SebDub

SebDub's Stars

• ageron/handson-ml2

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook28.3k65851412.8k

• benfred/implicit

  Fast Python Collaborative Filtering for Implicit Feedback Datasets

  Language:Python3.6k77497613

• CamDavidsonPilon/lifelines

  Survival analysis in Python

  Language:Python2.4k70971562

• AlexIoannides/pyspark-example-project

  Implementing best practices for PySpark ETL jobs and applications.

  Language:Python1.7k5518728

• CamDavidsonPilon/lifetimes

  Lifetime value in Python

  Language:Python1.5k53300376

• avehtari/BDA_R_demos

  Bayesian Data Analysis demos for R

  Language:HTML571371206

• FrankPortman/bayesAB

  🐢 bayesAB: Fast Bayesian Methods for A/B Testing

  Language:R308212041

• mplatzer/BTYDplus

  R package for Customer Behavior Analysis

  Language:R186355448

• angelabassa/data-science-competency-matrix

  1258035

• AlexIoannides/pymc-example-project

  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

  Language:Jupyter Notebook1065118

• erwtokritos/keras-glove

  Implementation of GloVe in Keras

  Language:Python45748

• lordgrilo/AML-days-TDA-tutorial

  Language:Jupyter Notebook294022

• erwtokritos/JGloVe

  A Java implementation of the GloVe algorithm

  Language:Java162310

• hamedrazavi/pyspark_amld2019

  Workshop materials for AMLD2019 on PySpark.

  Language:Jupyter Notebook10108

• srmcc/survival_factor_model

  Language:Python3200