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TORRENT DETAILS
Udemy - Statistics And Probability Essentials For Machine Learning
TORRENT SUMMARY
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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
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FILE LIST
Filename
Size
~Get Your Files Here !/1. Introduction to Statistics.mp4
70 MB
~Get Your Files Here !/1.1 Probability and Statistics 1-Introduction to Statistics (1).pdf
26.8 KB
~Get Your Files Here !/10. Boxplot.mp4
156.9 MB
~Get Your Files Here !/10.1 Probability and Statistics 10 - Boxplot (1).pdf
153.9 KB
~Get Your Files Here !/11. KDE plot.mp4
188.9 MB
~Get Your Files Here !/11.1 Probability and Statistics 11 - Kernel Density Estimation plot (1).pdf
244.9 KB
~Get Your Files Here !/12. Covariance.mp4
158.3 MB
~Get Your Files Here !/12.1 Probability and Statistics 12 - Covariance (1).pdf
237.7 KB
~Get Your Files Here !/13. Correlation and Causation.mp4
184.9 MB
~Get Your Files Here !/13.1 Probability and Statistics 13 - Correlation and Causation (1).pdf
196.5 KB
~Get Your Files Here !/14. Introduction to Linear regression.mp4
206.4 MB
~Get Your Files Here !/14.1 Probability and Statistics 14 - Introduction to Linear Regression (1).pdf
159 KB
~Get Your Files Here !/2. Introduction to Inferential Statistics.mp4
105.8 MB
~Get Your Files Here !/2.1 Probability and Statistics 2 - Inferential Statistics (1).pdf
33.3 KB
~Get Your Files Here !/3. Measures of Central Tendencies.mp4
129 MB
~Get Your Files Here !/3.1 Probability and Statistics 3 - Measures of Central Tendencies (1).pdf
82.6 KB
~Get Your Files Here !/4. Measures of Dispersion.mp4
86.7 MB
~Get Your Files Here !/4.1 Probability and Statistics 4 - Measures of Dispersion (1).pdf
143.1 KB
~Get Your Files Here !/5. Introduction to Probability.mp4
92.3 MB
~Get Your Files Here !/5.1 Probability and Statistics 5 - Introduction to Probability (1).pdf
40.6 KB
~Get Your Files Here !/6. Types of Probability functions.mp4
51.9 MB
~Get Your Files Here !/6.1 Probability and Statistics 6 - Types of Probability functions (1).pdf
113.2 KB
~Get Your Files Here !/7. Probability density function.mp4
169.1 MB
~Get Your Files Here !/7.1 Probability and Statistics 7 - Probability Density Function (1).pdf
374.5 KB
~Get Your Files Here !/8. Cumulative Distribution function.mp4
153.9 MB
~Get Your Files Here !/8.1 Probability and Statistics 8 - Cumulative Distribution Function (1).pdf
168.1 KB
~Get Your Files Here !/9. Skewness and Kurtosis.mp4
81.8 MB
~Get Your Files Here !/9.1 Probability and Statistics 9 - Types and Attribute of Distribution (1).pdf
