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Expected size of global Data Analytics market by 2030.
Average Salary of a Machine Learning Engineer annually.
The AI ML Projects Course is designed to provide hands-on experience in building real-world applications using artificial intelligence and machine learning. Learn to implement algorithms with real-world datasets and solve practical challenges in areas like predictive modeling, natural language processing, image recognition, and recommendation systems. This AI ML projects course equips you with the skills to use tools and frameworks like TensorFlow, PyTorch, Scikit-learn, and Keras. Ideal for individuals with a basic understanding of Python and ML concepts, this course helps enhance your portfolio and prepares you for roles such as Data Scientist, Machine Learning Engineer
Read MoreThis course focuses on building real-world AI and ML applications, applying concepts like machine learning, deep learning, and data processing through hands-on projects.
The course is ideal for individuals with a basic Python and machine learning understanding, including students, professionals, and AI/ML enthusiasts
You’ll work on projects like predictive modeling, natural language processing, image recognition, recommendation systems, and more.
Yes, a foundational knowledge of Python programming and basic machine learning concepts is recommended.
Yes, you’ll work with diverse real-world datasets to build practical AI and ML solutions, gaining valuable experience.
The course provides hands-on experience, enhancing your portfolio and preparing you for roles like Data Scientist, Machine Learning Engineer, and AI Developer.