one-hot-encode

There are 1 repository under one-hot-encode topic.

aditya9211 / SVHN-CNN
Google Street View House Number(SVHN) Dataset, and classifying them through CNN
adam-optimizer cnn computer-vision confusion-matrix convolutional-neural-network convolutional-neural-networks dropout google-street grayscale-images house-numbers machine-learning mini-batch-gradient-descent mnist one-hot-encode svhn svhn-classifier tensorboard-visualizations tesnorflow
Language:Jupyter Notebook 62
mdkearns / automated-data-preprocessing
A command-line utility program for automating the trivial, frequently occurring data preparation tasks: missing value interpolation, outlier removal, and encoding categorical variables.
data-preprocessing data-processing automation python pandas argparse data-science data-engineering machine-learning interpolation imputation outlier-detection outlier-removal one-hot-encode command-line-tool
Language:Python 31
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
python python27 catboost gradient-boosting-classifier gradient-boosting pearson-correlation variance-analysis feature-selection one-hot-encode seaborn yandex-catboost data-preprocessing visualization pandas data-analysis data-science
Language:Jupyter Notebook 30
timeamagyar / kdd-cup-99-python
Analysis and preprocessing of the kdd cup 99 dataset using python and scikit-learn
kdd99 python sklearn matplotlib smote cluster-centroids resampling-methods principal-component-analysis linear-separability convex-hull one-hot-encode standardization normalization
Language:Jupyter Notebook 21
dimgold / Artificial_Curiosity
Adaptive Reinforcement Learning of curious AI basketball agents
reinforcement-learning data-science artificial-intelligence neural-networks bayesian-inference bayesian-network svm-classifier random-forest feature-selection curiosity nba basketball adaptive-learning pandas seaborn genetic-algorithm information-gain simulation sgd one-hot-encode
Language:Jupyter Notebook 18
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.
sentiment-classification text-generation lstm neural-networks nlp-machine-learning deep-learning keras machine-learning-algorithms deep-neural-networks deep-learning-algorithms character-generator one-hot-encode word-level-lstm cnn-text-classification nlp hands-dirty classification keras-api rnn cnn-keras
Language:Python 13
madhavkhoslaa / Pytorch-U-Net-Segmentation
Semantic Segmentation Using U-Net Architecture
pytorch machine-learning computer-vision deep-learning convolutional-neural-networks image-segmentation one-hot-encode interesting
Language:Jupyter Notebook 12
scruel / campusQA
Deeplearning4J框架搭建的第一个问答小AI
deeplearning deeplearning4j nlp one-hot-encode
Language:Java 12
gyunggyung / Keras-Applications
Keras 응용(CNN, RNN, GAN, DNN, ETC...) 사용법 예시
cnn rnn vgg16 data-visualization gan deep-learning gpu keras-gpu word-embeddings one-hot-encode lstm sequence emoji generator music-generation trigger-word-detection bidirectional-rnn covnets vae text-generation
9
vishank94 / Movie-Recommendation-System
Movie Recommendation System
baseline-model collaborative-filtering content-based-recommendation cross-validation data-wrangling decision-trees exploratory-data-analysis feature-engineering linear-regression machine-learning one-hot-encode pagerank python recommendation-system
Language:Jupyter Notebook 6
pemagrg1 / one-hot-encoding
one hot encoding using numpy, sklearn, and keras. Created Date: 7 Jan 2019
numpy one-hot-encode onehoten sklearn-encoding text-to-vectors
Language:Python 5
petermchale / predict_customer_response
Machine-learning models to predict whether customers respond to a marketing campaign
pandas data-cleaning one-hot-encode missing-values imputation feature-scaling receiver-operating-characteristic neural-network support-vector-machine decision-tree dummy-variable multicollinearity
Language:Jupyter Notebook 5
IshtyM / Prediction-of-Shows-and-No-Shows-in-HealthCare-Industry
To predict whether booked appointment will be completed or it will be no show.
healthcare show ml label-encoder one-hot-encode power-transform logistic-regression xgboost-algorithm random-forest decision-trees classification
Language:Python 4
SaeidRostami / Customer_Churn
Customer churn analysis for a telecommunication company
machine-learning data-science data-analysis classification supervised-learning python matplotlib seaborn decision-tree logistic-regression svm-classifier random-forest grid-search ensemble-machine-learning upsampling unbalanced-data feature-importance one-hot-encode
Language:Jupyter Notebook 4
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.
one-hot-encode h2oai categorical-features categorical-variables feature-importance
Language:Jupyter Notebook 2
avinashsai / Character-level-CNN
Implementation of Character level CNN
convolutional-neural-networks one-hot-encode neural-networks
Language:Python 2
ocramz / record-encode
Generic encoding of record types
data-science one-hot-encode categorical-data categorical-features data-mining data-analysis generic-programming preprocessing machine-learning
Language:Haskell 2
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.
python3 pandas matplotlib data-manipulation sklearn one-hot-encode linear-regression decision-tree-regressor random-forest-regressor support-vector-regressor
Language:Jupyter Notebook 2
junaidfiaz143 / Recurrent-NeuralNetwork
This is the code for "Recurrent NeuralNetwork using keras and numpy" By M.Junaid Fiaz
python3 machine-learning deep-learning recurrent-neural-networks keras numpy one-hot-encode jupyrt-notebook word-embeddings
Language:Jupyter Notebook 1
ltfschoen / aind2-cnn
mlp tensorflow training testing validation image-recognition one-hot-encode deep-neural-networks keras multi-layer-perceptron multi-layer-architecture model-architecture loss-functions optimiser classification convolutional-neural-networks image-augmentation global-average-pooling
Language:Jupyter Notebook 1
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.
categorical-data feature-engineering kaggle-competition machine-learning numpy one-hot-encode pandas xgboost
Language:Jupyter Notebook 1
RazHoshia / unofficial_encoders
Unofficial but extremely useful Label and One Hot encoders.
machine-learning encoder label-encoding label-encoder one-hot-encoding one-hot-encode sklearn sklearn-compatible
Language:Python 1
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.
tensorflow mnist-classification mnist-model cross-entropy-loss gradient-descent adam-optimizer tensorflow-saver interactive-sessions sklearn one-hot-encode deep-neural-networks
Language:Jupyter Notebook 1
shreyasbhatia09 / Google-Analytics-Customer-Revenue-Prediction
Kaggle Challenge
xgboost lightgbm imbalanced-learning classification predictive-modeling stratified-sampling one-hot-encode kaggle-competition customer-revenue-prediction
Language:Jupyter Notebook 1
KetanThakare / Ames-house-price-predictor
A Machine Learning project to predict house prices on Ames Housing Data
machine-learning feature-selection prediction-algorithm prediction-model python sci-kit ames-housing regression-models one-hot-encode
Language:Jupyter Notebook 0
luizhemelo / SR_TrabalhoPratico02
Trabalho Prático 02 da disciplina de Sistemas de Recomendação.
dataset feature-engineering one-hot-encode recommender-system tf-idf
Language:Jupyter Notebook 0
tebateman / Titanic-Sink-or-Swim
Using random forest to predict Titanic passenger survival.
titanic-kaggle random-forest machine-learning one-hot-encode kaggle python-3 data-cleaning data-science
Language:Jupyter Notebook 0
arynas / kind_of_embeddings
Different types of word embedding for text processing
text-mining wordembeddings deep-learning pre-trained word2vec one-hot-encode
Language:Python
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
machine-learning joblib pickle one-hot-encode sklearn
Language:Jupyter Notebook
ltfschoen / aind2-dl
AIND Jupyter Notebook to predict student admissions using Keras Neural Networks
keras-neural-networks pandas-dataframes matplotlib-figures scatter-plot multi-layer-perceptron one-hot-encode normalize data-cleaning splitting training-set-generator stochastic-gradient-descent loss-functions error-functions categorical-cross-entropy cross-entropy sigmoid
Language:Jupyter Notebook
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.
agglomerative-clustering classification clustering crisp-dm data-preprocessing data-visualization dendogram k-means-clustering one-hot-encode pca principal-component-analysis z-score cross-validation
Language:Jupyter Notebook

one-hot-encode

aditya9211 / SVHN-CNN

mdkearns / automated-data-preprocessing

KwokHing / YandexCatBoost-Python-Demo

timeamagyar / kdd-cup-99-python

dimgold / Artificial_Curiosity

Abhishekmamidi123 / NLP

madhavkhoslaa / Pytorch-U-Net-Segmentation

scruel / campusQA

gyunggyung / Keras-Applications

vishank94 / Movie-Recommendation-System

pemagrg1 / one-hot-encoding

petermchale / predict_customer_response

IshtyM / Prediction-of-Shows-and-No-Shows-in-HealthCare-Industry

SaeidRostami / Customer_Churn

abhmalik / categorical-feature-importances-without-one-hot-encoding-dummies

avinashsai / Character-level-CNN

ocramz / record-encode

sruti-jain / Predicting-House-Prices---Regression

junaidfiaz143 / Recurrent-NeuralNetwork

ltfschoen / aind2-cnn

north0n-FI / House-Prices-Advanced-Regression-Techniques

RazHoshia / unofficial_encoders

rnk20 / Neural-Networks

shreyasbhatia09 / Google-Analytics-Customer-Revenue-Prediction

KetanThakare / Ames-house-price-predictor

luizhemelo / SR_TrabalhoPratico02

tebateman / Titanic-Sink-or-Swim

arynas / kind_of_embeddings

LintangWisesa / ML_Sklearn_DummyVar_OneHotEncoder

ltfschoen / aind2-dl

maryamteimouri / DataAnalysis-and-KnowledgeDiscovery