Udemy – 2025 Machine Learning & Data Science for Beginners in Python 2024-11
Udemy – 2025 Machine Learning & Data Science for Beginners in Python 2024-11 Downloadly IRSpace
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2025 Machine Learning & Data Science for Beginners in Python is a machine learning and data science training course published by Udemy Online Academy. 2025 Machine Learning & Data Science for Beginners in Python is the ultimate beginner’s course designed to introduce people to the exciting fields of machine learning and data science. This course provides a hands-on introduction to the core concepts, tools, and techniques used in Python to analyze data and build predictive models. The course emphasizes practical implementation, covering topics such as data preprocessing, exploratory data analysis, supervised and unsupervised learning, and essential Python libraries such as NumPy, pandas, and scikit-learn.
The key points of this course include understanding the principles of machine learning and data science, learning preprocessing and data analysis techniques, using Python libraries such as NumPy, pandas, and scikit-learn, implementing supervised and unsupervised learning models. , and work on hands-on projects with global datasets to build practical expertise. Learners will work on real-world datasets and projects and gain skills to solve real-life problems with machine learning and data-driven methods. Ideal for beginners, this course lays a solid foundation for advanced study or professional application in data science and artificial intelligence.
What you will learn in 2025 Machine Learning & Data Science for Beginners in Python:
- Basic machine learning concepts and techniques, including supervised and unsupervised learning
- Techniques for building and evaluating machine learning models
- Different types of model evaluation criteria, such as accuracy, precision, and recall, and how to interpret them
- Understand the trade-offs between different machine learning algorithms and their advantages and disadvantages
- Understand best practices for developing, implementing, and interpreting machine learning models
- Ability to analyze, interpret and present the results of machine learning models
- and….
Course specifications
Publisher: Udemy
Instructors: Laxmi Kant | KGP Talkie
Language: English
Level: Introductory to Advanced
Number of Lessons: 280
Duration: 32 hours and 5 minutes
Course topics
2025 Machine Learning & Data Science for Beginners in Python Prerequisites
Some Concept of Programming
Elementary mathematics
Desire to learn
Pictures
2025 Machine Learning & Data Science for Beginners in Python introduction video
Installation guide
After Extract, watch with your favorite Player.
English subtitle
Quality: 720p
Download link
Size
11.5 GB
