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- Date : 15 January, 2025
- Time : Depends on the availability of student
- Location : Online Classes
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Our Machine Learning course is designed to take you from the basics to advanced concepts, giving you the expertise needed to work confidently with real-world data. Whether you want to begin a career in machine learning, strengthen your data science skills, or use modern algorithms to address challenging problems, this program offers a comprehensive and hands-on learning experience. Stay future-ready with our curriculum that reflects the latest industry trends and practices.
Product @ Paytm | Analytics Team Lead | Ex-SDE at Service Brands Tech, Canada | Judge/Mentor/Speaker at 10+ Hackathons | Data Science & GenAI
AI Engineer | Data Analyst | Power BI | Tableau | Python | Machine Learning | Generative AI
SDE-2 @ Shipbob | Ex - SDE @ Amazon | SDE Intern'22 @ Amazon | CSE MMMUT'22
SWE II @ Cisco
Full Stack Developer | React.js | JavaScript | Tailwind CSS | HTML | CSS
Basic programming knowledge in Python and a fundamental understanding of mathematics, particularly linear algebra and calculus, are recommended. No advanced prerequisites are required.
This course is ideal for beginners wanting to enter the field of machine learning, data enthusiasts looking to deepen their knowledge, career changers transitioning into data science, and professionals seeking to enhance their skills in machine learning.
Topics include Python programming, data manipulation with NumPy and Pandas, data visualization, regression models, classification algorithms, clustering, neural networks, and real-world applications of machine learning.
The course typically spans 6-8 weeks, depending on your pace, including lectures, assignments, and hands-on projects.
Yes, you will receive a certificate of completion and a Letter of Recommendation upon successfully finishing the course and all required assignments and projects.
Empowering learners with industry-ready skills, practical knowledge, and hands-on learning experiences that prepare them to excel, innovate, and build a successful future in the digital world.
We prioritize your privacy by securely handling personal data, using it only to improve your learning experience. All information shared with us is protected with strict safeguards.