Udemy - Statistics and Probability Essentials for Machine Learning torrent

Statistics and Probability Essentials for Machine Learning

https://DevCourseWeb.com

Published 4/2024
Created by Ganeshraj Shetty
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 14 Lectures ( 3h 8m ) | Size: 1.8 GB

Foundational Skills for Data Scientists using Python

What you'll learn:
Understand the fundamental concepts of probability theory, including probability distributions, random variables, and basic probability rules.
Learn how to summarize and describe datasets using measures such as mean, median, mode, variance, and standard deviation.
Dive into the fundamentals terminologies of Inferential statistics.
Explore probability distributions such as the Gaussian distribution and learn how to apply them to real-world problems.
Gain hands-on experience using Python libraries like NumPy, Pandas, and Matplotlib to perform statistical analysis, visualize data, and interpret results.
Understand the concepts of correlation and linear regression, and learn how to use Python to analyze relationships between variables and make predictions.
Build probability models for events and experiments, and simulate random processes using Python to understand stochastic phenomena.
Apply statistical and probabilistic concepts to real-world datasets and problems, developing the skills needed to tackle data analysis and decision-making tasks

Requirements:
Fundamentals of Mathematics and Python Programming