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.
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...
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
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...
Fast and customizable framework for automatic and quick Causal Inference in Python
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...
Fast and customizable framework for automatic and quick Causal Inference in Python
Fast and customizable framework for automatic ML model creation (AutoML)
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.
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 searchable compilation of Kaggle past solutions
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...
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...
Fast and customizable framework for automatic and quick Causal Inference in Python
Health Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease, and Cancer.
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
1th: Kaggle Jane Street Market Prediction: AE MLP+xgb
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
1th: Kaggle Jane Street Market Prediction: AE MLP+xgb
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
Health Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease, and Cancer.
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.
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, 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 searchable compilation of Kaggle past solutions
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...
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...
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...
Practices on data analysis including: cleaning, visualization and EDA on different datasets using Python, SQL, Power BI, etc.
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.
Machine learning models to predict realtime financial market data provided by Jane Street
Fast and customizable framework for automatic and quick Causal Inference in Python
The project involves training a machine learning model (K Neighbors Classifier) to predict whether someone is suffering from a heart disease with 87% accuracy.
1th: Kaggle Jane Street Market Prediction: AE MLP+xgb
Practices on data analysis including: cleaning, visualization and EDA on different datasets using Python, SQL, Power BI, etc.
Machine learning models to predict realtime financial market data provided by Jane Street
A self-generalizing gradient boosting machine which doesn't need hyperparameter optimization
1th: Kaggle Jane Street Market Prediction: AE MLP+xgb
AI-Generated Text Detection: A BERT-powered solution for accurately identifying AI-generated text. Seamlessly integrated, highly accurate, and user-friendly.🚀
a way to SSH into Kaggle. If you don't like ngrok because of CC, checkout zrok branch which dose not require CC
The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.
Fast and customizable framework for automatic and quick Causal Inference in Python
Instructions for connecting SSH between Kaggle and Visual Studio Code
Fast and customizable framework for automatic ML model creation (AutoML)
Analysis of top give winning solutions of the ASHRAE Great Energy Predictor III competition
The project involves training a machine learning model (K Neighbors Classifier) to predict whether someone is suffering from a heart disease with 87% accuracy.
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
Health Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease, and Cancer.
A self-generalizing gradient boosting machine which doesn't need hyperparameter optimization
1st Place Solution for LLM - Detect AI Generated Text Kaggle Competition
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...
a way to SSH into Kaggle. If you don't like ngrok because of CC, checkout zrok branch which dose not require CC
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
1st Place Solution for LLM - Detect AI Generated Text Kaggle Competition
DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.
Fast and customizable framework for automatic and quick Causal Inference in Python
Practices on data analysis including: cleaning, visualization and EDA on different datasets using Python, SQL, Power BI, etc.
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
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...
Stable-Diffusion-WebUI - NoteBook | Colab (Pro/Free), Kaggle.
goto_conversion and efficient_shin_conversion (faster Shin's method)
The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.
Fast and customizable framework for automatic ML model creation (AutoML)
Machine learning models to predict realtime financial market data provided by Jane Street
(AAAI 2023 oral) Original implementation and experiment results of T2G-FORMER
Introduction page of a challenging text-to-SQL dataset: KaggleDBQA
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
This repository contains notes and projects of Data scientist track from dataquest course work.