Alternatives and similar repositories for 2021-CS109A

Users that are interested in 2021-CS109A are comparing it to the libraries listed below

• trenton3983 / DataCamp
  Python-based Jupyter notebooks, notes, and project solutions from DataCamp courses on data science, machine learning, and statistics.
  ☆92Updated last year
• PacktPublishing / Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn
  Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
  ☆213Updated last month
• Pegah-Ardehkhani / Statistics-and-Probability-in-Python
  A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python
  ☆146Updated 7 months ago
• ml874 / Cracking-the-Data-Science-Interview
  Cracking the Data Science Interview
  ☆361Updated 5 years ago
• PacktPublishing / Hands-on-Exploratory-Data-Analysis-with-Python
  Hands-on Exploratory Data Analysis with Python, published by Packt
  ☆836Updated 2 years ago
• solegalli / feature-engineering-for-machine-learning
  Code repository for the online course Feature Engineering for Machine Learning
  ☆404Updated last year
• MrGeislinger / flatiron-school-data-science-curriculum-resources
  Lesson material on data science and machine learning topics/concepts
  ☆151Updated 4 years ago
• PacktPublishing / Hands-On-Data-Preprocessing-in-Python
  Hands-On Data Preprocessing in Python, published by Packt
  ☆203Updated last month
• youssefHosni / Hands-On-Time-Series-Analysis-with-Python
  Practical guidance for time series analysis in Python
  ☆316Updated 2 months ago
• sharmaroshan / Statistics-for-Data-Science
  Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to …
  ☆185Updated last year
• catherinenelson1 / SEforDS
  Code for the book "Software Engineering for Data Scientists"
  ☆101Updated this week
• jsulopzs / resolving-machine-learning-python
  ☆93Updated 2 years ago
• PacktPublishing / Python-Data-Analysis-Third-Edition
  Python Data Analysis, Third Edition, Published by Packt
  ☆208Updated last month
• koaning / calm-notebooks
  notebooks that are used at calmcode.io
  ☆317Updated 4 years ago
• MMBazel / Springboard-DataScienceTrack-Student
  Springboard Program: Data Science Career Track - NLP
  ☆150Updated 4 years ago
• ozlerhakan / datacamp
  🍧 DataCamp data-science and machine learning courses
  ☆400Updated last year
• 5x12 / themlsbook
  This repository is a supplement to the 'Machine Learning Simplified: A Gentle Introduction to Supervised Learning' book.
  ☆428Updated last year
• Harvard-IACS / 2020-CS109A
  ☆115Updated 3 years ago
• BexTuychiev / tricking-data-science
  A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
  ☆169Updated last year
• econcarol / ISLR
  R and Python solutions to applied exercises in An Introduction to Statistical Learning with Applications in R (corrected 7th printing)
  ☆15Updated 4 months ago
• Aswinramesh04 / 100-Days-of-DataScience
  Greetings! 👋 I'm Loga Aswin, diving into a 100-day data science immersion from Python fundamentals to real-world applications. This spac…
  ☆205Updated last year
• DerekKane / Use-Cases-Data-Science
  A list of working examples of Data Science Use Cases and Applications by Industry
  ☆64Updated 5 years ago
• mdozmorov / MachineLearning_notes
  Machine learning and deep learning resources
  ☆557Updated last month
• khuyentran1401 / khuyentran1401
  ☆49Updated last week
• isaacfab / data-science-road-map
  A roadmap for those looking to start or expand a career in the data community
  ☆303Updated 2 months ago
• youssefHosni / Efficient-Python-for-Data-Scientists-Book
  Official Repo for the Efficient Python for Data Scientists Book. You can buy the book from here:
  ☆573Updated 8 months ago
• PacktPublishing / Machine-Learning-Engineering-with-Python
  Machine Learning Engineering with Python
  ☆185Updated last month
• a-martyn / ISL-python
  Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
  ☆344Updated last year
• sagardevaraju / Linear-Algebra-for-Machine-Learning-and-Data-Science
  Notebooks and notes from going through Deeplearning.AI's linear algebra course
  ☆62Updated 2 years ago
• sylvaticus / MITx_6.86x
  Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning
  ☆331Updated last year