What you'll get
- 28+ Hours
- 4 Courses
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
Synopsis
- Master machine learning fundamentals with Scikit-Learn
- Build, train, and evaluate ML models in Python
- Gain hands-on experience with TensorFlow and AI
- Apply Python for data analysis and modeling
- Work on real-world datasets and projects
- Implement supervised and unsupervised learning algorithms
- Develop skills for a career in data science and AI
Content
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Machine Learning with Scikit Learn | 8h 37m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Machine Learning with Tensorflow for Beginners | 13h 39m | ✔ | View Curriculum |
| Tensorflow With Python | 1h 46m | ✔ | View Curriculum |
| Artificial Intelligence with Python | 6h 15m | ✔ | View Curriculum |
Description
The Scikit-Learn course offers a comprehensive learning experience that helps you master machine learning using the Scikit-Learn library in Python. This course covers the essential concepts and techniques for working effectively with Scikit-Learn in real-world machine learning applications.
Learners will start with the fundamentals of machine learning, exploring algorithms and workflows using Scikit-Learn. The course also introduces TensorFlow to provide broader exposure to AI and deep learning concepts. Participants will practice Python and machine learning through hands-on exercises and projects.
By the end of the course, learners will have the knowledge and skills to develop, train, and deploy machine learning models using Scikit-Learn and related Python libraries, preparing them for careers in data science, AI, and machine learning.
Sample Certificate

Requirements
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Basic knowledge of Python programming
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Understanding of fundamental machine learning concepts is helpful
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Familiarity with data analysis and statistics
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Access to a computer for hands-on exercises and projects.
Target Audience
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Aspiring Data Scientists and Machine Learning Engineers
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Python developers looking to specialize in machine learning and AI
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Students and professionals interested in data analysis and predictive modeling
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Analysts and engineers aiming to work with Scikit-Learn and TensorFlow
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Anyone seeking a career in artificial intelligence, machine learning, or data science.