Machine Learning
Machine Learning Masterclass
1️⃣ Learn the core principles of Machine Learning and how intelligent systems learn from data.
2️⃣ Understand the main learning types: Supervised Learning, Unsupervised Learning, and Reinforcement Learning.
3️⃣ Prepare and analyze datasets using Python tools such as NumPy and Pandas.
4️⃣ Build practical models using algorithms like Linear Regression, Logistic Regression, and Decision Trees.
5️⃣ Understand classification and prediction techniques used in real-world applications.
6️⃣ Explore the fundamentals of Neural Networks and Deep Learning.
7️⃣ Train, test, and evaluate models while understanding accuracy, overfitting, and optimization.
8️⃣ Apply Machine Learning to real applications such as data prediction, image analysis, and intelligent
Course Overview
Prepared by: Engineer Adil Salih
- Experience: 20+ years in design, operation, and maintenance of complex industrial and infrastructure projects.
- Education: Graduate of the University of Lorraine, France.
- Core Expertise: Medium & Low Voltage Systems, PLC Programming, SCADA, Industrial Automation, and AI.
- Industry Collaboration: Partnered with major organizations including Schneider Electric, UNDP, NEC Corporation, USAID, Dar Engineering, Wärtsilä, and Huawei.
My Mission: I am passionate about sharing industry-proven insights to help you translate complex engineering concepts into actionable, real-world solutions.