Machine learningEstudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
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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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25daysinmachinelearningI will update this repository to learn Machine learning with python with statistics content and materials
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Deep Math Machine Learning.aiA blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
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Ds and ml projectsData Science & Machine Learning projects and tutorials in python from beginner to advanced level.
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100 Days Of Ml CodeA day to day plan for this challenge. Covers both theoritical and practical aspects
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Deeplearning.ai该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。
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Machine Learning With PythonPython code for common Machine Learning Algorithms
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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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The Python WorkshopA New, Interactive Approach to Learning Python
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Machine Learning NotebooksMachine Learning notebooks for refreshing concepts.
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Machine-Learning-ModelsIn This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
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Notebooks Statistics And MachinelearningJupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
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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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SGDLibraryMATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
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Heart disease predictionHeart Disease prediction using 5 algorithms
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MachineLearningImplementations of machine learning algorithm by Python 3
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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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MachineLearningSeriesVídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.
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Python Machine Learning BookThe "Python Machine Learning (1st edition)" book code repository and info resource
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