Machine Learning Algorithms ( Desion Tree, XG Boost, Random Forest ) required packages: numpy,pandas,sklearn,xgboost
Ant Colony On TSP
Genetic Algorithm on TSP
Sample run in jetbrains Pycharm
Blckjack game
Robot in gridworld
Machine Learning Algorithms ( Desion Tree, XG Boost, Random Forest )
Overview
Stats, linear algebra and einops for xarray
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MIT-Machine Learning with Python–From Linear Models to Deep Learning
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As we all know the BGMI Loot Crate comes with so many resources for the gamers, this ML Crate will be the hub of various ML projects which will be the resources for the ML enthusiasts! Open Source Program: SWOC 2021 and JWOC 2022.
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A Pythonic framework for threat modeling
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Learning --> Numpy January 2022 - winter'22
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Can a machine learning project be implemented to estimate the salaries of baseball players whose salary information and career statistics for 1986 are shared?
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CD) in machine learning projectsImplementing continuous integration & delivery (CI/CD) in machine learning projects
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19 Oct 03, 2022
A concept I came up which ditches the idea of "layers" in a neural network.
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database for artificial intelligence/machine learning data
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1 Oct 24, 2021
Lightweight Machine Learning Experiment Logging 📖
Simple logging of statistics, model checkpoints, plots and other objects for your Machine Learning Experiments (MLE). Furthermore, the MLELogger comes with smooth multi-seed result aggregation and co
65 Dec 08, 2022
Repository for DCA0305, an undergraduate course about Machine Learning Workflows and Pipelines
Federal University of Rio Grande do Norte Technology Center Department of Computer Engineering and Automation Machine Learning Based Systems Design Re
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This repo includes some graph-based CTR prediction models and other representative baselines.
Graph-based CTR prediction This is a repository designed for graph-based CTR prediction methods, it includes our graph-based CTR prediction methods: F
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Metric learning algorithms in Python
metric-learn: Metric Learning in Python metric-learn contains efficient Python implementations of several popular supervised and weakly-supervised met
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Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters
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239 Nov 10, 2022
Conducted ANOVA and Logistic regression analysis using matplot library to visualize the result.
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1 Feb 06, 2022
Module is created to build a spam filter using Python and the multinomial Naive Bayes algorithm.
Naive-Bayes Spam Classificator Module is created to build a spam filter using Python and the multinomial Naive Bayes algorithm. Main goal is to code a
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A simple and lightweight genetic algorithm for optimization of any machine learning model
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Python Machine Learning Jupyter Notebooks (ML website)
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Management of exclusive GPU access for distributed machine learning workloads
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