Nulled Udemy – Machine Learning 0 to 100 | python | Artificial Intelligence 2024-9

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Udemy – Machine Learning 0 to 100 | python | Artificial Intelligence 2024-9

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Description

Machine Learning course 0 to 100 Python | Artificial intelligence. Learn machine learning skills from basic concepts to practical real-world applications. This comprehensive course is designed to bridge the gap between theory and practice. Whether you’re an aspiring data scientist, an experienced developer, or a business professional looking to take advantage of machine learning capabilities, this course will provide you with the tools and knowledge you need to succeed.

What you will learn

• Basics of Machine Learning: You will understand the basic concepts and terms of machine learning. You will distinguish types of machine learning (supervised, unsupervised).
• Real World Applications of Machine Learning: You will identify different applications of machine learning in different industries. You will explore case studies of successful machine learning implementations.
• Key Machine Learning Terms and Concepts: You will understand key terms such as features, labels, models, training, testing, overfitting, underfitting, and model evaluation criteria.
• Different Machine Learning Algorithms: You will learn the basics of different algorithms (linear regression, decision tree, support vector machines and neural networks).
• Data collection and preprocessing techniques: You will learn data collection methods from various sources, data cleaning and normalization techniques.
• Implement data visualization to gain insights: You will create and interpret various charts and visualizations using libraries such as Matplotlib. You will use visual tools to identify patterns and trends.
• Mastering Python for Machine Learning: Write efficient and readable Python code using best practices. Use the main data science libraries (NumPy, pandas, …).
• Evaluate and interpret machine learning models: use metrics such as precision, accuracy, recall, F1 score, and ROC-AUC. Perform comprehensive error analysis.
• Implement model tuning techniques: use cross-validation, grid search, and random search to find optimal model parameters. Use ensemble models (bagging, boosting).
• Solve common problems in machine learning: Identify and solve common problems such as data imbalance, high dimensionality, and multicollinearity. Implement techniques to handle missing data.
• Understanding the deployment of machine learning models: Learn the steps and best practices for deploying models in production environments.

Who is this course suitable for?

• All those who want to advance in their career (in any field)
• Everyone who doesn’t want to lose their job

Specifications of the Machine Learning 0 to 100 course Python | Artificial intelligence

• Publisher:  Udemy
• Lecturer:  Ghazal Lalooha
• Training level: beginner to advanced
• Training duration: 5 hours and 39 minutes
• Number of courses: 20

Course headings

 

Prerequisites of the Machine Learning 0 to 100 course Python | Artificial intelligence

• familiarity with Python programming language
• familiarity with linear algebra (recommended but not required)

Course images

Sample video of the course

Installation guide

After Extract, view with your favorite Player.

Subtitle: None

Quality: 720p

download link

Download part 1 – 1 GB

Download part 2 – 1 GB

Download part 3 – 1 GB

Download part 4 – 1 GB

Download part 5 – 522 MB

File(s) password: www.downloadly.ir

File size

4.5 GB