Merge branch 'master' into readme_improvements

.gitpod.yml

@@ -1,19 +1,15 @@
-image:
-  file: .gitpod.Dockerfile
-
 tasks:
   - init: pip install -r ./requirements.txt
 
 vscode:
   extensions:
-    - almenon.arepl@2.0.1:JWXhed/Ti1CHdOqmOfP5wg==
-    - dendron.dendron-markdown-preview-enhanced@0.10.22:iKz57LDwKh6E4XlWzcsIVA==
+    - almenon.arepl
+    - ms-toolsai.jupyter
 
 github:
     prebuilds:
-        # enable for the master/default branch (defaults to true)
         master: true
-        # enable for pull requests coming from this repo (defaults to true)
         pullRequests: true
-        # add a "Review in Gitpod" button as a comment to pull requests (defaults to true)
-        addComment: true
+        addCheck: true
+        addBadge: true
+        pullRequestsFromForks: true

Contributing.md

@@ -106,6 +106,17 @@ Now submit the pull request.
 
 Soon I'll be merging all your changes into the master branch of this project. You will get a notification email once the changes have been merged.
 
+## Contributing new algorithms
+
+- Make your pull requests to be **specific** and **focused**. Instead of contributing "several algorithms" all at once contribute them all one by one separately (i.e. one pull request for "Logistic Regression", another one for "K-Means" and so on).
+
+- Every new algorithm must have:
+  - **Source code** with comments and readable namings
+  - **Math** being explained in README.md along with the code
+  - **Jupyter demo notebook** with example of how this new algorithm may be applied
+
+If you're adding new **datasets** they need to be saved in the `/data` folder. CSV files are preferable. The size of the file should not be greater than `30Mb`.
+
 ## Where to go from here?
 
 Congrats! You just completed the standard _fork -> clone -> edit -> PR_ workflow that you'll encounter often as a contributor!

DIRECTORY.md

@@ -65,6 +65,7 @@
     * [Scikit-Learn](https://github.com/TheAlgorithms/Jupyter/blob/master/machine_learning/Scikit-learn/Scikit-learn.ipynb)
   * Support Vector Machine
     * [Support Vector Machine](https://github.com/TheAlgorithms/Jupyter/blob/master/machine_learning/Support_Vector_Machine/Support%20Vector%20Machine.ipynb)
+  * [Bayesian Belief Network](./machine_learning/bayesian_belief_networks.ipynb)
 
 ## Neural Network
   * [02-Imdb-Binary-Classification](https://github.com/TheAlgorithms/Jupyter/blob/master/neural_network/02-imdb-binary-classification.ipynb)