![Machine Learning for Beginner]()
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 3.56 GBGenre: eLearning Video | Duration: 67 lectures (6 hour, 51 mins) | Language: English
What you'll learn
Fundamental of Machine Learning; Introduction, types of machine learning, applications
Supervised, Unsupervised and Reinforcement learning
Principal Component Analysis (PCA); Introduction, mathematical and graphical concepts
Confusion matrix, Under-fitting and Over-fitting, classification and regression of machine model
Support Vector Machine (SVM) Classifier; Introduction, linear and non-linear SVM model, optimal hyperplane, kernel trick, project in Python
K-Nearest Neighbors (KNN) Classifier; Introduction, k-value, Euclidean and Manhattan distances, outliers, project in Python
Naive Bayes Classifier; Introduction, Bayes rule, project in Python
Logistic Regression Classifier; Introduction, non-linear logistic regression, sigmoid function, project in Python
Decision Tree Classifier; Introduction, project in Python
Course content
10 sections 67 lectures 6h 51m total length
Requirements
Basics of Python
Description
Learn Machine Learning from scratch, this course for bner who want to learn the fundamental of machine learning and artificial intelligence.
