Week 4 Theory - CDF, PDF,Density function, support,CRV | Statistics for Data science 2 | MyCampus

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MyCampus

MyCampus

9 ай бұрын

Mastering Random Variables and Statistical Inference: A Comprehensive 12-Week Journey
Welcome to our ultimate KZfaq playlist designed to transform your understanding of random variables and statistical inference! This power-packed series is meticulously crafted to guide you through the complexities of probability and statistics, ensuring you gain mastery over these crucial concepts. Here's a sneak peek into what you'll learn each week:
WEEK 1: Multiple Random Variables
Dive into the fascinating world of random variables.
Explore the dynamics of two random variables and their distributions.
Uncover the secrets of handling multiple random variables.
WEEK 2: Independence and Functions of Random Variables
Master the concept of independence in random variables.
Visualize and understand functions of random variables.
Delve into the intricacies of functions involving multiple random variables.
WEEK 3: Expectations and Casino Math
Discover the magic of expected value and its applications in casino math.
Learn to create and interpret scatter plots and understand data spread.
Grasp the concepts of variance, standard deviation, covariance, and correlation.
Understand key inequalities in probability and statistics.
WEEK 4: Continuous Random Variables
Differentiate between discrete and continuous random variables.
Analyze weight data and density functions.
Calculate expectations for continuous random variables.
WEEK 5: Advanced Continuous Random Variables
Examine height and weight data with two continuous random variables.
Utilize Colab for illustrating averages of random variables.
Explore limit theorems and analyze IPL data with histograms and approximate distributions.
Understand jointly Gaussian random variables and probability models for data.
Develop models based on various distributions and multiple random variables, including dependency and IPL powerplay models.
WEEK 6: Refresher Week
Reinforce your knowledge with a comprehensive review of the previous weeks.
WEEK 7: Estimation and Inference I
Begin your journey into estimation and inference.
Learn the foundational techniques and principles.
WEEK 8: Estimation and Inference II
Continue to build on your estimation and inference skills.
Dive deeper into advanced methods and applications.
WEEK 9: Bayesian Estimation
Unlock the power of Bayesian estimation.
Understand its principles and practical applications.
WEEK 10: Hypothesis Testing I
Master the basics of hypothesis testing.
Learn to formulate and test hypotheses effectively.
WEEK 11: Hypothesis Testing II
Advance your hypothesis testing skills.
Explore more complex scenarios and techniques.
WEEK 12: Revision Week
Consolidate your learning with a thorough revision of all topics covered.
Join us on this exhilarating journey and become a pro in random variables and statistical inference. Each week is designed to build your knowledge step-by-step, ensuring you gain a deep and comprehensive understanding of these essential concepts. Don't miss out on this opportunity to elevate your skills and knowledge to new heights!
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Telegram Group link :
t.me/MycampusByRishu
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Checkout our Other Playlists
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Machine Learning Foundation
• Machine Learning Found...
Multivariable Calculus:
• Multivariable Calculus
Mathematics 2 for Data Science : • Mathematics For Data S...
Mathematics 1 for Data Science : • Mathematics For data s...
Python OPPE PYQ playlist : • PYTHON OPPE 1 PYQ QUES...
Python Sessions : • Playlist
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Our channel is about teaching and exploring. We cover lots of cool stuff, such as Data science, Machine learning and Coding
Check out our channel here:
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Don’t forget to subscribe!
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Great 👍 Bhai ❤
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