davidsasser

davidsasser's Stars

• petermartens98/MLB-Analytics-Pipeline

  This Python project scrapes and cleans MLB data, using pivot tables to visualize scenarios such as home vs away or opponents. It models and visualizes statistical trends, including regression analysis and league leaders, for any specified statistic and scenario. Detailed analysis of individual and team performances is provided.

  Language:Jupyter Notebook3

• petermartens98/NFL-Data-ETL-and-Statistical-Automization-

  Continuing jupyter notebook that automates the collection of the latest NFL data and perform relevant analysis and visualizations based on the desired statistic.

  Language:Jupyter Notebook2

• petermartens98/NBA-Analytics-Pipeline

  Python ETL Pipeline that web-scrapes up-to-date NBA data from multiple sources, then statistically analyzes and visualizes into multiple team, player and league-wide reports.

  Language:Jupyter Notebook71

• pytorch/ios-demo-app

  PyTorch iOS examples

  Language:Swift599190

• ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide

  Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

  7.5k1k

• d5b94396feba3/Machine-Learning-Algorithm-and-Code

  ML algorithm of Logistic regression, Linear regression, KNN, K-means, Naive-bayes, Decision Tree

  Language:Jupyter Notebook21

• ujjwalkarn/DataSciencePython

  common data analysis and machine learning tasks using python

  Language:Python5.3k1.5k

• ujjwalkarn/Machine-Learning-Tutorials

  machine learning and deep learning tutorials, articles and other resources

  15.5k3.8k

• public-apis/public-apis

  A collective list of free APIs

  Language:Python317k33.8k

• AdilBaaj/unsupervised-image-retrieval

  Unsupervised image retrieval on MNIST dataset using a convolutional autoencoder

  Language:Python4822

• practical-tutorials/project-based-learning

  Curated list of project-based tutorials

  203k26.5k