GitHub topics: onehot-encoding

Repositories

Algi21/Supervised-Learning-Classification

Project Supervised Learning - Classification untuk memprediksi customer churn atau tidak berdasarkan dataset suatu perusahaan telekomunikasi.

Language: Jupyter Notebook - Size: 647 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

erdogant/df2onehot

Convert a unstructured array into a stuctured dataframe.

Language: Python - Size: 6.67 MB - Last synced at: 26 days ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 1

Marlyn-Mayienga/Titanic-Survival-Prediction

Predicting passenger survival on the Titanic using an ensemble machine learning approach, achieving a Kaggle score of 0.77990. This project leverages stacking with Random Forest, Gradient Boosting, and SVM, enhanced by feature engineering and hyperparameter tuning, to model survival patterns effectively.

Language: Jupyter Notebook - Size: 590 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Emmanuelprz1400/Linear-Regression

Project where the Linear Regression algorithm is used

Language: Jupyter Notebook - Size: 189 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

owenl0000/HousePricesProject

Kaggle Project

Language: Jupyter Notebook - Size: 32.5 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

AlejandroMeyer/Hotel-Booking-Cancellation-Prediction

This project predicts hotel booking cancellations using machine learning techniques like One-Hot Encoding and RandomForestClassifier. It preprocesses customer data, trains a model, and provides predictions to help businesses identify high-risk cancellations.

Language: Jupyter Notebook - Size: 12.2 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Himel-Sarder/Encoding-categorical-data

This repository demonstrates various techniques for encoding categorical data, an essential step in preparing datasets for machine learning models.

Language: Jupyter Notebook - Size: 957 KB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

djdhairya/Brain-Stroke-Prediction

Language: Jupyter Notebook - Size: 550 KB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

MoeinGazestanii/Car-Sales-Price-Prediction

Car Sales Price Prediction (Streamlit)

Language: Python - Size: 334 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

yanganYNU/AFFGCN

Attention Feature Fusion base on spatial-temporal Graph Convolutional Network（AFFGCN）

Language: Python - Size: 144 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 36 - Forks: 1

camilogarciabotero/BioVossEncoder.jl

A small Julia package to represent BioSequences as a Voss matrix

Language: Julia - Size: 1.22 MB - Last synced at: 14 days ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

EbadShabbir/Company_profit-Onehotencoding-

This project uses multiple linear regression to predict startup profits based on spending and location data from the **50 Startups** dataset. It includes data preprocessing, model training, and performance evaluation using Scikit-Learn.

Language: Jupyter Notebook - Size: 8.79 KB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

akankshakusf/ML_Sensor-Data-Classification-Project

This is my Machine Learning Project for the Master Program

Language: Jupyter Notebook - Size: 28.3 KB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

RadulDev/ANN-classification-churn

ANN based classifiacation model

Language: Jupyter Notebook - Size: 355 KB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

TrilokiDA/Data-pre-processing

Data preprocessing is a data mining technique that is used to transform the raw data into a useful and efficient format.

Language: Jupyter Notebook - Size: 1.7 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

johannaschmidle/House-Price-Predictor

A machine learning model to accurately predict house prices based on various features such as quality, size, and location, utilizing Random Forest and XGBoost algorithms (Python)

Language: Jupyter Notebook - Size: 978 KB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

EtTu-Prayush/ChatBot-Kowalski

Kowalski knows everything about Tennis and Kowalski is never wrong. Kowalski uses a Deep Neural Network Framework to train intent based dataset. It uses One-Hot Encoding and CBOW concepts to further improve the results.

Language: Python - Size: 393 KB - Last synced at: 12 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

tanviparmarrajput/DATA-CLAENING-DATA-VISUALIZATION

Data Cleaning and Data Visualization with python libraries like numpy , pandas, sklean,seaborn, matplotlib-pyplot

Language: Jupyter Notebook - Size: 59.5 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

yujansaya/kaggle_customer_segmentation

Mall Customer Segmentation Data

Language: Jupyter Notebook - Size: 1.82 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 157 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

abibatoki/Classification-Model

A model that predicts startup success from data on early-stage investments in the Crunchbase database.

Size: 82 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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

Chapter 12: Data Preparation for Fraud Analytics

Language: Jupyter Notebook - Size: 3.57 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

mishika12/Predicting_Life_Expectancy-Regression

Analyzing and predicting life expectancy of a country based on multiple factors using multiple regression techniques

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

OmBaval/Airline-Customer-Satisfaction

This project employs a dataset of 103,904 entries with 25 features. Utilizing the XGBoost classifier,The workflow involves data fetching, feature selection, preprocessing, correlation analysis, best feature selection, data rescaling, train-test split, and target balancing. Predicts whether a customer will experience satisfaction with a flight.

Language: Jupyter Notebook - Size: 3.84 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

hassaanhameed786/Probability-and-Statistics-for-Computer-Science

The most common discrete and continuous distributions, showing how they find use in decision and estimation problems, and constructs computer algorithms for generating observations from the various distributions. and applications, and lastly the most important concept is covered is entropy

Language: Jupyter Notebook - Size: 18 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Lynn425/Cook-County-Housing

Complete Exploratory Data Analysis on the Housing data of Cook County and fit a linear model to predict house prices

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

AartiPBhagat/House-Classification-Expensive-Cheap

A Machine Learning Approach for House Classification into Expensive and Cheap Categories

Size: 4.88 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

TrilokiDA/Kaggle

Language: Jupyter Notebook - Size: 976 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

tezzytezzy/credit-risk-anomaly-detection

Binary Classification Models with pySpark in Apache Spark

Language: Jupyter Notebook - Size: 640 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

mmaks74/How_to_start_with_ML_project

The notebook to my article in LinkedIn

Language: Jupyter Notebook - Size: 181 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

Bhevendra/Deep-Learning---ANN-1

Deep Learning -Artificial Neural Network

Language: Jupyter Notebook - Size: 491 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

Kheem-Dh/Word2Vec-Algorithm-From-Scratch

Skip-Gram Model From Scratch

Language: Jupyter Notebook - Size: 119 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

FarhanaTeli/BERT_TFIDF-BERT_Semantic_Text_Similarity

Semantic Similarity on SNLI dataset using BERT as well as TF-IDF+BERT(Pooled) embeddings.

Language: Jupyter Notebook - Size: 11 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ashishyadav24092000/Encoding_categorical-variables

Mostl oftenly used Encoding techniques for categorical Varibales are performed here.

Language: Jupyter Notebook - Size: 1.13 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

OmSarda/Real_Estate_Price_Prediction

Repo for the Real Estate Price Prediction

Language: Jupyter Notebook - Size: 45.9 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

chethanhn29/NLP_Projects

This is the Repository for different Natural language Processing(NLP) projects using Hugging face,Gensim, NLTK,Spacy and other Libraries

Language: Jupyter Notebook - Size: 131 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

alexloser/xsvt

Small tools for csv file processing (onehot encoding, format checking and converting to libsvm).

Language: C - Size: 148 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 1

edohgoka/Students_Placement_Analysis

Students Placement based on some characteristics.

Language: Jupyter Notebook - Size: 1.72 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

TrilokiDA/analyticsVidhya

Language: Jupyter Notebook - Size: 469 KB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

ChaitanyaPandit1998/Crop-Yield-Prediction

Crop Yield Prediction Of Different Districts In Different States Of India.

Language: Jupyter Notebook - Size: 35.9 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

oguzkeremyildiz/NeuralNetworks

Deep Learning library.

Language: Java - Size: 113 KB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

agomolka/KaggleTitanicCompetition

Predict survival on the Titanic and get familiar with ML basics.

Language: Jupyter Notebook - Size: 6.21 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

enockjamin01/ML-ALGO

This Repository provides the basic code snippets for all the most widely used ML Algorithms like Supervised , Unsupervised and Recommender system algorithms

Language: Jupyter Notebook - Size: 692 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

elsie-n/House-Prices-Analysis-Modelling

Developed a business problem for a Real-estate company that required price modelling to come up with an effective pricing way for houses.

Language: Jupyter Notebook - Size: 8.31 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

NotTheStallion/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.

Language: Jupyter Notebook - Size: 1.65 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Palemravichandra/customer-segmentation

customer segmentation of insurance comapany

Language: Jupyter Notebook - Size: 4.18 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

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

Linear Regression Model on Airbnb prices of Seattle using Dash and Python

Language: Jupyter Notebook - Size: 8.68 MB - Last synced at: 4 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

MrAnayDongre/Semantic-Segmentation-using-U-Net

Implementing Semantic Segmentation on Satellite images using U-Net architecture

Language: Python - Size: 9.77 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

zuhaib1214/Feature-Engineering

This repository is totally focused on Feature Engineering Concepts in detail, I hope you'll find it helpful.

Language: Jupyter Notebook - Size: 15.9 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

abiflynn/supervised_machine_learning

Language: Jupyter Notebook - Size: 2.24 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

seherkuutlu/Python-ile-Veri-Tipi-Donusumu

Bu projede Credit Risk Data veri setini kullanarak veri tipi dönüşümünü gerçekleştirdim.

Language: Jupyter Notebook - Size: 54.7 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

ntdoris/home-price-prediction Fork of learn-co-curriculum/dsc-phase-2-project-v2-3

Modeling King County Home Prices via Multiple Linear Regression

Language: Jupyter Notebook - Size: 11.3 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

Davidelvis/BankClientTermDeposit_Prediction

Bank Institution Term Deposit Predictive Model

Language: Jupyter Notebook - Size: 992 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 3

MoinDalvs/Learn_Feature_Engg_Time_Series

Feature Engineering on Time Series Dataset (Flight Price Prediction)

Language: Jupyter Notebook - Size: 17.6 KB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

raynardj/category

Category transformation

Language: Python - Size: 32.2 KB - Last synced at: 18 days ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 1

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.

Language: Jupyter Notebook - Size: 3.44 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

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.

Language: Jupyter Notebook - Size: 539 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0