At Agratas EduTech, our Machine Learning course is a hands-on, career-focused program designed for students, data enthusiasts, programmers, and professionals looking to dive deep into the world of intelligent systems. This course builds a strong foundation in the core concepts of machine learning, covering supervised and unsupervised learning, classification, regression, and real-world applications.
From the very beginning, participants will engage in practical learning—working with datasets, building models, and using tools like Python and scikit-learn. You’ll gain expertise in key areas like feature engineering, data preprocessing, and algorithm tuning—essential skills for data-driven problem-solving in any industry.
CERTIFICATION
Upon completing the course, learners will receive:
- A Course Completion Certificate from Agratas EduTech
- An Internship Certificate based on submitted projects and assessments
- An Industry-Recognized Certificate showcasing your skills in machine learning
- A Letter of Recommendation (LOR) for outstanding performance
- These certifications will enhance your profile for roles in data science, artificial intelligence, and machine learning development.
LEARNING OUTCOMES
By the end of the course, students will be able to:
- Understand the fundamentals of machine learning, including types of learning algorithms.
- Gain proficiency in tools such as Python, NumPy, Pandas, and scikit-learn.
- Apply supervised learning techniques like linear regression, logistic regression, and decision trees.
- Explore unsupervised learning including clustering and dimensionality reduction.
- Master feature engineering and preprocessing techniques for real-world datasets.
- Build and evaluate ML models to solve real-life business and technical problems.
- Learn to interpret model outputs and visualize insights effectively.
- Prepare for industry opportunities with interview guidance and project-based learning.
Course Features
- Lectures 45
- Quiz 0
- Duration 26 hours
- Skill level All levels
- Language English
- Students 213
- Assessments Yes
- 1 Section
- 45 Lessons
- 26 Hours
- Section45
- 1.1MACHINE LEARNING LESSON 1
- 1.2MACHINE LEARNING LESSON 2
- 1.3MACHINE LEARNING LESSON 3
- 1.4MACHINE LEARNING LESSON 4
- 1.5MACHINE LEARNING LESSON 5
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- 1.8MACHINE LEARNING LESSON 8
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- 1.10MACHINE LEARNING LESSON 10
- 1.11MACHINE LEARNING LESSON 11
- 1.12MACHINE LEARNING LESSON 12
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- 1.14MACHINE LEARNING LESSON 14
- 1.15MACHINE LEARNING LESSON 15
- 1.16MACHINE LEARNING LESSON 16
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- 1.18MACHINE LEARNING LESSON 18
- 1.19MACHINE LEARNING LESSON 19
- 1.20MACHINE LEARNING LESSON 20
- 1.21MACHINE LEARNING LESSON 21
- 1.22MACHINE LEARNING LESSON 22
- 1.23MACHINE LEARNING LESSON 23
- 1.24MACHINE LEARNING LESSON 24
- 1.25MACHINE LEARNING LESSON 25
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- 1.27MACHINE LEARNING LESSON 27
- 1.28MACHINE LEARNING LESSON 28
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- 1.30MACHINE LEARNING LESSON 30
- 1.31MACHINE LEARNING LESSON 31
- 1.32MACHINE LEARNING LESSON 32
- 1.33MACHINE LEARNING LESSON 33
- 1.34MACHINE LEARNING LESSON 34
- 1.35MACHINE LEARNING LESSON 35
- 1.36MACHINE LEARNING LESSON 36
- 1.37MACHINE LEARNING LESSON 37
- 1.38MACHINE LEARNING LESSON 38
- 1.39MACHINE LEARNING LESSON 39
- 1.40MACHINE LEARNING LESSON 40
- 1.41MACHINE LEARNING LESSON 41
- 1.42MACHINE LEARNING LESSON 42
- 1.43MACHINE LEARNING LESSON 43
- 1.44MACHINE LEARNING LESSON 44
- 1.45MACHINE LEARNING LESSON 45
2 Comments
what happens if we declare a class variable in __init__() , that mean what if we declare a variable in inti() without using self
If you declare a variable within the __init__() method of a class without prefixing it with self, it becomes a local variable within that method.