Machine Learning with Python: Basics to Advanced Analytics
Master the core principles of data science with essential skills in both machine learning and statistics
4.19 (16 reviews)
4,445
students
8 hours
content
Dec 2024
last update
$39.99
regular price
What you will learn
Python Proficiency: Master the use of Python for implementing machine learning algorithms, establishing a solid programming foundation.
Analytics Insight: Develop the ability to leverage analytics in machine learning, gaining valuable insights for informed decision-making.
Big Data Integration: Understand the challenges and opportunities in integrating Big Data with machine learning processes.
Statistical Fundamentals: Learn the basics of statistical sampling, data types, visualization, and probability theory crucial for data science.
Random Variables and Distributions: Grasp the concepts of random variables and various probability distributions essential in machine learning applications.
Matrix Algebra Skills: Acquire proficiency in matrix algebra and understand its significance in manipulating data for machine learning.
Hypothesis Testing Mastery: Develop skills in hypothesis testing, encompassing error types, critical value approaches, and P-value analysis.
Regression Analysis: Gain insights into covariance and regression analysis, fundamental techniques for predictive modeling in data science.
Practical Application: Apply learned concepts through quizzes, practical examples, and real-world scenarios for hands-on experience.
Emerging Trends Awareness: Stay updated on emerging trends and innovations in machine learning, ensuring relevance in a rapidly evolving field.
5769354
udemy ID
1/17/2024
course created date
1/25/2024
course indexed date
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