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20 search results found

Tutorials ⭐ 915

CatBoost tutorials repository

Intrusion Detection System Using Machine Learning ⭐ 248

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

Aws Machine Learning University Dte ⭐ 177

Machine Learning University: Decision Trees and Ensemble Methods

Benchmarks ⭐ 157

Comparison tools

Ds Ml Public ⭐ 49

Python Scripts and Jupyter Notebooks

Aiml Projects ⭐ 44

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

Recsys2019 ⭐ 26

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

Yandexcatboost Python Demo ⭐ 26

Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data exploration, cleaning, preprocessing and model tuning are performed on the dataset

Github Stars Predictor ⭐ 25

It's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 stars.

Wsdm2022tgp Antgraph ⭐ 13

the 1st place of WSDM 2022 Challenge (Temporal Link Prediction)

Hr Analytics ⭐ 12

Analyzing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visualizations, and Machine Learning Models for Classification Purposes.

Ltfs Data Science Finhack Anlytics Vidhya ⭐ 9

34th (Top 3%) Rank Solution for LTFS Data Science FinHack ( ML Hackathon).

Credit Risk Management ⭐ 9

A binary classification model is developed to predict the probability of paying back a loan by an applicant. Customer previous loan journey was used to extract useful features using different strategies such as manual and automated feature engineering, and deep learning (CNN, RNN). Various machine learning algorithms such as Boosted algorithms (XGBoost, LightGBM, CatBoost) and Deep Neural Network are used to develop a binary classifier and their performances were compared.

Genpact Ml Hackathon ⭐ 8

Genpact ML hackathon 2018 hosted on Analytics Vidhya. Food demand forecasting - 79th rank solution

Raifhack Ds ⭐ 8

2 days DS hackathon at Raiffeisen

Amazon Sagemaker Experiments Dvc Demo ⭐ 8

SageMaker Experiments and DVC

Graduate_admissions_prediction ⭐ 7

A Streamlit web app that predicts the chance of admission into masters program based on various factors .

Cambridgetemperaturenotebooks ⭐ 5

Cambridge UK temperature forecast python notebooks

Xgboost Vs Catboost Vs Litegbm ⭐ 5

The python notebook is on googles new collabatory tool. Its a churn model being run on 3 different algorithms to compare.

Streamlit Shap Explorer ⭐ 5

A Streamlit Web Application that predicts the genre of a song, interactively explores the corresponding SHAP values and locally explains a CatBoost Multi Classification model

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