Mastering Probability and Statistics in Python - (Full Video: Series 2)

Mastering Probability and Statistics in Python. we will discuss the connection between conditional probability and machine learning.

In this episode, we will discuss the connection between conditional probability and machine learning.

⭐️ Course Contents ⭐️ PART 1: ⌨️ (0:00:47) Probability Model: Conditioning

PART 2: ⌨️ (0:21:08) Random Variables: Real Data Sets

python machine-learning data-science developer artificial-intelligence

Artificial Intelligence (AI) vs Machine Learning vs Deep Learning vs Data Science: Artificial intelligence is a field where set of techniques are used to make computers as smart as humans. Machine learning is a sub domain of artificial intelligence where set of statistical and neural network based algorithms are used for training a computer in doing a smart task. Deep learning is all about neural networks. Deep learning is considered to be a sub field of machine learning. Pytorch and Tensorflow are two popular frameworks that can be used in doing deep learning.

🔵 Intellipaat Data Science with Python course: https://intellipaat.com/python-for-data-science-training/In this Data Science With Python Training video, you...

Practice your skills in Data Science with Python, by learning and then trying all these hands-on, interactive projects, that I have posted for you.

Practice your skills in Data Science with Python, by learning and then trying all these hands-on, interactive projects, that I have posted for you.

Practice your skills in Data Science with Python, by learning and then trying all these hands-on, interactive projects, that I have posted for you.