6 results found Sort:

susanli2016
Machine-Learning-with-Python susanli2016
4.8k
4.3k
unknown
269
Python code for common Machine Learning Algorithms
lda pca svm svr random-forest decision-trees kmeans-clustering linear-regression xgboost-algorithm knn-classification logistic-regression polynomial-regression naive-bayes-classifier hierarchical-clustering
Created 2017-05-26
211 commits to master branch, last one 2 years ago
srafay
Machine_Learning_A-Z srafay
198
382
unlicense
16
Learning to create Machine Learning Algorithms
kernel-svm datascience dataprocessing k-means-clustering k-nearest-neighbors logistic-regression machine-learning-az multiple-regression polynomial-regression naive-bayes-classifier support-vector-machine random-forest-regressor decision-tree-classifier decision-tree-regression random-forest-classifier simple-linear-regression support-vector-regression classification-algorithims machine-learning-algorithms k-means-implementation-in-python
Created 2017-08-22
32 commits to master branch, last one 3 years ago
NishkarshRaj
100DaysofMLCode NishkarshRaj
164
322
mit
13
My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
llm python big-data regression 100daysofcode deep-learning generative-ai hacktoberfest classification linear-algebra 100daysofmlcode neural-networks machine-learning linear-regression regression-models polynomial-regression artificial-intelligence classification-algorithm artificial-neural-networks scikitlearn-machine-learning
Created 2020-01-11
452 commits to master branch, last one 6 months ago
arnaldog12
Machine_Learning arnaldog12
64
219
mit
23
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
knn kmeans python adaboost regression naive-bayes decision-trees neural-network machine-learning feature-selection linear-regression logistic-regression polynomial-regression multilinear-regression redes-neurais-artificiais machine-learning-algorithms linear-discriminant-analysis principal-component-analysis
Created 2017-05-17
69 commits to master branch, last one 2 years ago
agrawal-priyank
machine-learning-regression agrawal-priyank
68
90
unknown
3
Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python
python coursera gradient-descent machine-learning ridge-regression linear-regression multiple-regression polynomial-regression house-price-prediction university-of-washington machine-learning-regression
Created 2017-04-29
41 commits to master branch, last one 6 years ago
elcorto
pwtools elcorto
12
64
bsd-3-clause
9
pwtools is a Python package for pre- and postprocessing of atomistic calculations, mostly targeted to Quantum Espresso, CPMD, CP2K and LAMMPS. It is almost, but not quite, entirely unlike ASE, with so...
ase cp2k cpmd lammps python sqlite preprocessing postprocessing parameter-sweep quantum-espresso kernel-regression molecular-dynamics polynomial-regression radial-basis-function kernel-ridge-regression multivariate-regression quasi-harmonic-approximation radial-distribution-function radial-pair-correlation-function
Created 2016-02-05
1,393 commits to master branch, last one 3 months ago