Skip to content

Commit

Permalink
Merge pull request #4 from j3-signalroom/github_issue-3
Browse files Browse the repository at this point in the history
Completed Issue #3.
  • Loading branch information
j3-signalroom authored Jul 23, 2024
2 parents 1091147 + 44b8279 commit 4062b01
Showing 1 changed file with 16 additions and 1 deletion.
17 changes: 16 additions & 1 deletion README.md
Original file line number Diff line number Diff line change
@@ -1 +1,16 @@
# J3 ML/AI Education Experiences
# J3 ML/AI Education Experiences
During my excellent [Deep Atlas boot camp](https://deepatlas.ai) during the Summer of 2024, I had to complete several project notebooks. Below is a list of some of them:

## Shallow Learning
Shallow learning, also known as traditional machine learning, is a type of machine learning model with a simple structure that uses one or a few layers of processing units. These layers perform computations on input data, such as applying transformations or combining information from different sources. Examples of shallow learning models include linear regression, decision trees, logistic regression, and support vector machines.

### [Classification task type project notebook](shallow_learning/j3-shallow_learning_algorithms-classification.ipynb)
Shallow learning, also known as traditional machine learning, is a type of machine learning model with a simple structure that uses one or a few layers of processing units. These layers perform computations on input data, such as applying transformations or combining information from different sources. Examples of shallow learning models include linear regression, decision trees, logistic regression, and support vector machines.

Project Notebook demostrates the following shallow learning algorithms:
- [Naive Bayes classifiers](https://en.wikipedia.org/wiki/Naive_Bayes_classifier)
- [Linear Support Vector Machine classifier](https://en.wikipedia.org/wiki/Support_vector_machine#:~:text=In%20the%20case%20of%20support,is%20called%20a%20linear%20classifier)
- [XG Boost (eXtreme Gradient Boosting) classifier](https://www.nvidia.com/en-us/glossary/xgboost/)
- [Random Forest classifier](https://www.ibm.com/topics/random-forest)
- [Logistic Regression Model classifier](https://en.wikipedia.org/wiki/Logistic_regression#:~:text=The%20logistic%20regression%20model%20itself,than%20the%20cutoff%20as%20one)
- [Decision Tree classifier](https://www.ibm.com/topics/decision-trees#:~:text=A%20decision%20tree%20is%20a,internal%20nodes%20and%20leaf%20nodes)

0 comments on commit 4062b01

Please sign in to comment.