Python Mastery: Machine Learning Essentials

Unlock the power of Python for a comprehensive journey into the core of machine learning
4.57 (14 reviews)
Udemy
platform
English
language
Data Science
category
Python Mastery: Machine Learning Essentials
4,346
students
8.5 hours
content
Mar 2024
last update
$19.99
regular price

What you will learn

Foundational Understanding: Grasp core concepts and principles of machine learning, providing a solid foundation for further exploration.

NumPy Proficiency: Master essential NumPy operations, including array creation, manipulation, and visualization with Matplotlib.

Pandas for Data Manipulation: Acquire skills in using Pandas for efficient data handling, covering data structures, column selection, and essential operations.

Scikit-Learn Mastery: Explore supervised and unsupervised learning techniques using Scikit-Learn, with practical applications like face recognition and PCA

Performance Analysis: Learn to evaluate model performance, delve into parameter tuning, and apply machine learning skills to real-world scenarios.

Python Programming Skills: Enhance Python proficiency, with a focus on practical applications in machine learning, enabling participants to navigate and excel

Data Visualization Techniques: Develop skills in visualizing data patterns using Matplotlib, an essential tool for conveying insights in machine learning.

Application of Machine Learning: Gain practical experience by working on real-world scenarios, including language identification and sentiment analysis.

Optimizing Models: Understand how to fine-tune models for optimal performance, incorporating parameter tuning techniques and industry best practices.

Predictive Modeling: Acquire the ability to create and deploy predictive models, ensuring participants are well-equipped for data-driven decision-making.

Participants will emerge with a well-rounded skill set, blending theoretical understanding with hands-on experience, making them proficient

5758716
udemy ID
1/11/2024
course created date
1/15/2024
course indexed date
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