Ecosyste.ms: Repos
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GitHub topics: one-hot-encode
luizhemelo/SR_TrabalhoPratico02
Trabalho Prático 02 da disciplina de Sistemas de Recomendação.
Language: Jupyter Notebook - Size: 15.8 MB - Last synced: 9 days ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0
madhavkhoslaa/Pytorch-U-Net-Segmentation
Semantic Segmentation Using U-Net Architecture
Language: Jupyter Notebook - Size: 296 KB - Last synced: 16 days ago - Pushed: 16 days ago - Stars: 12 - Forks: 4
maryamteimouri/DataAnalysis-and-KnowledgeDiscovery
This project aims to practice the steps of Crisp Data Mining ( CRISP-DM ). The repository includes 3 phases, data understanding, supervised learning, and unsupervised learning.
Language: Jupyter Notebook - Size: 481 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0
gyunggyung/Keras-Applications
Keras 응용(CNN, RNN, GAN, DNN, ETC...) 사용법 예시
Size: 348 MB - Last synced: 8 months ago - Pushed: about 3 years ago - Stars: 9 - Forks: 7
north0n-FI/House-Prices-Advanced-Regression-Techniques
This is my contribution to a competition on kaggle.com, where you have a dataset with 79 explanatory variables describing (almost) every aspect of c. 1500 residential homes in Ames, Iowa. The aim is to predict the final price of each home.
Language: Jupyter Notebook - Size: 1.04 MB - Last synced: 8 months ago - Pushed: almost 6 years ago - Stars: 1 - Forks: 1
RazHoshia/unofficial_encoders
Unofficial but extremely useful Label and One Hot encoders.
Language: Python - Size: 80.1 KB - Last synced: 9 months ago - Pushed: about 3 years ago - Stars: 1 - Forks: 0
IshtyM/Prediction-of-Shows-and-No-Shows-in-HealthCare-Industry
To predict whether booked appointment will be completed or it will be no show.
Language: Python - Size: 72.3 KB - Last synced: 10 months ago - Pushed: over 2 years ago - Stars: 4 - Forks: 1
KwokHing/YandexCatBoost-Python-Demo
Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data exploration, cleaning, preprocessing and model tuning are performed on the dataset
Language: Jupyter Notebook - Size: 743 KB - Last synced: 10 months ago - Pushed: over 4 years ago - Stars: 29 - Forks: 17
ltfschoen/aind2-cnn
Language: Jupyter Notebook - Size: 50.2 MB - Last synced: 10 months ago - Pushed: almost 7 years ago - Stars: 0 - Forks: 0
ltfschoen/aind2-dl
AIND Jupyter Notebook to predict student admissions using Keras Neural Networks
Language: Jupyter Notebook - Size: 138 KB - Last synced: 10 months ago - Pushed: almost 7 years ago - Stars: 0 - Forks: 0
timeamagyar/kdd-cup-99-python
Analysis and preprocessing of the kdd cup 99 dataset using python and scikit-learn
Language: Jupyter Notebook - Size: 852 KB - Last synced: 10 months ago - Pushed: about 4 years ago - Stars: 21 - Forks: 12
junaidfiaz143/Recurrent-NeuralNetwork
This is the code for "Recurrent NeuralNetwork using keras and numpy" By M.Junaid Fiaz
Language: Jupyter Notebook - Size: 12.8 MB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 1 - Forks: 0
scruel/campusQA 📦
Deeplearning4J框架搭建的第一个问答小AI
Language: Java - Size: 1.62 MB - Last synced: about 1 year ago - Pushed: over 6 years ago - Stars: 13 - Forks: 11
aditya9211/SVHN-CNN
Google Street View House Number(SVHN) Dataset, and classifying them through CNN
Language: Jupyter Notebook - Size: 1.02 MB - Last synced: over 1 year ago - Pushed: over 6 years ago - Stars: 58 - Forks: 34
petermchale/predict_customer_response
Machine-learning models to predict whether customers respond to a marketing campaign
Language: Jupyter Notebook - Size: 1.28 MB - Last synced: about 1 year ago - Pushed: about 6 years ago - Stars: 5 - Forks: 3
Abhishekmamidi123/NLP
This repository contains Sentiment Classification, Word Level Text Generation, Character Level Text Generation and other important codes/notes on NLP. Python and Keras are used for implementation.
Language: Python - Size: 16.3 MB - Last synced: over 1 year ago - Pushed: about 6 years ago - Stars: 13 - Forks: 5
dimgold/Artificial_Curiosity
Adaptive Reinforcement Learning of curious AI basketball agents
Language: Jupyter Notebook - Size: 14.2 MB - Last synced: over 1 year ago - Pushed: over 6 years ago - Stars: 14 - Forks: 6
avinashsai/Character-level-CNN
Implementation of Character level CNN
Language: Python - Size: 478 KB - Last synced: over 1 year ago - Pushed: about 5 years ago - Stars: 2 - Forks: 1
abhmalik/categorical-feature-importances-without-one-hot-encoding-dummies
Feature Importance of categorical variables by converting them into dummy variables (One-hot-encoding) can skewed or hard to interpret results. Here I present a method to get around this problem using H2O.
Language: Jupyter Notebook - Size: 108 KB - Last synced: over 1 year ago - Pushed: almost 5 years ago - Stars: 1 - Forks: 0
sruti-jain/Predicting-House-Prices---Regression
Determining the housing prices of California properties for new sellers and also for buyers to estimate the profitability of the deal.
Language: Jupyter Notebook - Size: 2.27 MB - Last synced: about 1 year ago - Pushed: almost 7 years ago - Stars: 2 - Forks: 4
rnk20/Neural-Networks
Deep Neural Networks like Single Layer Perceptron and Multi Layer Perceptron implementation using Tensorflow library on Datasets like MNIST and Naval Mine for categorical Classification. Saving and Restoring Tensorflow "Variables" weights for testing.
Language: Jupyter Notebook - Size: 602 KB - Last synced: over 1 year ago - Pushed: almost 6 years ago - Stars: 1 - Forks: 0
pemagrg1/one-hot-encoding
one hot encoding using numpy, sklearn, and keras. Created Date: 7 Jan 2019
Language: Python - Size: 8.79 KB - Last synced: about 1 year ago - Pushed: almost 4 years ago - Stars: 5 - Forks: 1
ocramz/record-encode
Generic encoding of record types
Language: Haskell - Size: 39.1 KB - Last synced: about 1 month ago - Pushed: over 5 years ago - Stars: 2 - Forks: 1
LintangWisesa/ML_Sklearn_DummyVar_OneHotEncoder
Basic ML using Sklearn to save/load a model, split training & test dataset, create dummy variables and one hot encoder
Language: Jupyter Notebook - Size: 8.79 KB - Last synced: over 1 year ago - Pushed: over 4 years ago - Stars: 0 - Forks: 0
shreyasbhatia09/Google-Analytics-Customer-Revenue-Prediction
Kaggle Challenge
Language: Jupyter Notebook - Size: 449 KB - Last synced: over 1 year ago - Pushed: over 5 years ago - Stars: 1 - Forks: 0