GitHub topics: categorical-encoding
Nouran246/House-Pricing-Prediction Fork of Yahia-Elshobokshy/Task1-Machine-Learning
Housing Prices Prediction using Machine Learning Developed a regression model to predict housing prices using data preprocessing, feature engineering, and various regression algorithms. Tuned hyperparameters and evaluated performance with key metrics (RMSE, MAE, R²).
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rahulvictor12/German-Bank-Loan-Defaulter-Prediction
A machine learning project to predict loan defaults in a German bank's customer base. Using the German Credit Risk dataset, it explores key factors contributing to defaults and trains models like Random Forest, GBM, and XGBoost. Includes EDA, data processing, hyperparameter tuning, and model evaluation.
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NiharJani2002/kaggle-Intermediate-Machine-Learning
Intermediate Machine Learning Course By Kaggle
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Davityak03/Random-Forest-Ensemble-Technique
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venkat-a/Text_Processing_RNN_LSTM
Text Processing RNN leverages RNN and LSTM models for advanced text processing. It features deep learning techniques for NLP tasks, utilizing GloVe for word embeddings, aimed at both educational and practical applications.
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dixitamol/ML_code_templates_R
Code templates for different ML algorithms
Language: R - Size: 15.6 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

arunsinghbabal/Controlled-Automation-for-Data-Processing
Perform semi automated exploratory data analysis, feature engineering and feature selection on provided dataset by visualizing every possibilities on each step and assisting the user to make a meaningful decision to achieve a low-bias and low-variance model.
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SayamAlt/E-Commerce-Text-Classification
Successfully established a machine learning model that can accurately classify an e-commerce product into one of four categories, namely "Books", "Clothing & Accessories", "Household" and "Electronics", based on the product's description.
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ecvsgl/MLproject-DrivenData-PumpItUp
Exploratory data analysis and model preparation for DrivenData contest: PumpItUp!
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leffff/waveml
Open source machine learning library with various machine learning tools
Language: Python - Size: 70.3 KB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 12 - Forks: 1

NavindaFernando/Feature-Extraction
Heart Risk Level Predicting Regression Model & Web using Feature Engineering and Data Preprocessing :baby_chick:
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cpa-analytics/embedding-encoder
Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
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albertusk95/weight-of-evidence-spark
Weight of Evidence Encoding & Information Value
Language: Python - Size: 24.4 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 9 - Forks: 4

Yashasvi863/Machine-Learning-Classification
Customer Churn Analysis
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AshiniAnantharaman/Image_classification_of_CIFAR10_dataset
The project uses Artificial Neural Network and Convolutional Neural Network to classify images into 10 different categories.
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NaquibAlam/Categorical_Encoding_Experimentation
This repo contains code for experimenting with categorical encoding - WoE, Catboost, Target encoder, and many more.
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subhayuroy/KickStarter
🎬This KickStarter project is about some🎞 foreign films🎥 and music videos🎶. This is an analysis 📽of their 'goal currency' and release time.🎦
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