consists

There are 0 repository under consists topic.

• Machine-Learning-with-Scikit-Learn-Python-3.x

  reddyprasade / Machine-Learning-with-Scikit-Learn-Python-3.x

  In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised learning, in which the data comes with additional attributes that we want to predict (Click here to go to the scikit-learn supervised learning page).This problem can be either: classification: samples belong to two or more classes and we want to learn from already labeled data how to predict the class of unlabeled data. An example of a classification problem would be handwritten digit recognition, in which the aim is to assign each input vector to one of a finite number of discrete categories. Another way to think of classification is as a discrete (as opposed to continuous) form of supervised learning where one has a limited number of categories and for each of the n samples provided, one is to try to label them with the correct category or class. regression: if the desired output consists of one or more continuous variables, then the task is called regression. An example of a regression problem would be the prediction of the length of a salmon as a function of its age and weight. unsupervised learning, in which the training data consists of a set of input vectors x without any corresponding target values. The goal in such problems may be to discover groups of similar examples within the data, where it is called clustering, or to determine the distribution of data within the input space, known as density estimation, or to project the data from a high-dimensional space down to two or three dimensions for the purpose of visualization (Click here to go to the Scikit-Learn unsupervised learning page).

  sklearnmachine-learningmachine-learning-algorithmsregressionpython-3pythonunsupervised-learningsupervised-learningscikit-learnclassificationpredictionvectorsemi-supervised-learningreinforcement-learningscikit-imagescikit-learn-pythonscikit-learn-apiscikit-modelconsists
  Language:Jupyter Notebook 52

• AbdallahHemdan / fifteenPuzzleGame

  🎈 My implementation of the classic fifteen-puzzle-game which consists of 4x4 grid with 15 tiles numbered from 1 to 15. Tiles are moved to order the numbers...

  15-puzzle15puzzlegamepuzzlesjsjavescrhtmlcsshemdancmp2022fecufrontendclassic-gamesfifteen-puzzle-gamepuzzlegametilesdemoconsistsonline-gameplay
  Language:JavaScript 20

• fazildgr8 / AppliedDeepLearning

  This repository consists a set of Jupyter Notebooks with a different Deep Learning methods applied. Each notebook gives walkthrough from scratch to the end results visualization hierarchically. The Deep Learning methods include Multiperceptron layers, CNN, GAN, Autoencoders, Sequential and Non-Sequential deep learning models. The fields applied includes Image Classification, Time Series Prediction, Recommendation Systems , Anomaly Detection and Data Analysis.

  autoencoderscnnconsistsganjupyter-notebooks
  Language:Jupyter Notebook 8

• Lakshmipriya-S / Jobathon-Analytics-Vidhya

  Lead generation for credit card

  predictionanalytics-vidhya-competitioncredit-cardjobathonbankroc-auc-scoreleadsfeature-engineeringrevenuefoldconsistsgradient
  Language:Jupyter Notebook 5

• aash-gates / Covid19-Data-Analysis-Project

  Hey There Folks In this project, I l learned how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis. In this project, I worked with the COVID-19 dataset, published by,JOHN HOPKINS UNIVERSITY which consists of the data related to the cumulative number of confirmed cases, per day, in each Country. Also, we have another dataset consist of various life factors, scored by the people living in each country around the globe. I merged these two datasets to see if there is any relationship between the spread of the virus in a country and how happy people are, living in that country.

  countryanalysisdatasetsconsists
  Language:Jupyter Notebook 3
• AV-Jobathon-May-21

  developedbysm / AV-Jobathon-May-21

  credit card lead prediction

  credit-cardroc-auc-scorepredictionbankleadsanalyticsvidhya2021data-sciencedataanalysisfeature-engineeringgradientrevenuefoldconsistsanalytics-vidhya-competition
  Language:Jupyter Notebook 3

• kishanrajput23 / Data-Visualization-for-Machine-Learning

  This repository consists all the data which I extract or find in the covid-19 and titanic datasets.

  consiststitanic-datasetsextractdata-visualizationmachine-learningdatavisualizationcodewarriormlcovid-datacovid-dataset
  Language:Jupyter Notebook 3

• AbhinavUtkarsh / Data-Structures-and-Algorithms

  This Repo consists of all the basic algorithms implemented in C/Python with its complexity analysis and a brief explanation.

  algorithmscomplexity-analysisalgorithms-implementedanalysisconsistscpythondata-structures
  Language:C 2

• himaniaditi330 / Portfolio

  This is a portfolio of a faculty of Indian Institute of Information Technology, Lucknow.

  webpagesjquerycssconsistscss-filesportfolio
  Language:CSS 1

• rishiraj824 / MachineLearningAlgorithms

  A consortium of popular ML algorithms/concepts implemented in Python.

  linear-regressionmachine-learningmachine-learning-algorithmstf-idfgaussian-distributionfashionmnistsvm-classifierperceptronneural-networkconsistsalgorithms-implementedlogistic-regressionknn-classificationresnetpythonk-means-clusteringpca-analysisplaces-almanac
  Language:Jupyter Notebook 1

• amangit1314 / Food-Runner-App

  This is a food application , which consists of favourite restaurants, dishes & previous order bookmarks also.

  androidandroid-librarykotlinglide-librarysqlitedatabasefirebase-authfood-applicationdishesfavorite-restaurantsorder-bookmarksconsists
  Language:Kotlin