blechturm / MITx_capstone_2Links
This is the second cheatsheet for the MITx capstone exams for Statistics and Datascience
☆24Updated 3 years ago
Alternatives and similar repositories for MITx_capstone_2
Users that are interested in MITx_capstone_2 are comparing it to the libraries listed below
Sorting:
- This is the first cheat-sheet for the MITx Statistics and Datascience capstone exam☆40Updated 5 years ago
- Community based cheatsheet for the MITx course 18.6501x Fundamentals of Statistics☆44Updated 5 years ago
- Notes for 18.6501x, Fundamentals of Statistics on edX☆96Updated 2 years ago
- CheatSheet for 18.6501x☆26Updated 5 years ago
- Introduction to ML packages for the 6.86x course☆389Updated 5 years ago
- Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning☆322Updated last year
- CheatSheet for 14.310x☆11Updated 5 years ago
- Project code for MIT MOOC 6.86x on edX☆15Updated 5 years ago
- Data Analysis: Statistical Modeling and Computation in Applications☆57Updated 4 years ago
- ☆114Updated 3 years ago
- Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.☆181Updated 11 months ago
- Python code written for MIT's Machine Learning course offered on edX☆123Updated 5 years ago
- Supplemental resources for courses in the MITx MicroMasters Program in Statistics and Data Science☆47Updated 3 years ago
- Bayesian statistics graduate course☆356Updated 8 months ago
- Jupyter notebooks for our O'Reilly book "Blueprints for Text Analysis Using Python"☆260Updated last year
- Porting the R code in ISL to python. Labs and exercises☆199Updated 2 years ago
- ISLP package: data and code for labs☆150Updated 6 months ago
- Machine learning in Python with scikit-learn MOOC☆1,243Updated last week
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆415Updated 3 years ago
- Fundamentals of Statistics☆44Updated 3 years ago
- Cracking the Data Science Interview☆354Updated 5 years ago
- Fundamental Python workshop, proudly presented by the UCL Data Science Society☆47Updated 3 years ago
- ☆10Updated 5 years 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
- VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers☆760Updated 4 years ago
- Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python☆940Updated 2 years ago
- Python-centered read-along of Forecasting: Principles and Practice☆505Updated 9 months ago
- ☆140Updated 3 years ago
- An Introduction to Statistical Learning with Applications in PYTHON☆542Updated 3 years ago
- ☆72Updated last year