Machine learning basicsPlain python implementations of basic machine learning algorithms
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Mutual labels: machine-learning-algorithms, kmeans
Machine Learning Workflow With PythonThis is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation
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Awesome Quantum Machine LearningHere you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
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Mutual labels: machine-learning-algorithms, kmeans
Handwritten-Digits-Classification-Using-KNN-Multiclass Perceptron-SVM🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.
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Mutual labels: machine-learning-algorithms, knn
Statistical-Learning-using-RThis is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.
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Mutual labels: machine-learning-algorithms, clustering-algorithm
spectral-clustering.matlabAn intuitive implementation of spectral clustering on matlab
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HdbscanA high performance implementation of HDBSCAN clustering.
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cyoptics-clusteringFast OPTICS clustering in Cython + gradient cluster extraction
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Mutual labels: clustering-algorithm, dbscan-clustering
clustering-pythonDifferent clustering approaches applied on different problemsets
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Mutual labels: kmeans, clustering-algorithm
Machine learningEstudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
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online-course-recommendation-systemBuilt on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.
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kmeans-dbscan-tutorialA clustering tutorial with scikit-learn for beginners.
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ml经典机器学习算法的极简实现
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genieclustGenie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R
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Mutual labels: machine-learning-algorithms, clustering-algorithm
Clustering-in-PythonClustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.
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Mutual labels: clustering-algorithm, dbscan-clustering
MlkitA simple machine learning framework written in Swift 🤖
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Machine Learning ModelsDecision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means
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ml-simulationsAnimated Visualizations of Popular Machine Learning Algorithms
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MachineLearningImplementations of machine learning algorithm by Python 3
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Innovative-Book-ResourcesThis repository contains books from different topics and perfect enough to give developers a boost in understanding the concepts of Data Science and Artificial Intelligence(other topics are also included but main highlights are these two).
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