Complete Probability And Statistics For Machine Learning By Spotle.ai
This Spotle.ai Masterclass, by top academicians, makes your fundamental skills strong for machine learning.
Updated on Apr, 2024
Language - English
Statistics,Probability,Data Science and AI ML,Machine Learning
Lectures -33
Duration -3 hours
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Course Description
Probability and statistics lies at the core of machine learning. This course, designed by top academicians, is for helping you build your fundamentals strong in probability and statistics, which are essential in the field of machine learning. A career in machine learning is something that many people are aspiring and preparing for. This course is designed for the enthusiasts to give a 360 degree coverage. The course will help you learn the essentials skills, as well help you solve complex business problems. For the enthusiasts who want to make it big into machine learning, this course gives an ideal learning experience.
We understand the value of your time. All Spotle.ai courses are compact and to the point. So that you can learn quickly and give more time to applications building. Get ready for the experiential learning.
Goals
What will you learn in this course:
Basic statistics and its applications
Basic statistics and data visualization using python
Probability, conditional probability and Bayes theorem
Random variables
Probability distribution using Python programming language
Measuring central tendency
Measuring skewness and kurtosis
Statistical estimation
Missing data imputation
Prerequisites
What are the prerequisites for this course?
- In this course we start from scratch.
- It assumes you have the basic understanding of Python programming language as we have worked with data hands-on using Python.
Curriculum
Check out the detailed breakdown of what’s inside the course
Basic Statistics
7 Lectures
-
Statistics And Its Applications
05:08
05:08
-
Types Of Variables And Scales
07:51
07:51
-
Describing Data
06:36
06:36
-
Distribution And Measure Of Central Tendency
05:24
05:24
-
Measure Of Dispersion
04:14
04:14
-
Skewness And kurtosis
06:25
06:25
-
Box And Whisker Plot, Scatter Plot And Correlation Coefficient
04:38
04:38
The NumPy Library - Recap
2 Lectures
Data Manipulation With Pandas Library - Recap
5 Lectures
Data Visualization With Python
3 Lectures
Dealing With Missing Data
2 Lectures
Probability
3 Lectures
Random Variables
8 Lectures
Statistical Inference
3 Lectures
Instructor Details
Spotle Learn
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