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🏆 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

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 Jan 19, 2022
JavaScript

Ashleshk / Machine-Learning-A-Z-hands-on-Python-And-R-in-data-Science

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Repository For Codes And Concept Taught in Udemy Course

machine-learning natural-language-processing deep-neural-networks reinforcement-learning deep-learning random-forest clustering cnn rnn ann clustering-algorithm supervised-machine-learning unsupervised-machine-learning eclat decison-trees apiori

Updated Jul 2, 2021
Python

SudhakarKuma / Machine_Learning

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A repository of resources for understanding the concepts of machine learning/deep learning.

machine-learning clustering dimensionality-reduction preprocessing imbalanced-data smote boosting f1-score supervised-machine-learning unsupervised-machine-learning bagging knn-classification summer-school iiith seaborn-plots datacamp-projects datacamp-machine-learning critical-concepts

Updated Jul 24, 2021
Jupyter Notebook

theakshaydas / PGP-AIML

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Repo for AIML case studies and projects

python machine-learning natural-language-processing ai computer-vision deep-learning machine-learning-algorithms ml python3 artificial-intelligence supervised-learning recommendation-system ensemble-learning machinelearning recommender-system deeplearning supervised-machine-learning nuralnetwork

Updated Jul 11, 2021
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ExcViral / adaptive-forex-forecast

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An adaptive model for prediction of one day ahead foreign currency exchange rates using machine learning algorithms

machine-learning machine-learning-algorithms trading-bot prediction adaptive-learning predictive-modeling predictive-analytics adaptive-filtering forex-trading forex-prediction supervised-machine-learning forecasting-model

Updated Sep 9, 2018
Python

anishsingh20 / Statistical-Learning-using-R

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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

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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

msultan / SML_CV

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Using supervised machine learning to build collective variables for accelerated sampling

machine-learning openmm supervised-learning enhanced-sampling plumed supervised-machine-learning metadynamics collective-variables accelerated-sampling

Updated Jun 26, 2018
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rileynwong / spotify-analysis

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Data analysis on my monthly playlists

nlp machine-learning natural-language-processing sentiment-analysis text audio-features lyrics text-analysis supervised-learning data-analysis nlp-machine-learning data-scraping supervised-machine-learning spotify-analysis

Updated Jan 15, 2018
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jcsobrino / TFM-Analisis_sentimientos_Twitter-UOC

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TFM - Análisis de sentimientos en Twitter

machine-learning natural-language-processing twitter supervised-machine-learning

Updated Jun 25, 2018
Python

nmacia / dcol

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The data complexity library, DCoL, is a machine learning software that implements all metrics to characterize the apparent complexity of classification problems. The code is implemented in C++ and can be run on multiple platforms.

machine-learning supervised-machine-learning data-complexity

Updated Feb 28, 2020
HTML

juliasilge / caret-ML-course

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Supervised machine learning case studies with caret in R! 🌟 A free interactive course

machine-learning rstats online-course supervised-machine-learning

Updated May 14, 2020
CSS

ahmedhamdi96 / ML4T

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Machine Learning for Trading

data-science machine-learning thesis prediction price stock forecast lstm stock-price-prediction volatility datapoint keras-tensorflow stock-analysis supervised-machine-learning

Updated Jul 25, 2018
Python

rahul1-bot / Chronic-Kidney-Disease-with-Artificial-Neural-Networks

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deep-neural-networks sklearn pytorch python-3 supervised-machine-learning chronic-kidney-disease

Updated Sep 14, 2021
Python

LeihuaYe / Machine-Learning-Rare-Event-Classification

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With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?

machine-learning random-forest linkedin svm machine-learning-algorithms dataset supervised-learning auc logistic-regression decision-trees roc-curve knn supervised-machine-learning supervised-learning-algorithms

Updated Jan 15, 2021

luisgasco / noytext

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A web-based platform for annotating short-text documents to be used in applied text-mining based research.

text-mining environment text-classification annoyance machinelearning annotator annotation-tool acoustics supervised-machine-learning

Updated Jan 28, 2021
R

KwokHing / SentimentAnalysis-Python-Demo

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Submission of an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group. This submission entry explores the performance of both lexicon & machine-learning based models

python machine-learning sentiment-analysis random-forest svm naive-bayes sklearn machine-learning-algorithms cross-validation naive-bayes-classifier supervised-learning data-analysis python-3 decision-trees feature-engineering support-vector-machines vader-sentiment-analysis sentiment-classification supervised-machine-learning lexicon-based

Updated Dec 5, 2019
Jupyter Notebook

TimRivoli / RobotTrader

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This is a supervised Recurrent Neural Network (RNN) learning project treating stock trading as a classification problem. Given input of a 60 day window of pricing data, choose the best action for maximum profit. This uses my earlier https://github.com/TimRivoli/Stock-Price-Trade-Analyzer project for a trading environment, and its SeriesPrediction module for data preparation and model training.

python trading-bot recurrent-neural-networks supervised-learning trading-strategies stock-trading supervised-machine-learning