machinlearning

There are 2 repositories under machinlearning topic.

• gsurma / image_tagger

  CNN multi-label image classifier 🖼️.

  cnncnn-kerasmulti-label-classificationpythonjupyter-notebooktagskeraspython3instagramimage-classificationimagehashtaghashtagsmachinlearning
  Language:Jupyter Notebook 20

• alternbits / ai-topics

  Hot topics on AI

  aialterndeeplearningmachinlearning
  15

• pepsi7959 / MachineLearning

  linear-regressionmachinlearninggradient-descentsupervised-learningunsupervised-learningneuronal-networknnlogistic-regresionmachine-learning-apimachine-learning-algorithms
  Language:Java 3

• serodriguez68 / deep-learning-cheatsheet

  A summary of the core concepts of deep learning along with some working implementation examples.

  anncnndeep-learningkeraslstmmachinlearningneural-networksrnnsklearn
  Language:Python 3

• sunilghanchi / ghumkkad_ai

  Ghumkkad AI is a sophisticated travel recommendation system comprising three distinct engines for hotels, attractions, and restaurants. It generates trip itinerary with all the details, It empowers users to input their preferences, including destination, hotel features, attraction specifics, and restaurant details.

  aimachine-learningmachinlearningrecommnedationtravel
  Language:Jupyter Notebook 2

• IvanBongiorni / shakespeare-gpt

  How to build a custom GPT for text generation, based on TensorFlow 2.x and Maximal. Trained on the Shakespeare corpus.

  deep-learningdeeplearninggenerative-aigptmachine-learningmachinlearningmaximalnatural-language-generationnatural-language-processingnlgnlppythontensorflowtensorflow2transformertransformer-architecturetransformer-models
  Language:Python 1
• VisionSoC

  sibisiddharth8 / VisionSoC

  VisionSoC - an Image Upscaling Project by Team SquadofCreators. It used ESRGAN as it model and flask to connect to its frontend. It has been Recognized as the runner up in the Paper Presentation event conducted by JCT College of Engineering.

  deepleanringdlesrganflaskflask-applicationganmachinlearningmlpythonsocsquadofcreatorsvisionsoc
  Language:Python 1

• xxiexuezhi / Titanic

  machinlearningdata-analysis
  Language:Jupyter Notebook 1

• yashrajjain726 / Carsify-The-Car-Price-Predictor

  Carsify is an end to end Machine learning deployed site, which uses certain features to predict the price of the car.

  pythonpyhton3flaskflask-applicationmachinlearningend-to-end-projecthtml5css3model
  Language:HTML 1

• AlinaSz / dw_matrix

  Projekt transformacja czyli Matrix

  machine-learningmachinlearningdata-sciencepythondataworkshop
  Language:Jupyter Notebook 0

• jingwangjw / statistical-learning

  Final project for UIUC statistical learning course

  classficationmachinlearningrregressionrmarkdown
  Language:HTML 0

• kuxall / Digital-Advertisement-Classification

  Classify digital ad data from different sources.

  advertiseadvertisementclassificationdatadigitalmachinlearningmatplotlibnumpypandasscikitlearnseabortfidfvectorizer
  Language:Jupyter Notebook 0

• nikpie / dw_matrix

  Projekt transformacja

  machine-learningpythondataworkshopdata-sciencemachinlearning
  Language:Jupyter Notebook 0

• pareeknikhil / Machine-Learning

  This repo contains the implementation of three algorithms Decision Tree, Naive-Bays, and K-Means for three distinct applications

  machinlearningmachine-learning-algorithmsnaive-bayes-classifierkmeans-clusteringdecision-trees
  Language:Python 0

• Pieca / first1002

  Projekt transformacja, czyli matrix - poznaj reguły gry

  machine-learningmachinlearningdata-sciencepythondataworkshop
  Language:Jupyter Notebook 0

• susmithagudapati / Starbucks-Capstone-Challenge

  This project is part of the Udacity Capstone Challenge and the given data set contains simulated data that mimics customer behaviour on the Starbucks rewards mobile app. Once every few days, Starbucks sends out an offer to users of the mobile app. An offer can be merely an advertisement for a drink or an actual offer such as a discount or BOGO (buy one get one free). Some users might not receive any offer during certain weeks. Not all users receive the same offer, and that is the challenge to solve with this data set. The aim of this project is to build a model that predicts whether a customer will respond to an offer.

  machinlearningdata-analysisudacity
  Language:Jupyter Notebook 0

• SyrekGMR / Gradient-Descent-Optimisation

  Code used in my master's dissertation project centring around the evaluation of various novel optimisation methods used in machine learning.

  machinlearningnumerical-optimizationpytorch
  Language:Python 0

• Breakinginfinity / SuperStore-DataTime-Series-Forecasting

  Superstore Time Series Data Analysis and its prediction for next 4 years using ARIMA model.

  machinlearningpythonsupervisedlearningtimesseriesforecatingarimasarimapredictsales
  Language:Python

• Jeeva-Ganesan / kaggle-BNP-Paribas

  Kaggle Competition BNP Pairbas Cardif Claims Management: Rank 133 out of 2,926

  datasciencemachinlearningmodelstacking
  Language:R

• m5k5 / KaggleCAFAChallenge

  Code for the Kaggle Challenge "CAFA 5 Protein Function Prediction"

  aidata-sciencekagglekaggle-competitionmachinlearning
  Language:Jupyter Notebook