INTRODUCTION TO DATA SCIENCE 4
- Lecture1.1
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Fundamentals of Math and Probability 6
INTRODUCTION TO STATISTICS
- Lecture2.1
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Descriptive Statistics 4
- Lecture3.1
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Inferential Statistics 17
- Lecture4.1
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Hypothesis Testing 6
- Lecture5.1
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Introduction to Machine Learning 6
UNDERSTANDING AND IMPLEMENTING MACHINE LEARNING
- Lecture6.1
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Linear Regression 6
- Lecture7.1
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Logistic Regression 7
- Lecture8.1
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Decision Trees 10
- Lecture9.1
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Unsupervised Learning 10
- Lecture10.1
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R Basics, background 4
PART C – R PROGRAMMING
- Lecture11.1
- Lecture11.2
- Lecture11.3
- Lecture11.4
Getting familiar with basics 3
- Lecture12.1
- Lecture12.2
- Lecture12.3
The R Programming Language- Data Types 2
- Lecture13.1
- Lecture13.2
Functions And Importing data into R 4
- Lecture14.1
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- Lecture14.3
- Lecture14.4
Data Descriptive Statistics, Tabulation, Distribution 1
Graphics in R – Types of graphics 2
R – Machine Learning Libraries/ Packages 7
- Lecture17.1
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PYTHON PANDAS 23
- Lecture18.1
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Python ML Libraries – Introduction 3
- Lecture19.1
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- Lecture19.3
Real Time Project 0
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Importance of Data Science
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64 Comments
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