Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
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Updated
Jun 11, 2024 - C++
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Fraudulent Activities - anomaly detection
Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn and TensorFlow-Keras
Standardized Serverless ML Inference Platform on Kubernetes
Prediction of NYC taxi trip duration using machine learning
Distributed ML Training and Fine-Tuning on Kubernetes
Some of the topics, algorithms and projects in Machine Learning & Deep Learning that I have worked on and become familiar with.
Time series forecasting with machine learning models
This project dives deep into customer sales data to uncover valuable insights for business decision-making. It leverages machine learning and time-series forecasting to predict customer churn, forecast product demand, and segment customers based on their purchasing behavior.
This project uses machine learning to predict diabetes and provides explanations through SHAP and PCA, displayed in an intuitive user interface.
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
XGBoost is an open-source machine learning library that provides efficient and scalable implementations of gradient boosting algorithms. It is known for its speed, performance, and accuracy, making it one of the most popular and widely-used machine learning libraries in the data science community.
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
A project for sentiment analysis of tweets using various NLP techniques and machine learning models.
📘 The MLOps stack component for experiment tracking
Performance of various open source GBM implementations
This repository aims to test some machine learning and ELI5 explainability technique in order to predict whether the customer would be interested in Vehicle insurance, you have information about demographics, vehicles, policy
Predicting Adult Census Income Using XGBoost Tree Boosting System
Parkinson’s disease is a progressive disorder that affects the nervous system and the parts of the body controlled by the nerves. Symptoms are also not that sound to be noticeable. Signs of stiffening, tremors, and slowing of movements may be signs of Parkinson’s disease.
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