Machine Learning using Python
Overview SmartTeller Academy’s 3-Month Machine Learning using Python course is designed for individuals looking to gain hands-on experience in machine learning and data science. This comprehensive program covers the fundamentals of machine learning, model building, and evaluation techniques, all while using Python and popular libraries like Scikit-learn, TensorFlow, and Keras. Participants will work on real-world projects ...
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3 months
Duration
Course Overview
Overview SmartTeller Academy’s 3-Month Machine Learning using Python course is designed for individuals looking to gain hands-on experience in machine learning and data science. This comprehensive program covers the fundamentals of machine learning, model building, and evaluation techniques, all while using Python and popular libraries like Scikit-learn, TensorFlow, and Keras. Participants will work on real-world projects and case studies to solidify their learning and build a strong foundation in machine learning concepts and applications. Key Features Hands-on learning with Python and popular machine learning libraries (Scikit-learn, TensorFlow, Keras) Practical projects and case studies based on real-world datasets In-depth coverage of machine learning algorithms: regression, classification, ... To know Learn more, Enroll with us
- Private Tutor Course Program
- Course Diploma Certificate
- Learn at your own pace
- Access on any device
Course Curriculum
Explore the modules and topics covered in this course
Introduction to Python for Data Science & Machine Learning
Module 1
Introduction to Python for Data Science & Machine Learning
Module 2
Introduction to Python for Data Science & Machine Learning
Module 3
Introduction to Python for Data Science & Machine Learning
Module 4
Introduction to Machine Learning & Supervised Learning
Module 5
Introduction to Machine Learning & Supervised Learning
Module 6
Introduction to Machine Learning & Supervised Learning
Module 7
Introduction to Machine Learning & Supervised Learning
Module 8
Advanced Supervised Learning & Feature Engineering
Module 9
Advanced Supervised Learning & Feature Engineering
Module 10
Advanced Supervised Learning & Feature Engineering
Module 11
Advanced Supervised Learning & Feature Engineering
Module 12
Unsupervised Learning & Clustering
Module 13
Unsupervised Learning & Clustering
Module 14
Unsupervised Learning & Clustering
Module 15
Unsupervised Learning & Clustering
Module 16
Introduction to Neural Networks & Deep Learning
Module 17
Introduction to Neural Networks & Deep Learning
Module 18
Introduction to Neural Networks & Deep Learning
Module 19
Introduction to Neural Networks & Deep Learning
Module 20
Advanced Deep Learning & Model Deployment
Module 21
Advanced Deep Learning & Model Deployment
Module 22
Advanced Deep Learning & Model Deployment
Module 23
Advanced Deep Learning & Model Deployment
Module 24
By the end of this course, you will be able to:
- Understand the Machine Learning using Python .
- Completed the Intermediate Course.
- Build and deploy real-world projects to showcase your skills.
- and more...
If you have further questions, please feel free to contact our support team.
Frequently asked questions
SmartTeller Academy courses are perfect for absolute beginners with no coding experience, career changers, and backend developers looking to master the client-side technologies.
Yes, upon successful completion of any course, you will receive a certificate of completion. This certificate can be added to your resume, LinkedIn profile, or portfolio to demonstrate your new skills to employers or clients.
We offer both online and in-person learning options, depending on the course and location. Our online classes are conducted live with interactive sessions, while in-person classes take place at our training centers. Check the course details for availability.
All students receive dedicated support from experienced instructors, access to course materials, practical assignments, and a community forum for questions and collaboration. We’re here to ensure you succeed and feel confident using your new IT skills.