05 basics Of Data Science , reinforcement learning, supervised learning,unsupervised learning

Link to SMS SPAM and HAM datasets

https://drive.google.com/file/d/1OKIOdc3zdMuHcfuSeQf5CvsUmDl7drc-/view

This Video explains the basics of DataScience . Basics Include :
Machine Learning Or DataScience Algorithms can be defined into three Categories :
1. reinforcement learning :
In reinforcement
learning, the goal is to develop a system (agent) that improves its performance based
on interactions with the environment. Since the information about the current state
of the environment typically also includes a so-called reward signal

2. supervised learning :
The main goal in supervised learning is to learn a model from labeled training data
that allows us to make predictions about unseen or future data

3.unsupervised learning : Clustering is an exploratory data analysis technique that allows us to organize a
pile of information into meaningful subgroups (clusters) without having any prior
knowledge of their group memberships. Each cluster that arises during the analysis
defines a group of objects that share a certain degree of similarity but are more
dissimilar to objects in other clusters, which is why clustering is also sometimes
called unsupervised classification.

Видео 05 basics Of Data Science , reinforcement learning, supervised learning,unsupervised learning канала InventzAI (AI for Everyone)