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@@ -4,13 +4,13 @@ A collection of lightweight Python wrappers based on Python4Delphi simplifying D
 This is an _early access preview_, but you are encouraged to try it out, file bug reports, and add features. [Read more](https://blogs.embarcadero.com/?p=145025) and catch the live stream.
 
 Currently includes:
-* Tensorflow
+* **Tensorflow** - Library for machine learning and artificial intelligence. 
 * **NumPy** - [[Demos](https://github.com/Embarcadero/P4D-Data-Sciences/tree/main/demos/NumPy)] Numerical library for working with large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these them. 
 * **PyTorch & PyTorch Vision** - [[Demos](https://github.com/Embarcadero/P4D-Data-Sciences/tree/main/demos/PyTorch)] For computer vision and natural language processing applications.
 * **MatPlotLib** - [[Demos](https://github.com/Embarcadero/P4D-Data-Sciences/tree/main/demos/MatplotLib)] Library for creating static, animated, and interactive visualizations.
 * **Natural Language Toolkit (NLTK)** - [Demos](https://github.com/Embarcadero/P4D-Data-Sciences/tree/main/demos/NLTK) Suite of libraries and programs for symbolic and statistical natural language processing (NLP) for English.
 * **OpenCV** - Library of programming functions mainly aimed at real-time computer vision
-* **Scikit-learn** - [Demos](https://github.com/Embarcadero/P4D-Data-Sciences/tree/main/demos/ScikitLearn) Machine learning library that features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN.
+* **Scikit-learn** - [[Demos](https://github.com/Embarcadero/P4D-Data-Sciences/tree/main/demos/ScikitLearn)] Machine learning library that features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN.
 
 Most packages have basic samples, but PyTorch has a very involed [Transfer Learning demonstration](https://github.com/Embarcadero/P4D-Data-Sciences/tree/main/demos/PyTorch/PyTorchTransferLearning).