| Yorko/mlcourse.ai |
9,213 |
|
0 |
0 |
over 2 years ago |
0 |
|
11 |
other |
Python |
| Open Machine Learning Course |
| justmarkham/DAT8 |
1,549 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| General Assembly's 2015 Data Science course in Washington, DC |
| dmpe/R |
472 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
mit |
R |
| Exercises (incl. analyses) with R language (math+statistics) |
| prateekiiest/Code-Sleep-Python |
391 |
|
0 |
0 |
over 3 years ago |
0 |
|
5 |
mit |
Python |
| Awesome Projects in Python - Machine Learning Applications, Games, Desktop Applications all in Python :snake: |
| lijqhs/deeplearning-notes |
194 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
mit |
|
| Notes for Deep Learning Specialization Courses led by Andrew Ng. |
| briatte/ida |
179 |
|
0 |
0 |
almost 9 years ago |
0 |
|
13 |
|
R |
| Introduction to Data Analysis, using R (2013) |
| lgatto/TeachingMaterial |
161 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
HTML |
| Various teaching material |
| GeoCenter/StataTraining |
156 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
other |
HTML |
| Stata & R code for course on the fundamentals of data analysis and visualization |
| CompPhysics/MachineLearning |
146 |
|
0 |
0 |
over 2 years ago |
0 |
|
7 |
cc0-1.0 |
|
| Course on Machine Learning and Statistical data Analysis with book at https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/intro.html. Contains Linear and Logistic Regression, Neural Networks and Deep Learning methods, Decision Trees, Random forests, Boosting methods and other ensemble methods, support vector machines and central unsupervised learning algorithms. |
| DeltaAnalytics/machine_learning_for_good |
145 |
|
0 |
0 |
about 5 years ago |
0 |
|
1 |
cc-by-4.0 |
Jupyter Notebook |
| Machine learning fundamentals lesson in interactive notebooks |
