Update README.md (#970)

<!-- If this is your first pull request: sign the CLA with this GitHub
app: https://cla-assistant.io/renovatebot/renovate -->
<!-- Make sure the `Allow edits and access to secrets by maintainers`
checkbox is checked on this pull request. -->
<!-- Please read
https://github.com/renovatebot/renovate/blob/main/.github/contributing.md
before you create your pull request.-->

## Changes

<!-- Describe what behavior is changed by this PR. -->

## Context

<!-- Describe why you're making these changes if it's not already
explained in a corresponding issue. -->
<!-- If you're closing an existing issue with this pull request, use the
keyword Closes #issue_number. -->
<!-- If you're referencing an issue with this pull request, put it in a
Markdown list like this: - #issue_number. -->

## Documentation (please check one with an [x])

- [ ] I have updated the documentation, or
- [ ] No documentation update is required

## How I've tested my work (please select one)

I have verified these changes via:

- [ ] Code inspection only, or
- [ ] Newly added/modified unit tests, or
- [ ] No unit tests but ran on a real repository, or
- [ ] Both unit tests + ran on a real repository

<!-- Do you have any suggestions about this PR template? Edit it here:
https://github.com/renovatebot/renovate/edit/main/.github/pull_request_template.md
-->

<!-- Please do not force push to your PR's branch after you have created
your PR, as doing so forces us to review the whole PR again. This makes
it harder for us to review your work because we don't know what has
changed. -->
<!-- PRs will always be squashed by us when we merge your work. Commit
as many times as you need in this branch. -->

README.md

@@ -145,6 +145,19 @@ Below is a list of **23 projects** developed using **Orange**:
 7. **Data Preprocessing and Cleaning**
    - **Description**: Clean and transform data to prepare it for modeling.
    - **Objectives**: Ensure data quality before model use.
+8. **Sentiment Analysis**
+   - **Description**: Analyze sentiment in textual data and visualize word frequency.
+   - **Objectives**: Identify sentiment patterns in texts.
+
+9. **Regression Analysis**
+   - **Description**: Apply regression models to predict continuous variables.
+   - **Objectives**: Predict continuous values based on independent variables.
+
+10. **Decision Trees**
+    - **Description**: Create and visualize decision trees for classification or regression.
+    - **Objectives**: Explain decision-making based on hierarchical rules.
+
+