Machine Learning Tutorial Part-2| Introduction to Machine Learning & Descriptive Stats| GreyAtom

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Welcome to the #DataScienceFridays Rohit Ghosh, a deep learning scientist, and an Instructor at GreyAtom will take us through descriptive statistics through a simple introduction series. Descriptive Statistics is a way of understanding what the data is trying to tell you. Since the primary application of Machine Learning is making ‘predictions’ based on large datasets, Descriptive Statistics comes in handy.

Study Descriptive Statistics in Machine Learning through this simple introduction for beginners.

This is the first 3 videos about Descriptive Statistics in Machine Learning.

In this video, we will explore ‘Measures of Central Tendency’ in Descriptive Statistics.

Complete Playlist for the Course:
[Link]

After completing our 3-part Series on Descriptive Statistics, you will be able to do the following

- Learn different types of data
- Summarize the data visually
- Calculate different characteristics of data like central tendency, dispersion, and distribution
- Identify the relationship between variables

Here’s the full syllabus of our 3-part video tutorial on Descriptive Statistics in Machine Learning for beginners:

1. Measures of Central Tendency
2. Definition of Measures of Central Tendency
3. Mean, Mode, and Median
4. Basic Statistics for Machine Learning
5. Histogram & Measures of Dispersion
6. Measures of Dispersion
7. What is z-score in Statistics
8. What is Variance and Standard Deviation in Statistics
9. Correlation
10. Correlation Statistics
11. What is Correlation Coefficient
12. Correlation in Statistics Explained

#machinelearningtutorial #DataScience101 #GreyAtom

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