[TBD]Machine learning jargons explained

SKLearn

The sklearn library contains a lot of efficient tools for machine learning and statistical modeling including classification, regression, clustering and dimensionality reduction

Tensorflow

TensorFlow is an end-to-end open source platform for machine learning

Keras

Keras is compact, easy to learn, high-level Python library run on top of TensorFlow framework.

Google colab

Since 2017, Google made Colaboratory free for public use. Colaboratory is now known as Google Colab or simply Colab.

Another attractive feature that Google offers to the developers is the use of GPU. Colab supports GPU and it is totally free. The reasons for making it free for the public could be to make its software a standard in academics for teaching machine learning and data science.

Reference

https://www.analyticsvidhya.com/blog/2015/01/scikit-learn-python-machine-learning-tool/

https://www.tensorflow.org

https://www.tutorialspoint.com/tensorflow/tensorflow_keras.htm

https://medium.com/analytics-vidhya/welcome-to-google-colab-tricks-and-tweaks-part-2-54cef0cc7d2

https://www.tutorialspoint.com/google_colab/google_colab_tutorial.pdf