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Dec 27, 2022 - Python
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xgboost-model
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:octocat: Detection and Prediction of Air quality Index :octocat:
r deep-neural-networks time-series random-forest data-analysis mlp xgboost-model catboost prophet-model
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Jan 18, 2021 - Jupyter Notebook
this is my repository for the quick draw prediction model project
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Nov 22, 2017 - Python
LiFePo4(LFP) Battery State of Charge (SOC) estimation from BMS raw data
machine-learning battery bms inverter battery-management-system xgboost-model lfp xgboost-regression esphome lifepo4 lifepo4-battery state-of-charge
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Dec 20, 2023 - Jupyter Notebook
Forecasting Bitcoin Prices via ARIMA, XGBoost, Prophet, and LSTM models in Python
finance machine-learning deep-learning bitcoin model-comparison xgboost-model ltsm time-series-forecasting arima-forecasting prophet-model
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Aug 3, 2021 - Jupyter Notebook
Web application for earthquake prediction in a window of few future days. live data collection from https://earthquake.usgs.gov/
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Aug 31, 2020 - HTML
this is my repository for Amazon review helpfulness prediction model
amazon random-forest product-reviews nlp-machine-learning nmf prediction-model customer-reviews xgboost-model helpful-reviews
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Sep 14, 2017 - Jupyter Notebook
My solution for Quora's Question Pair contest on Kaggle.
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Jul 11, 2017 - Jupyter Notebook
Codes and templates for ML algorithms created, modified and optimized in Python and R.
feature-selection datascience feature-extraction thompson-sampling dimensionality-reduction ucb ann regression-models nlp-machine-learning kmeans-clustering apriori-algorithm hierarchical-clustering classification-algorithims parameter-tuning regression-algorithms xgboost-model kfold-cross-validation cnn-classification eclat-algorithm
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Mar 28, 2020 - Python
This is a Liver Disease Machine Learning Classification Capstone Project in fulfillment of the Udacity Azure ML Nanodegree. In this project, you will learn to deploy a machine learning model from scratch. The files and documentation with experiment instructions needed for replicating the project, is provided for you.
machine-learning azure classification hyperparameter-tuning automl xgboost-model end-to-end-machine-learning azure-devops azure-pipelines liver-disease liver-disease-dataset
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Feb 12, 2021 - Jupyter Notebook
numpy exploratory-data-analysis machine-learning-algorithms prediction pandas data-visualization seaborn lightgbm matplotlib data-preprocessing decision-tree-classifier scikitlearn-machine-learning random-forest-classifier xgboost-model knn-classifier svc-model catboost-model logistic-regression-classifier mlxtend pcos
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Jun 12, 2021 - Jupyter Notebook
Crisis incidents caused by rebel groups create a negative influence on the political and economic situation of a country. However, information about rebel group activities has always been limited. Sometimes these groups do not take responsibility for their actions, sometimes they falsely claim responsibility for other rebel group’s actions. Thi...
random-forest sklearn pandas python3 matplotlib grid-search asia object-oriented-programming acled xgboost-model classification-model grid-search-hyperparameters crisis
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Dec 5, 2022 - Jupyter Notebook
Machine-Learning: eXtreme Gradient-Boosting Algorithm Stress Testing
machine-learning-algorithms pytorch neural-networks python-3 jupyter-notebooks xgboost-algorithm xgboost-model xgboost-regression xgboost-python arxiv-papers
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Jun 26, 2022 - C++
The Complete Journey Dataset: Churn Prediction
feature-extraction xgboost hyperparameter-optimization feature-engineering churn churn-prediction xgboost-algorithm xgboost-model xgb-classifier the-complete-journey-dataset dunnhumby
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Apr 9, 2020 - Jupyter Notebook
World Health Organization has estimated 12 million deaths occur worldwide, every year due to Heart diseases. Half the deaths in the United States and other developed countries are due to cardio vascular diseases.
data-science machine-learning ai eda data-visualization rfc healthcare logistic-regression modelling heart-disease heart-failure xgboost-model
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Sep 28, 2021 - Jupyter Notebook
Advance Time Series Analysis using Probabilistic Programming, Auto Regressive Neural Networks and XGBoost Regression.
time-series keras probabilistic-programming pymc3 keras-neural-networks time-series-analysis xgboost-model pytorch-implementation
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Aug 11, 2025 - Jupyter Notebook
Using a Kaggle dataset, customer personality was analysed on the basis of their spending habits, income, education, and family size. K-Means, XGBoost, and SHAP Analysis were performed.
python machine-learning xgboost kmeans kmeans-clustering xgboost-algorithm xgboost-model kmeans-clustering-algorithm shapley-additive-explanations customer-personas shap-analysis customer-personality-analysis
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Nov 4, 2021 - Jupyter Notebook
I'm attempting the NYC Taxi Duration prediction Kaggle challenge. I'll by using a combination of Pandas, Matplotlib, and XGBoost as python libraries to help me understand and analyze the taxi dataset that Kaggle provides. The goal will be to build a predictive model for taxi duration time. I'll also be using Google Colab as my jupyter notebook....
python machine-learning deep-learning random-forest numpy linear-regression scikit-learn pandas python3 kaggle-competition xgboost matplotlib feature-engineering knn-regression xgboost-model nyc-taxi-dataset fastest-routes visualization-image google-colab remote-server
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Sep 21, 2018 - Jupyter Notebook
使用比赛方提供的脱敏数据,进行客户信贷流失预测。
machine-learning eda lightgbm ann xgboost-model stratified-sampling tabnet stacking-ensemble autogluon stratified-cross-validation smote-sampling smote-oversampler stacking-classifier
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May 18, 2022 - Jupyter Notebook
By using feature engineering technique and XGBoost algorithm to predict house price
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Apr 8, 2020 - Jupyter Notebook
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