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, AWS, and various command lines.

Data science Python notebooks—a collection of Jupyter notebooks on machine learning, deep learning, statistical inference, data analysis and visualization.

Jupyter Notebooks for Ollama integration

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Insurance Data Notebook

Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook

Stable Diffusion Web UI Notebook

My public Kaggle notebooks

A collection of notebooks of my Machine Learning class written in python 3

Training RAVE, vschaos2, MSPrior and RAVE Latent Diffusion models on Kaggle or Colab

My_homebrewed_NOTEBOOKS is a GitHub repository that houses a collection of personal notebooks derived from various sources, including Kaggle and Jupyter Notebooks. This repository serves as a curated collection of notebooks created and customized by the repository owner, providing a valuable resource for learning and exploring different topics.

CNN digit recognizer implemented in Keras Notebook, Kaggle/MNIST (0.995).

A collection of Data Science Jupyter notebook (reference material)

Run any Jupyter notebook instantly using Kaggle kernels

All my Kaggle Notebooks that I've published

Tackling the kaggle problem of Facial Expression Recognition Challenge

Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets

A curated collection of machine learning resources, including notebooks, code, and books, all of which are either free or open-source

预测rossmann1115家商店未来的销售额

Allstate Kaggle Competition ML Capstone Project