Alternatives and similar repositories for pdf-dump

Users that are interested in pdf-dump are comparing it to the libraries listed below

• qx0731 / Sharing_ISL_python
  An Introduction to Statistical Learning with Applications in PYTHON
  ☆549Updated 3 years ago
• a-martyn / ISL-python
  Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
  ☆339Updated last year
• shilpa9a / Introduction_to_statistical_learning_summary_python
  Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.
  ☆185Updated last year
• empathy87 / The-Elements-of-Statistical-Learning-Python-Notebooks
  A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
  ☆901Updated 4 years ago
• jcrouser / islr-python
  ☆110Updated 4 years ago
• maitbayev / the-elements-of-statistical-learning
  My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…
  ☆419Updated last week
• PacktPublishing / Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn
  Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
  ☆212Updated 3 weeks ago
• emredjan / ISL-python
  Porting the R code in ISL to python. Labs and exercises
  ☆201Updated 3 years ago
• ml874 / Cracking-the-Data-Science-Interview
  Cracking the Data Science Interview
  ☆361Updated 5 years ago
• inahpatrizia / isye_6740
  Homework assignments for ISYE 6740 Computational Data Analysis (Spring 2022)
  ☆12Updated 3 years ago
• Harvard-IACS / 2020-CS109A
  ☆115Updated 3 years ago
• PacktPublishing / Python-Feature-Engineering-Cookbook
  Python Feature Engineering Cookbook, published by Packt
  ☆481Updated 2 years ago
• VSerpak / DSE210x-Statistics-and-Probability-in-Data-Science-using-Python
  UCSanDiegoX edX Course DSE210x Statistics and Probability in Data Science using Python
  ☆60Updated 7 years ago
• TraceMyers / mitx-stats-notes
  Notes for 18.6501x, Fundamentals of Statistics on edX
  ☆96Updated 3 years ago
• PacktPublishing / Hands-On-Data-Science-for-Marketing
  Hands-On Data Science for Marketing, published by Packt
  ☆251Updated 4 months ago
• AlessandroCorradini / Stanford-University-Statistical-Learning
  Repo for Statistical Learning course offered by Stanford University
  ☆50Updated 6 years ago
• PacktPublishing / Python-Data-Analysis-Third-Edition
  Python Data Analysis, Third Edition, Published by Packt
  ☆208Updated 3 weeks ago
• Harvard-IACS / 2021-CS109A
  ☆140Updated 3 years ago
• Pierian-Data / ISLR-python
  An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
  ☆86Updated 9 years ago
• PacktPublishing / Interpretable-Machine-Learning-with-Python
  Interpretable Machine Learning with Python, published by Packt
  ☆471Updated 3 weeks ago
• Pegah-Ardehkhani / Statistics-and-Probability-in-Python
  A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python
  ☆146Updated 6 months ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆280Updated 8 years ago
• tirthajyoti / Stats-Maths-with-Python
  General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
  ☆965Updated 3 years ago
• AllenDowney / ElementsOfDataScience
  An introduction to data science in Python, for people with no programming experience.
  ☆443Updated 4 months ago
• blechturm / cheatsheet-18.6501x
  Community based cheatsheet for the MITx course 18.6501x Fundamentals of Statistics
  ☆44Updated 5 years ago
• PacktPublishing / Pandas-Cookbook-Second-Edition
  Pandas Cookbook Second Edition, published by Packt
  ☆293Updated 2 years ago
• MMBazel / Springboard-DataScienceTrack-Student
  Springboard Program: Data Science Career Track - NLP
  ☆149Updated 4 years ago
• shervinea / stanford-cme-106-probability-and-statistics
  VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
  ☆783Updated 5 years ago
• trenton3983 / DataCamp
  Python-based Jupyter notebooks, notes, and project solutions from DataCamp courses on data science, machine learning, and statistics.
  ☆92Updated last year
• hpcgarage / prymer
  A Python primer for Georgia Tech's CSE 6040/x: Computing for Data Analysis
  ☆31Updated 3 years ago