onehot-encoding

There are 0 repository under onehot-encoding topic.

yanganYNU / AFFGCN
Attention Feature Fusion base on spatial-temporal Graph Convolutional Network（AFFGCN）
attention-mechanism feature-fusion-network gcn multimodal-deep-learning onehot-encoding spatiotemporal-data-analysis timeseries-forecasting traffic-flow-prediction
Language:Python 31
alexloser / xsvt
Small tools for csv file processing (onehot encoding, format checking and converting to libsvm).
csv libsvm onehot onehot-encoder onehot-encoding machine-learning c cpp format
Language:C 4
charumakhijani / fake-and-real-news-detection
news-dataset kaggle-dataset fake-real-news-dataset nlp stemming lemmatization word-embeddings countvectorizer tf-idf-vectorizer onehot-encoding onehot-encoder sequence-padding glove-embeddings lstm gru gru-model lstm-model neural-networks reducelearningrate early-stopping
Language:Jupyter Notebook 3
erdogant / df2onehot
Convert a unstructured array into a stuctured dataframe.
python structuring preprocessing onehot-encoding
Language:Python 3
encoding-techniques
pritomsh / encoding-techniques
Encoding: converting categorical data into a numerical data
datalabeling dataprocessing machine-learning python labelencoder onehot-encoding ordinal-encoding
Language:Jupyter Notebook 3
raynardj / category
Category transformation
data-science onehot-encoding categorical-data categorical-features
Language:Python 3
shivasaib / UsedCarPricePrediction
A model for predicting the selling price of a used car using machine learning algorithms. This model is deployed in the Heroku Cloud Platform.
heroku onehot-encoding randomforestregressor regression-models
Language:Jupyter Notebook 3
tanvirnwu / Feature-Engineering--Python
categorical-features ordinary-feature feature-engineering feature-selection one-hot-encoding onehot-encoder onehot-encoding onehotencoder frequency-enconding
Language:Jupyter Notebook 3
Bhevendra / Deep-Learning---ANN-1
Deep Learning -Artificial Neural Network
artificial-neural-networks binaryencoding deep-learning keras-tensorflow onehot-encoding pandas sklearn
Language:Jupyter Notebook 2
IDB-FOR-DATASCIENCE / Predicting-fit-of-a-candidate-for-a-job-using-tree-based-models
We use multiple Tree boosting models and compare their performance to calculate the fit percentage of a candidate for the job they apply for. Also try to handle categorical methods using various methods.
catboost hyperopt lightgbm onehot-encoding targetencoding xgboost
Language:Jupyter Notebook 2
Kheem-Dh / Word2Vec-Algorithm-From-Scratch
Skip-Gram Model From Scratch
cosine-similarity natural-language-processing neural-network onehot-encoding skipgram vocabulary word2vec-algorithm wordembeddings
Language:Jupyter Notebook 2
marileano / Forest-Cover-Type
In this project we predict the forest cover type using the cartographic variables in the training/test datasets.
kaggle-dataset machine-learning sklearn optuna eda feature-engineering onehot-encoding hyperparameter-tuning
Language:Jupyter Notebook 2
MrAnayDongre / Semantic-Segmentation-using-U-Net
Implementing Semantic Segmentation on Satellite images using U-Net architecture
aerial-imagery onehot-encoding semantic-segmentation tensorflow u-net
Language:Python 2
norhanreda / Arabic-Text-Diacritization
Diacritics are short vowels with a constant length that are spoken. The same word in the Arabic language can have different meanings and different pronunciations based on how it is diacritized. In this project, we implement a pipeline to predict the diacritic of each character in an Arabic text using Natural Language Processing techniques.
lstm neural-network nlp arabic-text-diacritization arabert embedings onehot-encoding word2vec
Language:Jupyter Notebook 2
oguzkeremyildiz / NeuralNetworks
Deep Learning library.
neural-networks neural-network backpropagation feedforward-neural-network deep-learning library yapay-sinir-aglari machine-learning makine-ogrenmesi yapay-zeka java recurrent-neural-networks word2vec rnn ann lstm lstm-neural-networks onehot-encoding
Language:Java 2
tejasp12 / Retail--Big-Mart_Sales_Analysis
Value to Business :: Using this Regression model, the decision-makers will able to understand the properties of various products and stores which play an important and key role in optimizing the Marketing efforts and results in increased sales.
data-analysis feature-engineering feature-selection onehot-encoding onehot-encoder labelencoder linear-regression linear-models multiple-linear-regression mean-square-error numpy pandas sklearn matplotlib
Language:Jupyter Notebook 2
Vishnu-Kota / H-M-recommendation-system
A recommendation system created for H&M created with the help of EDA(Exploratory Data Analysis) and ALS (Alternative Least Squares) which optimizes a users recommendations taking into considerations an account`s view history and uses matrix optimization to give the best possible recommendations.
als artificial-intelligence artificial-neural-networks boxplot eda labelencoding machine-learning matplotlib neural-networks onehot-encoding pandas python sckiit-learn sckit-learn seaborn tensorflow
Language:Jupyter Notebook 2
whwbj / IBM-HR-employee-Attrition-Prediction-Study
This project focus on building different machine learning models to make predictions on employee attrition and performance
python3 machine-learning pandas deep-learning xgboost data-science data-analysis onehot-encoding correlation confusion-matrix
Language:Jupyter Notebook 2
ZL63388 / data-preparation-codes
This repository is a collection of basic code templates for Data Preparation. All codes I am sharing are from the practical exercises I did from the Data Science Infinity Program.
pandas simpleimputer knn-imputer onehot-encoding outlier-detection feature-scaling feature-selection
Language:Python 2
chethanhn29 / NLP_Projects
This is the Repository for different Natural language Processing(NLP) projects using Hugging face,Gensim, NLTK,Spacy and other Libraries
anomaly-detection attention-is-all-you-need bag-of-words bilstm countvectorizer lemmatization lstm-neural-networks ngrams onehot-encoding rnn stemming text-classification text-to-speech transfer-learning transformers word2vec
Language:Jupyter Notebook 1
Davidelvis / BankClientTermDeposit_Prediction
Bank Institution Term Deposit Predictive Model
exploratory-data-analysis machine-learning pca imbalanced-learning onehot-encoding robust-scaling logistic-regression xgboost-classifier multilayer-perceptron-network random-forest
Language:Jupyter Notebook 1
devil-cyber / Handling-Categorical-Variable
This is a python package for the Categorical Variable Handling
onehot-encoding labelencoding binary binaryencoding machine-learning python3 pypi-package pip feature-engineering
Language:Python 1
Hands-On-Fraud-Analytics / Chapter-12-Data-Preparation-for-Fraud-Analytics
Chapter 12: Data Preparation for Fraud Analytics
algorithms classification classificationreport creditcard fraud logistic-regression-classifier machine-learning modelling optimization-algorithms performance-metrics random-forest-classifier feature-scaling heatmap imbalanced-data matplotlib onehot-encoding pandas seaborn smote-oversampler
Language:Jupyter Notebook 1
imsalmanmalik / Linear-Regression-Model-Airbnb-Prices-Seattle
Linear Regression Model on Airbnb prices of Seattle using Dash and Python
airbnb dash python choropleth-map dataanalysis datacleaning datamanupilation datascience feature-engineering machine-learning normalization numpy onehot-encoding pandas trainandtestsets visualization exploratory-data-analysis matplotlib seaborn-plots sklearn-library
Language:Jupyter Notebook 1
Lynn425 / Cook-County-Housing
Complete Exploratory Data Analysis on the Housing data of Cook County and fit a linear model to predict house prices
cross-validation housing onehot-encoding seaborn sklearn linear-models linear-regression
Language:Jupyter Notebook 1
Lynn425 / Spam-Email-Classification
Created numeric features derived from the email text and used those features for logistic regression based on exploratory data analysis. Used logistic regression to train a binary classifier. Used cross-validation to do feature and model selection.
binary-classification cross-validation logistic-regression onehot-encoding seaborn sklearn spam spam-classification text-analysis
Language:Jupyter Notebook 1
maerzm / nlp-babysteps
Code snippets for NLP
nlp-machine-learning code snippets tokenization keras sklearn pandas numpy onehot-encoding nlp nmf lda pca gensim-word2vec glove-vectors
Language:Jupyter Notebook 1
mmaks74 / How_to_start_with_ML_project
The notebook to my article in LinkedIn
machine-learning machinelearning machinelearning-python python cnn cnn-model rnn rnn-tensorflow rnn-lstm normalization normalize onehot-encoding onehot timeseries timeseries-forecasting image-classification lstm lstm-neural-network lstm-networks
Language:Jupyter Notebook 1
MoinDalvs / Learn_Feature_Engg_Time_Series
Feature Engineering on Time Series Dataset (Flight Price Prediction)
data-science data-structures data-transformation feature-engineering feature-extraction feature-selection onehot-encoding label-encoder time-series-analysis
Language:Jupyter Notebook 1
nisa-g / Data-Preprocessing-Full-Code
This file provides full practice of data preprocessing methods and techniques using different types of libraries.
numpy pandas python dummy-variables matplotlib matplotlib-pyplot missing-value-imputation onehot-encoding seaborn typecasting
Language:Python 1
ntdoris / home-price-prediction
Modeling King County Home Prices via Multiple Linear Regression
log-transformation multiple-linear-regression-model onehot-encoding
Language:Jupyter Notebook 1
sushantnair / Feature_Engineering
Feature Engineering steps implemented in Google Colab with step-by-step view.
binning feature-engineering handling-outlier machine-learning normalization onehot-encoding standardization
Language:Jupyter Notebook 1
Tommyphung1 / King-County-Feature-Regression
Finding Effects of House Attributes using Linear Regression
house-price-prediction linear-regression onehot-encoding
Language:Jupyter Notebook 1
z1311 / Character-Level-Text-Generation
Character Level Text Generation with RNN, LSTM and GRU. Implemented using PyTorch and trained with Marvel Cinematic Universe(MCU) Dialogue Corpus.
pytorch rnn lstm gru marvel-comics nlp dialogue-corpus mcu onehot-encoding one-hot-encoding
Language:Jupyter Notebook 1
zuhaib1214 / Feature-Engineering
This repository is totally focused on Feature Engineering Concepts in detail, I hope you'll find it helpful.
binarization feature-engineering labelencoder normalisation onehot-encoding ordinal-encoding percentile-method principal-component-analysis simpleimputer standardization winsorization z-score discritisation mean-median-imputation iterative-imputer knn-imputer frequent-value-imputation
Language:Jupyter Notebook 1
tanviparmarrajput / DATA-CLAENING-DATA-VISUALIZATION
Data Cleaning and Data Visualization with python libraries like numpy , pandas, sklean,seaborn, matplotlib-pyplot
boxplot datacleaning dataengineering datavisualization encoding labelencoding matplotlib-pyplot numpy onehot-encoding ordinal-encoding pandas pandas-dataframe pandas-library python seaborn sklearn imputer
Language:Jupyter Notebook

onehot-encoding

yanganYNU / AFFGCN

alexloser / xsvt

charumakhijani / fake-and-real-news-detection

erdogant / df2onehot

pritomsh / encoding-techniques

raynardj / category

shivasaib / UsedCarPricePrediction

tanvirnwu / Feature-Engineering--Python

Bhevendra / Deep-Learning---ANN-1

IDB-FOR-DATASCIENCE / Predicting-fit-of-a-candidate-for-a-job-using-tree-based-models

Kheem-Dh / Word2Vec-Algorithm-From-Scratch

marileano / Forest-Cover-Type

MrAnayDongre / Semantic-Segmentation-using-U-Net

norhanreda / Arabic-Text-Diacritization

oguzkeremyildiz / NeuralNetworks

tejasp12 / Retail--Big-Mart_Sales_Analysis

Vishnu-Kota / H-M-recommendation-system

whwbj / IBM-HR-employee-Attrition-Prediction-Study

ZL63388 / data-preparation-codes

chethanhn29 / NLP_Projects

Davidelvis / BankClientTermDeposit_Prediction

devil-cyber / Handling-Categorical-Variable

Hands-On-Fraud-Analytics / Chapter-12-Data-Preparation-for-Fraud-Analytics

imsalmanmalik / Linear-Regression-Model-Airbnb-Prices-Seattle

Lynn425 / Cook-County-Housing

Lynn425 / Spam-Email-Classification

maerzm / nlp-babysteps

mmaks74 / How_to_start_with_ML_project

MoinDalvs / Learn_Feature_Engg_Time_Series

nisa-g / Data-Preprocessing-Full-Code

ntdoris / home-price-prediction

sushantnair / Feature_Engineering

Tommyphung1 / King-County-Feature-Regression

z1311 / Character-Level-Text-Generation

zuhaib1214 / Feature-Engineering

tanviparmarrajput / DATA-CLAENING-DATA-VISUALIZATION