Trending repositories for topic kaggle
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tas...
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AW...
Fast and customizable framework for automatic ML model creation (AutoML)
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas suc...
A self-generalizing gradient boosting machine which doesn't need hyperparameter optimization
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computa...
免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战
A self-generalizing gradient boosting machine which doesn't need hyperparameter optimization
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Fast and customizable framework for automatic ML model creation (AutoML)
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas suc...
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tas...
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AW...
免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computa...
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AW...
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tas...
Fast and customizable framework for automatic ML model creation (AutoML)
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computa...
A self-generalizing gradient boosting machine which doesn't need hyperparameter optimization
免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas suc...
DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.
AI-Generated Text Detection: A BERT-powered solution for accurately identifying AI-generated text. Seamlessly integrated, highly accurate, and user-friendly.🚀
The Google Advanced Data Analytics Certificate contains information on how to use machine learning, predictive modeling, and experimental design to collect and analyze large amounts of data, and prepa...
1st Place Solution for LLM - Detect AI Generated Text Kaggle Competition
AI-Generated Text Detection: A BERT-powered solution for accurately identifying AI-generated text. Seamlessly integrated, highly accurate, and user-friendly.🚀
A self-generalizing gradient boosting machine which doesn't need hyperparameter optimization
The Google Advanced Data Analytics Certificate contains information on how to use machine learning, predictive modeling, and experimental design to collect and analyze large amounts of data, and prepa...
Fast and customizable framework for automatic ML model creation (AutoML)
1st Place Solution for LLM - Detect AI Generated Text Kaggle Competition
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tas...
免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computa...
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AW...
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas suc...
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AW...
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tas...
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computa...
A self-generalizing gradient boosting machine which doesn't need hyperparameter optimization
Fast and customizable framework for automatic ML model creation (AutoML)
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas suc...
免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战
Seq2Seq, Bert, Transformer, WaveNet for time series prediction.
DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.
Practices on data analysis including: cleaning, visualization and EDA on different datasets using Python, SQL, Power BI, etc.
Instructions for connecting SSH between Kaggle and Visual Studio Code
Instructions for connecting SSH between Kaggle and Visual Studio Code
Practices on data analysis including: cleaning, visualization and EDA on different datasets using Python, SQL, Power BI, etc.
A self-generalizing gradient boosting machine which doesn't need hyperparameter optimization
AI-Generated Text Detection: A BERT-powered solution for accurately identifying AI-generated text. Seamlessly integrated, highly accurate, and user-friendly.🚀
The Google Advanced Data Analytics Certificate contains information on how to use machine learning, predictive modeling, and experimental design to collect and analyze large amounts of data, and prepa...
Data Extraction (from https://stats.nba.com) and Processing Scripts to Produce the NBA Database on Kaggle (https://kaggle.com/wyattowalsh/basketball)
A complete overview and insights into AI-Text detection :seedling: using the powerful BERT(Bi-directional encoder representation transformer) to predict if a text is AI-generated :sunflower: or Human-...
Fast and customizable framework for automatic and quick Causal Inference in Python
The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.
Papers and datasets for Vibration Analysis
1st place solution of RSNA Screening Mammography Breast Cancer Detection competition on Kaggle: https://www.kaggle.com/competitions/rsna-breast-cancer-detection
Repository of course materials for a multi-day course on machine learning for tabular data using Scikit-Learn and XGBoost
Seq2Seq, Bert, Transformer, WaveNet for time series prediction.
1st Place Solution for LLM - Detect AI Generated Text Kaggle Competition
Fast and customizable framework for automatic ML model creation (AutoML)
A self-generalizing gradient boosting machine which doesn't need hyperparameter optimization
1st Place Solution for LLM - Detect AI Generated Text Kaggle Competition
A complete overview and insights into AI-Text detection :seedling: using the powerful BERT(Bi-directional encoder representation transformer) to predict if a text is AI-generated :sunflower: or Human-...
Developed a sophisticated machine learning model capable of generating diverse interview questions aligned with specific topics, ensuring depth of conversation. Integrated advanced Natural Language Pr...
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AW...
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tas...
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computa...
Fast and customizable framework for automatic ML model creation (AutoML)
A self-generalizing gradient boosting machine which doesn't need hyperparameter optimization
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas suc...
免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战
DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.
1st Place Solution for LLM - Detect AI Generated Text Kaggle Competition
Seq2Seq, Bert, Transformer, WaveNet for time series prediction.
Fast and customizable framework for automatic and quick Causal Inference in Python
1st Place Solution for LLM - Detect AI Generated Text Kaggle Competition
Fast and customizable framework for automatic and quick Causal Inference in Python
Instructions for connecting SSH between Kaggle and Visual Studio Code
Stable-Diffusion-WebUI - NoteBook | Colab (Pro/Free), Kaggle.
The Google Advanced Data Analytics Certificate contains information on how to use machine learning, predictive modeling, and experimental design to collect and analyze large amounts of data, and prepa...
goto_conversion and efficient_shin_conversion (faster Shin's method)
The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.
(AAAI 2023 oral) Original implementation and experiment results of T2G-FORMER
Fast and customizable framework for automatic ML model creation (AutoML)
Papers and datasets for Vibration Analysis
Repository of course materials for a multi-day course on machine learning for tabular data using Scikit-Learn and XGBoost
Data Science projects on various problem statements and datasets using Data Analysis, Machine Learning Algorithms, Deep Learning Algorithms, Natural Language Processing, Business Intelligence concepts...
1st place solution of RSNA Screening Mammography Breast Cancer Detection competition on Kaggle: https://www.kaggle.com/competitions/rsna-breast-cancer-detection
This repository contains notes and projects of Data scientist track from dataquest course work.