Topic: "target-encoding"
sharmaroshan/Fraud-Detection-in-Insurace-Claims
This is a very Important part of Data Science Case Study because Detecting Frauds and Analyzing their Behaviours and finding reasons behind them is one of the prime responsibilities of a Data Scientist. This is the Branch which comes under Anamoly Detection.
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sharmaroshan/Christiano-Ronaldo---Goal-Prediction-Top-40-
It is a Problem Which I got During the ZS Data Science Challenge From Interview Bit Hiring Challenge Where I secured a 40th Rank out of 10,000 Students across India. It is a Dataset which requires Intensive Cleaning and Processing. Here I have Performed Classification Using Random Forest Classifier and Used Hyper Tuning of the Parameters to achieve the Accuracy. I got a very Satisfiable Accuracy from the Model in both the Training and Testing Sets.
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vla6/Blog_gnn_naics
Exploring categorical features with various encodings and models
Language: Jupyter Notebook - Size: 66.1 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 4 - Forks: 0
NaquibAlam/M5_Forecasting_Accuracy_kaggle
It contains the code and data for M5 Forecasting - Accuracy competition on Kaggle.
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Nikolay-Lysenko/dsawl π¦
A set of tools for machine learning (for the current day, there are active learning utilities and implementations of some stacking-based techniques).
Language: Python - Size: 194 KB - Last synced at: 9 days ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0
mustafahakkoz/Advertisement-CTR-Prediction
A submission for HUAWEI - 2020 DIGIX GLOBAL AI CHALLENGE
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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: about 1 month ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
rafah91/life-expectancy-data-processing
Life expectancy data processing
Language: Jupyter Notebook - Size: 150 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
sadpepep/ML_preprocessing
Data preprocessing for machine learning modelling. Quantile transformation for the outliers removal, replacing NULLs with medians, using target encoder and Z-score standardisation for the numeric variables.
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schatzederwelt/stock-prices-cars
ΠΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΡΡΠ½ΠΎΡΠ½ΠΎΠΉ ΡΡΠΎΠΈΠΌΠΎΡΡΠΈ Π°Π²ΡΠΎΠΌΠΎΠ±ΠΈΠ»Π΅ΠΉ
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VipinindKumar/Predict-Future-Sales
Deployed model to predict total sales for every item and shop for the next month, from a time-series dataset consisting of daily sales data
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toan01-uet/Solution-for-HackerEarth-Machine-Learning-challenge
HackerEarth Machine Learning challenge: Of Genomes And Genetics
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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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ShrishailSGajbhar/Coursera-Project
Final project for "How to win a data science competition" Coursera course
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paritoshkc/Income_predictor
Language: Python - Size: 639 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
