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greyhatguy007 / Machine-Learning-Specialization-Coursera

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Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

python machine-learning deep-learning neural-network solutions mooc tensorflow linear-regression coursera recommendation-system logistic-regression decision-trees unsupervised-learning andrew-ng supervised-machine-learning unsupervised-machine-learning coursera-assignment coursera-specialization andrew-ng-machine-learning
  • Updated Apr 19, 2024
  • Jupyter Notebook

sharmapratik88 / AIML-Projects

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Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

nlp data-science machine-learning statistics computer-vision random-forest data-visualization recommendation-system logistic-regression support-vector-machines decision-tree-classifier gradient-boosting-classifier knearest-neighbor-algorithm oversampling supervised-machine-learning unsupervised-machine-learning catboost ensemble-machine-learning machinelearningprojects datascienceproject
  • Updated Aug 23, 2021
  • Jupyter Notebook

shantanu1109 / Coursera-DeepLearning.AI-Stanford-University-Machine-Learning-Specialization

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This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig.

reinforcement-learning tensorflow linear-regression xgboost artificial-neural-networks logistic-regression recommender-system regularization gradient-descent tree-ensemble kmeans-clustering anomaly-detection supervised-machine-learning unsupervised-machine-learning multiple-linear-regression
  • Updated Jan 25, 2023
  • Jupyter Notebook

lucylow / Deep-Learning-Mahjong---

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Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states

nlp markov-model mahjong reinforcement-learning computer-vision reactjs tensorflow game-development markov-chain supervised-learning game-theory deep-q-network reinforcement softmax supervised-machine-learning npc-generator deep-neural-network deep-learning-mahjong battle-mahjong game-play
  • Updated Aug 24, 2022
  • JavaScript

OSSpk / Handwritten-Digits-Classification-Using-KNN-Multiclass_Perceptron-SVM

Star 59

🏆 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.

svm machine-learning-algorithms mnist-dataset logistic-regression support-vector-machines knn artificial-neural-network handwritten-digit-recognition k-nearest-neighbours supervised-machine-learning support-vector-classifier perceptron-learning-algorithm sigmoid-function delta-rule mnist-classification-logistic comparative-study multiclass-perceptron learning-algorithms-comparison accuracy-analysis efficiency-analysis
  • Updated Jan 17, 2021
  • Python

anishsingh20 / Statistical-Learning-using-R

Star 30

This 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.

r machine-learning-algorithms statistical-learning datascience data-analysis logistic-regression regularization decision-trees predictive-modeling polynomial-regression clustering-algorithm svm-classifier k-nn boosting generalized-additive-models supervised-machine-learning bagging depth-interpretation discriminant-anlaysis
  • Updated Apr 7, 2018
  • R

MauroCE / PythonBRMLtoolbox

Star 24

Python 3.7 version of David Barber's MATLAB BRMLtoolbox

machine-learning statistics matlab bayesian-network bayesian-methods model-selection supervised-learning bayesian graphical-models bayesian-inference bayesian-networks bayesian-optimization bayesian-data-analysis bayesian-statistics bayesian-analysis bayesian-neural-networks markov-networks supervised-machine-learning supervised-learning-algorithms statistics-toolbox
  • Updated Aug 18, 2018
  • Python

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