skasch / fundamentals-of-statistics
Notes on Fundamentals of Statistics course
☆15Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for fundamentals-of-statistics
- Community based cheatsheet for the MITx course 18.6501x Fundamentals of Statistics☆43Updated 4 years ago
- Notes for 18.6501x, Fundamentals of Statistics on edX☆91Updated 2 years ago
- EdX course from MIT on machine learning 6.86x☆11Updated 3 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
- Probability - The Science of Uncertainty and Data☆33Updated 6 years ago
- MITx: 6.86x Machine Learning with Python: from Linear Models to Deep Learning☆16Updated 5 years ago
- ☆10Updated 4 years ago
- CheatSheet for 18.6501x☆26Updated 4 years ago
- Project code for MIT MOOC 6.86x on edX☆16Updated 4 years ago
- Python code written for MIT's Machine Learning course offered on edX☆123Updated 5 years ago
- This is the first cheat-sheet for the MITx Statistics and Datascience capstone exam☆37Updated 4 years ago
- The MOOCs I learnt myself. The repo is kept as a record for myself.☆8Updated last year
- Data Analysis: Statistical Modeling and Computation in Applications☆47Updated 3 years ago
- MITx 6.86x | Machine Learning with Python | From Linear Models to Deep Learning☆33Updated 2 years ago
- Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning☆300Updated 11 months ago
- Course 4 of 4 in the MITx MicroMasters program in Statistics and Data Science☆33Updated 5 years ago
- CheatSheet for 6.431x☆16Updated 3 years ago
- Practical content from 6.419 - Data Analysis: Statistical Modeling and Computation in Applications course from the MicroMasters in Statis…☆10Updated 3 years ago
- Supplemental resources for courses in the MITx MicroMasters Program in Statistics and Data Science☆44Updated 2 years ago
- This is the second cheatsheet for the MITx capstone exams for Statistics and Datascience☆23Updated 3 years ago
- Fundamentals of Statistics☆39Updated 3 years ago
- Code of the solutions of the Mathematics for Machine Learning course taught in Coursera.☆140Updated 3 years ago
- Labs and Project from the course "How to Win a Data Science Competition: Learn from Top Kagglers"☆141Updated 5 years ago
- Welcome to 6.86x Machine Learning with Python–From Linear Models to Deep Learning. Machine learning methods are commonly used across eng…☆12Updated 4 years ago
- This is a collection of all the inofficial study groups in the Statistics and Data Science MicroMasters. If you find another group, pleas…☆19Updated 2 years ago
- Probability - The Science of Uncertainty and Data☆106Updated 5 years ago
- UCSanDiegoX edX Course DSE210x Statistics and Probability in Data Science using Python☆61Updated 6 years ago
- Data Science MicroMasters Program from UC San Diego on edX☆19Updated 4 years ago