What You'll Learn
- Understand and apply Python programming for data and ML tasks.
- Grasp essential statistical concepts used in real-world analysis.
- Perform hypothesis testing to draw meaningful data-driven conclusions.
- Clean, transform, and prepare raw datasets for modeling.
- Analyze and interpret data using modern analytical techniques.
- Create insightful data visualizations using popular Python libraries.
- Build, train, and evaluate machine learning models from scratch.
- Apply ML techniques to real-world projects and make accurate predictions.
Requirements
- No prior programming or machine learning experience required
- Basic computer skills and the ability to install software
- A laptop or computer with internet access
- Willingness to learn and practice through hands-on exercises
- Curiosity about data, AI, and how machine learning works
Who This Course is For
- Beginners who want to enter the field of data science or machine learning
- Students and professionals looking to build a strong ML foundation
- Programmers who want to expand their skills into AI and data analysis
- Business analysts and decision-makers seeking data-driven insights
- Job seekers preparing for roles in data science, AI, or analytics
- Anyone curious about how machine learning works and wants hands-on experience
- Entrepreneurs and innovators who want to use ML in real-world projects
- Individuals looking to build practical, industry-ready AI skills
Your Instructor
Meritshot Academy
Providing Best-in-class Education and Upskilling Courses.
4.5 Instructor Rating
9,707 Reviews
157,478 Students
7 Courses
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