Course Overview
- Course Title: Machine Learning Mastery: From Basics to Advanced Techniques
- Instructor: Tamer Ahmed
- Target Audience:
- Data enthusiasts
- Aspiring data scientists
- Seasoned professionals
- Prerequisites:
- Prior Python and Data Analysis Experience needed
Curriculum Highlights
- Key Topics Covered:
- Foundational Knowledge
- Algorithm Deep Dive
- Real-World Applications
- Model Optimization
- Career Boost
- Stay Current
- Key Skills Learned:
- Supervised and unsupervised learning
- Regression, classification, clustering, and dimensionality reduction
- Linear regression, decision trees, support vector machines, and neural networks
- Natural Language Processing (NLP) with Supervised ML Algorithms for Sentiment Analysis & Text Classification
- Model evaluation, hyperparameter tuning, and performance optimization
- Practical experience with hands-on projects and exercises
Course Format
- Duration: 5.5 hours on-demand video
- Format: Self-paced online course
- Resources:
- 3 articles
- 12 downloadable resources
- Access on mobile and TV
- Certificate of completion