onehot-encoder

There are 0 repository under onehot-encoder topic.

jeremy191 / clustering-based-anomaly-detection
This clustering based anomaly detection project implements unsupervised clustering algorithms on the NSL-KDD and IDS 2017 datasets
nsl-kdd dbscan-algorithm clustering clustering-algorithms lof dataset isolation-forest anaconda kmeans-clustering f1-score min-max-scaler onehot-encoder ids2017 missing-values simple-imputer normalized-mutual-info anomaly-detection score-metrics
Language:Jupyter Notebook 46
gyrdym / ml_preprocessing
Implementation of popular data preprocessing algorithms for Machine learning
data-preprocessing data-science machine-learning machine-learning-algorithms onehot-encoder ordinal-encoder
Language:Dart 19
TsLu1s / Atlantic
Atlantic - Automated Data Preprocessing Framework for Supervised Machine Learning
data-science machine-learning automl automl-pipeline feature-selection preprocessing-pipeline scikit-learn predictive-modeling predictive-maintenance data-preprocessing onehot-encoder automation label-encoder
Language:Python 11
singhrahuldps / OneHotEncode
A python script to deploy One-Hot encoding in Pandas Dataframes
python pandas onehot-encoder numpy
Language:Python 8
m-clark / tidyext
Extensions and extras for tidy processing.
r tidyverse datapreprocessing summary-statistics dplyr tidyr group-by summary onehot-encoder sparse-matrix preprocessing missing-data prediction rounding head tail
Language:R 6
sayhitosandy / Chatbot
Automatic Response Generation to Conversational Stimuli
seq2seq-chatbot lstm rnn gru hmm word2vec onehot-encoder keras tensorflow perplexity nlp machine-learning
Language:Python 5
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
anazhmetdin / protEncoder
python package to encode protein using different methods for machine learning
bioinformatics protein-encoding machine-learning onehot-encoder protvec protein-function-prediction cafa
Language:Python 3
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
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
BartBoerman / classify-passenger-survival-titanic-h2o
This my entry for the Titanic competition on Kaggle. May 2019: public score is 0.80382, which is a top 10% ranking on the leader board of around 11.249 participants.
classification data-wrangling feature-engineering gbm h2o impute kaggle-titanic onehot-encoder pandas python random-forest stacked-ensembles
Language:Python 2
Kyle-Pu / Python-Data-Science-Projects
A host of data science + machine learning projects with Python, pandas, scikit-learn and more!
convolutional-neural-networks imputation keras keras-tensorflow matplotlib-pyplot onehot-encoder pandas pipelines python python-3 scikit-learn tensorflow tensorflow-models xgboost xgboost-model
Language:Python 2
OverFlowData / PersianTextSimilarity
OneHotVector and K means
kmeans-clustering farsi onehot-encoder sklearn-library
Language:Python 2
paritosh3006 / Trend_Analysis_in_APMC
Challenge 1: Agriculture Commodities, Prices & Seasons Aim: Your team is working on building a variety of insight packs to measure key trends in the Agriculture sector in India. You are presented with a data set around Agriculture and your aim is to understand trends in APMC (Agricultural produce market committee)/mandi price & quantity arrival data for different commodities in Maharashtra. Objective: Test and filter outliers. Understand price fluctuations accounting the seasonal effect Detect seasonality type (multiplicative or additive) for each cluster of APMC and commodities De-seasonalise prices for each commodity and APMC according to the detected seasonality type Compare prices in APMC/Mandi with MSP(Minimum Support Price)- raw and deseasonalised Flag set of APMC/mandis and commodities with highest price fluctuation across different commodities in each relevant season, and year.
time-series-analysis python pandas numpy onehot-encoder dbscan matplotlib
Language:Jupyter Notebook 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
Bramitha-gowda-M / T20-world-cup-prediction-system
T20 World Cup Prediction System -- This GitHub repository contains the code for a T20 World Cup prediction system implemented in Python. The project utilizes popular libraries such as pandas, NumPy, and XGBoost for data manipulation, cleaning, and building predictive models.
python columntransformer onehot-encoder pipeline standardscaler xgboost-regression
Language:Jupyter Notebook 1
charumakhijani / restaurant-analysis-and-rating-prediction
zomato-restaurant-analysis kaggle-dataset kaggle exploratory-data-analysis data-plotting matplotlib-pyplot seaborn heatmap onehot-encoder dummies linear-regression ridge-regression lasso-regression random-forest decision-tree svm knn extra-tree-regressor feature-engineering feature-importance
Language:Jupyter Notebook 1
juzcho / Machine_Learning_Trading_Bot
This is in regard to algorithmic trading bot with the use of machine learning to predict potential returns and actual returns.
machine-learning python scikit-learn pyviz linear-models classification-report onehot-encoder hvplot svc-svm numpy jupyter-notebook pandas
Language:Jupyter Notebook 1
paritosh3006 / ML_ALGO
svm svm-classifier machine-learning-algorithms linear-regression onehot-encoder logistic-regression
Language:Jupyter Notebook 1
prashantpagaree / Project-Salary-Prediction-Machine-Learning
Data Preprocessing for Machine Learning
labelencoder matplotlib-pyplot onehot-encoder outlier-analysis pandas python seaborn datapreprocessing linear-regression
Language:Jupyter Notebook 1
rhl-gupta / Deep-Learning-using-TensorFlow
This repository contains jupyter notebooks explaining the basics of TF and deep learning classification model using TF
jupyter-notebooks-explaining mnist-classification modeling-using-tensorflow onehot-encoder tensorflow tensorflow-objects
Language:Jupyter Notebook 1
sadhave2511 / Titanic_Kaggle
Employed hyper-parameter tuning (Gridsearch CV) and ensemble methods (Voting Classifier) to combine the results of the best models. Data Cleaning and Exploration using Pandas. Stratified Cross Validation to model and validate the training data
hyperparameter-tuning gridsearchcv cross-validation kfold-cross-validation python3 violinplot onehot-encoder sklearn
Language:Jupyter Notebook 1
emaynard10 / Neural_network_charity_analysis
Exploring machine learning with nueral networks for a charity analysis. Adjusting the model to try and improve accuracy to predict which projects are likely to be successful.
jupyter-notebook keras-tuner nueral-networks onehot-encoder pandas-python standardscaler supervised-machine-learning tensorflow
Language:Jupyter Notebook 0
Gabriel1Vitor / label
labelencoder sklearn onehot-encoder python
Language:Jupyter Notebook 0
GeeKboy2 / Data_preparation_4_ML_algorithm
This project will focus on data preparation and will follow the steps : data cleaning, handling text and categorical attributes, and feature scaling.
data-cleaning data-preparation data-preprocessing data-science feature-scaling ml onehot-encoder onehot-encoding
Language:Jupyter Notebook 0
hpitawela / major_prediction
python pandas-dataframe neural-network dropout keras-models prediction-algorithm deep-learning onehot-encoder integer-encoding
Language:Jupyter Notebook 0
janardan-ds / Prediction-of-HealthCare-Industry
To predict whether booked appointment will be completed or it will be no show.
random-forest ml classification decision-trees power-transform xgboost onehot-encoder labelencoder sklearn-library show logistic-regression
Language:Python 0
suyinwb / Neural_Network_Charity_Analysis
From Alphabet Soup’s business team, Beks received a CSV containing more than 34,000 organizations that have received funding from Alphabet Soup over the years. Within this dataset are a number of columns that capture metadata about each organization
onehot-encoder sklearn standardscaler tensorflow
Language:Jupyter Notebook 0
YaminiGhumre / 50_startups_prj3
50_startups_prj3 multiple linear regression practical
array dataset iloc labelencoder matlplotlib multiple-linear-regression numpy onehot-encoder pandas sklearn
Language:Python 0
DataSpieler12345 / ml-with-python
Python Machine Learning Projects | Hands-on Experience...
machine-learning python logistic-regression onehot-encoder randomforestclassifier
Language:Jupyter Notebook
davidkorea / house_price_pred_feat_preprocessing
Feature Pre-processing
onehot-encoder minmax-algorithm preprocessing
Language:Python
Deepshikha05 / Customer_Behavior_Analysis
logistic-regression svm decision-trees random-forest-classifier python classification customer-behavior-analysis feature-scaling onehot-encoder label-encoding
Language:Jupyter Notebook
dhawal777 / DecisionTree
Implementation of decision tree from scratch along with analysis of its performance with different types of impurity measures
decision-trees jupyter-notebook matplotlib entropy gini-impurity onehot-encoder
Language:Jupyter Notebook
miguelangelnieto / Image-Classification
Classified images from the CIFAR-10 dataset. The dataset consists of airplanes, dogs, cats, and other objects. The dataset was preprocessed, then trained a convolutional neural network on all the samples. I normalized the images, one-hot encoded the labels, built a convolutional layer, max pool layer, and fully connected layer.
convolutional-neural-networks data-normalization onehot-encoder preprocessing sklearn tensorflow
Language:HTML
yu45020 / encodedummy
Fast Encode Non-Numeric Variables into Dummy Columns
r datatable dummy onehot-encoder
Language:R

onehot-encoder

jeremy191 / clustering-based-anomaly-detection

gyrdym / ml_preprocessing

TsLu1s / Atlantic

singhrahuldps / OneHotEncode

m-clark / tidyext

sayhitosandy / Chatbot

alexloser / xsvt

anazhmetdin / protEncoder

charumakhijani / fake-and-real-news-detection

tanvirnwu / Feature-Engineering--Python

BartBoerman / classify-passenger-survival-titanic-h2o

Kyle-Pu / Python-Data-Science-Projects

OverFlowData / PersianTextSimilarity

paritosh3006 / Trend_Analysis_in_APMC

tejasp12 / Retail--Big-Mart_Sales_Analysis

Bramitha-gowda-M / T20-world-cup-prediction-system

charumakhijani / restaurant-analysis-and-rating-prediction

juzcho / Machine_Learning_Trading_Bot

paritosh3006 / ML_ALGO

prashantpagaree / Project-Salary-Prediction-Machine-Learning

rhl-gupta / Deep-Learning-using-TensorFlow

sadhave2511 / Titanic_Kaggle

emaynard10 / Neural_network_charity_analysis

Gabriel1Vitor / label

GeeKboy2 / Data_preparation_4_ML_algorithm

hpitawela / major_prediction

janardan-ds / Prediction-of-HealthCare-Industry

suyinwb / Neural_Network_Charity_Analysis

YaminiGhumre / 50_startups_prj3

DataSpieler12345 / ml-with-python

davidkorea / house_price_pred_feat_preprocessing

Deepshikha05 / Customer_Behavior_Analysis

dhawal777 / DecisionTree

miguelangelnieto / Image-Classification

yu45020 / encodedummy