What distinguishes machine learning from other computer guided decision processes is that it builds prediction algorithms using data. Some of the most popular products that use machine learning include the handwriting readers implemented by the postal service, speech recognition, movie recommendation systems, and spam detectors. etc.
In this course, you will learn popular machine learning algorithms, principal component analysis, and regularization by building real life systems.
The basics of machine learning
How to perform cross-validation to avoid overtraining
Several popular machine learning algorithms
Project Management Using Agile Methodologies
Business Management, it’s twists and turns.
Week 1-2 : Introduction Python programming language
Week 3-4 : Data Analysis and Visualization
Week 5 : Basic math and Statistics
Week 6 : Sql for Data science
Week 7 : Mini Project/ Assessment
Week 8 : Introduction to Machine Learning
Week 9 : Building Machine Learning with Scikit-learn
Week 10 : Supervised Learning (Regression)
Week 11 : Supervised Learning (Classification)
Week 12: Clustering
Week 13 : Reinforcement Learning
Week 14 : Model Selection & Boosting
Week 15: Machine Learning Projects
Week 16 : Data Engineering
Week 17 : Natural Language Processing (NLP)
Week 18-19: Deep Learning
Week 20 : Project Management in one week
Week 21: Business Management in a Nutshell
Week 22 : Final Group Project.
Week 23 : Final Portfolio Project Presentation and Graduation
Duration: 23 Weeks (plus 13 weeks optional internship).
Location: Ikeja, Lagos
Mode: Hybrid(Online/Onground)
Experience: Intermediate
Includes: Computer Vision, Deep Learning, Data Science, Tensorflow, Reinforcement Learning
Certificate Options (You can decide to graduate with any of these): Certificate of Completion. Diploma Certificate. B.Sc Certificate.
Other certificates you'll get: Project Management Certificate, Business Management Certificate.
Job placement after graduation: Guaranteed
110,000 NGN
