Machine Learning is more than just algorithms — it’s about understanding data, patterns, and decision-making.
In this video, I explain what I learned after completing my Machine Learning course, including:
• Supervised & Unsupervised Learning
• Decision Trees & Random Forest
• SVM & K-Means
• PCA & Dimensionality Reduction
• Model evaluation & preprocessing
This is just the beginning of my journey in AI and Data Science.
