mynameisjanus / 14310xDataAnalysisLinks
CheatSheet for 14.310x
☆11Updated 5 years ago
Alternatives and similar repositories for 14310xDataAnalysis
Users that are interested in 14310xDataAnalysis are comparing it to the libraries listed below
Sorting:
- CheatSheet for 6.431x☆16Updated 4 years ago
- CheatSheet for 18.6501x☆26Updated 5 years ago
- Introduction to ML packages for the 6.86x course☆389Updated 5 years ago
- This is the first cheat-sheet for the MITx Statistics and Datascience capstone exam☆40Updated 5 years ago
- Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar☆523Updated 11 months ago
- CheatSheet for 6.86x☆22Updated 4 years ago
- Community based cheatsheet for the MITx course 18.6501x Fundamentals of Statistics☆44Updated 5 years ago
- Project code for MIT MOOC 6.86x on edX☆15Updated 5 years ago
- This is the second cheatsheet for the MITx capstone exams for Statistics and Datascience☆24Updated 3 years ago
- Notes for 18.6501x, Fundamentals of Statistics on edX☆96Updated 2 years ago
- ☆114Updated 3 years ago
- ☆10Updated 5 years ago
- Data Analysis: Statistical Modeling and Computation in Applications☆57Updated 4 years ago
- Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning☆322Updated last year
- These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.☆338Updated 4 years ago
- Bayesian statistical modelling using numpy and PyMC3. Telling stories using the language of probability. And more!☆16Updated 6 years ago
- Supplemental resources for courses in the MITx MicroMasters Program in Statistics and Data Science☆47Updated 3 years ago
- Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic☆508Updated 2 years ago
- Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.☆181Updated 11 months ago
- Bayesian statistics graduate course☆356Updated 8 months ago
- An in-depth exploration to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-o…☆9Updated 5 years ago
- Getting started☆18Updated 5 years ago
- Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.☆336Updated 11 months ago
- Repository for data science book☆1,161Updated 4 months ago
- Python code written for MIT's Machine Learning course offered on edX☆123Updated 5 years ago
- ☆11Updated 5 months ago
- Course 4 of 4 in the MITx MicroMasters program in Statistics and Data Science☆34Updated 5 years ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆210Updated 2 months ago
- El objetivo de este repositorio es brindar un apoyo a la comunidad interesada en mejorar sus técnicas en el lenguaje de programación R o …☆88Updated 2 years ago
- Fundamental Python workshop, proudly presented by the UCL Data Science Society☆47Updated 3 years ago