Machine learningEstudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
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25daysinmachinelearningI will update this repository to learn Machine learning with python with statistics content and materials
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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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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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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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Machine Learning From ScratchSuccinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
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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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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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GDLibraryMatlab library for gradient descent algorithms: Version 1.0.1
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DeeplearningDeep Learning From Scratch
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100daysofmlcodeMy journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.
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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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SGDLibraryMATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
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Homemade Machine Learning🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
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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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BrihaspatiCollection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥
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Isl PythonSolutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
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ml经典机器学习算法的极简实现
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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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100 Days Of Ml CodeA day to day plan for this challenge. Covers both theoritical and practical aspects
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MachineLearningImplementations of machine learning algorithm by Python 3
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Tensorflow BookAccompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
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MlkitA simple machine learning framework written in Swift 🤖
Stars: ✭ 144 (-95.95%)
Dat8General Assembly's 2015 Data Science course in Washington, DC
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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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C Plus PlusCollection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
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Gasyori100knockimage processing codes to understand algorithm
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PythonroboticsPython sample codes for robotics algorithms.
Stars: ✭ 13,934 (+291.73%)
BoostarootaA fast xgboost feature selection algorithm
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Data structures and algorithms in python📖 Worked Solutions of "Data Structures & Algorithms in Python", written by Michael T. Goodrich, Roberto Tamassia and Michael H. Goldwasser. ✏️
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AlgorithmictradingThis repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.
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Recsys course at polimiThis is the official repository for the Recommender Systems course at Politecnico di Milano.
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Python-AndrewNgMLPython implementation of Andrew Ng's ML course projects
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machine learning courseArtificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)
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Ipytracer 📊 Algorithm Visualizer for IPython/Jupyter Notebook
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Matlab OctaveThis repository contains algorithms written in MATLAB/Octave. Developing algorithms in the MATLAB environment empowers you to explore and refine ideas, and enables you test and verify your algorithm.
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srqmAn introductory statistics course for social scientists, using Stata
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models-by-exampleBy-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
Stars: ✭ 43 (-98.79%)
cobraA Python package to build predictive linear and logistic regression models focused on performance and interpretation
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taller SparkRTaller SparkR para las Jornadas de Usuarios de R
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KdtreeAbsolute balanced kdtree for fast kNN search.
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perceptronThe simplest Perceptron you'll ever see
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mnist-challengeMy solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
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VBLinLogitVariational Bayes linear and logistic regression
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