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Search results for algorithms sklearn
algorithms
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sklearn
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14 search results found
Sklearn Deap
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731
Use evolutionary algorithms instead of gridsearch in scikit-learn
Machine Learning For Beginner By Python3
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225
为机器学习的入门者提供多种基于实例的sklearn、TensorFlow以及自编函数(AnFany)
Boostaroota
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139
A fast xgboost feature selection algorithm
Qlik Py Tools
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132
Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).
Deepsuperlearner
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126
DeepSuperLearner - Python implementation of the deep ensemble algorithm
Libftrl Python
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97
FTRL-Proximal with python bindings
Wittgenstein
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74
Ruleset covering algorithms for transparent machine learning
Fastml
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37
A Python package built on sklearn for running a series of classification Algorithms in a faster and easier way.
Kmeans_elbow
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35
Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'
Sklearn Nature Inspired Algorithms
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27
Nature-inspired algorithms for hyper-parameter tuning of Scikit-Learn models.
Awesome Scikit Learn
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26
A curated list of awesome scikit-learn resources and libraries
Ica
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17
Python implementation of the Iterative Classification Algorithm
Sklearn Hogwild
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15
An implementation of the Hogwild! algorithm for asynchronous SGD that interfaces with sci-kit learn.
Machinelearning
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15
本人在学习机器学习和深度学习中的算法实现和例子(Machine learning algorithm implementation and Demo)
Spamsmsfiltering
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10
Use Navie Bayse, SVM, KNN to filter spam and find out which feature about these algorithm.
Image Segmentation
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10
Image segmentation by KNN Algorithm project Report for subject Digital Image Processing (CS1553). This Project has an analysis of K - Nearest Neighbour Algorithm on MRI scans to segment the tumour.
Ntmaldetect
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9
Open source malware detection program using machine learning algorithms on system call traces.
Machinelearningzerotoall
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9
机器学习算法(python)
Analysis
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8
Repo for practical data science problems approaches, including notebook demo and working scripts | #DS | #analysis
Ai Ml Jupyter Notebooks
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8
A collection of Jupyter notebooks for AI and ML tasks. Explore, learn, and contribute to advance your skills in artificial intelligence and machine learning. #Hacktoberfest friendly!
Text Similarity
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7
Text Similarity using BM25 algorithm and WordNet
Machine Learning Interface
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7
Need not code to compare different models. Drop the .csv file and build the model with amazing UI.
Bace
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7
A deck of Naive Bayes algorithms with sklearn-like API 🃏
Mercy
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7
Functions and code snippets to help save the time!
Adaptive_kernel_methods
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6
Python code for Kernel LMS (KLMS) algorithm with sklearn API. We also implemented neural spike kernels. We also have KLMS and Kernel PCA for neural spike data.
Machine Learning Python Bootcamp
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5
Basic exercises on Machine Learning with Python , Reference Book : Python for Probability, Statistics, and Machine Learning by José Unpingco
Ml Basic Kmeans
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5
This repository is supposed to give a quick overview over basic usage and tuning of KModes algorithm from SKlearn library
Gap
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5
the gap statistics for automatically-finding-K value for K-mean clustering
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1-14 of 14 search results
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