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👋 Hi, I’m Fahad from TEXAS TECH. -
👀 I’m interested in Optimization / Machine Learning/ Statistics -
🌱 I’m currently learning Machine Learning and Statistics -
💞️ I’m looking to collaborate on Academic Research Projects -
đź“« How to reach me? thru my Email: [email protected]
Machine Learning Techniques using python.
Overview
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
1 Jun 27, 2022
Datetimes for Humans™
Maya: Datetimes for Humans™ Datetimes are very frustrating to work with in Python, especially when dealing with different locales on different systems
3.4k Dec 28, 2022
Python implementation of the rulefit algorithm
RuleFit Implementation of a rule based prediction algorithm based on the rulefit algorithm from Friedman and Popescu (PDF) The algorithm can be used f
326 Jan 02, 2023
A Microsoft Azure Web App project named Covid 19 Predictor using Machine learning Model
A Microsoft Azure Web App project named Covid 19 Predictor using Machine learning Model (Random Forest Classifier Model ) that helps the user to identify whether someone is showing positive Covid sym
2 Oct 06, 2022
Regularization and Feature Selection in Least Squares Temporal Difference Learning
Regularization and Feature Selection in Least Squares Temporal Difference Learning Description This is Python implementations of Least Angle Regressio
0 Jan 18, 2022
The Fuzzy Labs guide to the universe of open source MLOps
Open Source MLOps This is the Fuzzy Labs guide to the universe of free and open source MLOps tools. Contents What is MLOps, anyway? Data version contr
352 Dec 29, 2022
Learn Machine Learning Algorithms by doing projects in Python and R Programming Language
Learn Machine Learning Algorithms by doing projects in Python and R Programming Language. This repo covers all aspect of Machine Learning Algorithms.
6 Oct 20, 2022
Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
Highly interpretable, sklearn-compatible classifier based on decision rules This is a scikit-learn compatible wrapper for the Bayesian Rule List class
482 Nov 19, 2022
Bayesian optimization in JAX
Bayesian optimization in JAX
26 May 11, 2022
Spark development environment for k8s
Local Spark Dev Env with Docker Development environment for k8s. Using the spark-operator image to ensure it will be the same environment. Start conta
18 Jan 04, 2022
A Lucid Framework for Transparent and Interpretable Machine Learning Models.
Currently a Beta-Version lucidmode is an open-source, low-code and lightweight Python framework for transparent and interpretable machine learning mod
15 Aug 12, 2022
Python package for causal inference using Bayesian structural time-series models.
Python Causal Impact Causal inference using Bayesian structural time-series models. This package aims at defining a python equivalent of the R CausalI
219 Dec 11, 2022
Machine Learning e Data Science com Python
Machine Learning e Data Science com Python Arquivos do curso de Data Science e Machine Learning com Python na Udemy, cliqe aqui para acessá-lo. O prin
1 Jan 27, 2022
ml4h is a toolkit for machine learning on clinical data of all kinds including genetics, labs, imaging, clinical notes, and more
ml4h is a toolkit for machine learning on clinical data of all kinds including genetics, labs, imaging, clinical notes, and more
65 Dec 20, 2022
A Software Framework for Neuromorphic Computing
A Software Framework for Neuromorphic Computing
338 Dec 26, 2022
A Python implementation of GRAIL, a generic framework to learn compact time series representations.
GRAIL A Python implementation of GRAIL, a generic framework to learn compact time series representations. Requirements Python 3.6+ numpy scipy tslearn
3 Nov 24, 2021
Python package for stacking (machine learning technique)
vecstack Python package for stacking (stacked generalization) featuring lightweight functional API and fully compatible scikit-learn API Convenient wa
671 Dec 25, 2022
Python factor analysis library (PCA, CA, MCA, MFA, FAMD)
Prince is a library for doing factor analysis. This includes a variety of methods including principal component analysis (PCA) and correspondence anal
915 Dec 31, 2022
Simple, fast, and parallelized symbolic regression in Python/Julia via regularized evolution and simulated annealing
Parallelized symbolic regression built on Julia, and interfaced by Python. Uses regularized evolution, simulated annealing, and gradient-free optimization.
924 Jan 03, 2023
MLBox is a powerful Automated Machine Learning python library.
MLBox is a powerful Automated Machine Learning python library. It provides the following features: Fast reading and distributed data preprocessing/cle
1.4k Jan 06, 2023