning are used.
Conducted data analysis using statistical tools and complex visualizations; trained logistic regression, k-nn, kernelized svm, and random forest models; performed hyperparameter tuning and error analysis. Tech: Python (Seaborn, Matplotlib, Pandas, Scikit-Learn)
Regression analysis on the house price prediction.
A nervous system. It needs some interface and translation.
Let’s make AI count as it should.
Applied Machine Learning Assignment 1 - Supervised Learning
[2021 Fall Research in Applied Machine Learning] Implemented random forest as the main technique to identify factors associated with the presence of each species in different bioclimatic regions.
My Assignments @ Athens University of Economics and Business
This repo has all the files that I used during the studies of ML and DS
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