Full course content

• • Class 1 - Introduction to AI and Machine Learning Setting up your development environment
• • Class 2 - supervised learning project using scikit-learn during the live session
• • Class 3 - linear regression project using scikit-learn during the live session
• • Class 4 - Logistic regression, K-Nearest Neighbors, & model evaluation.
• • Class 5 - classification project using scikit-learn during the live session
• • Class 6 - decision tree project using scikit-learn during the live session
• • Class 7 - Random Forest Introduction to random forests, bagging, & boosting
• • Class 8 - random forest project using scikit-learn during the live session
• • Class 9 - unsupervised learning project using scikit-learn during the live session
• • Class 10 - Introduction to principal com ponent analysis (PCA) (t-SNE)
• • Class 11 - dimensionality reduction project using scikit-learn during the live session
• • Class 12 - SVM project using scikit-learn during the live session.
• • Class 13 -Introduction to neural networks, backpropagation algorithm, & activation functions
• • Class 14 -neural network project using TensorFlow during the live session
• • Class 15 - deep learning project using TensorFlow during the live session
• • Class 16 -Introduction to NLP, text preprocessing, and bag-of-words model
• • Class 17 - NLP project using scikit-learn during the live session
• • Class 18 - time series analysis project using statsmodels during the live session
• • Class 19 - Ensemble Learning Introduction to ensemble learning, bagging, boosting, and stacking
• • mentor-blended_induction_session.mp4 (1080p)
• • Introduction to Python Class 1
• • Introduction to Python Class 2
• • Introduction to Python Class 3
• • Introduction to Python Class 4
• • Introduction to Python Class 5
• • Introduction to Python Class 6
• • Introduction to Python Class 7
• • Introduction to Python Class 8
• • Introduction to Python Class 9
• • Introduction to Python Class 10
• • Introduction to Python Class 11
• • Introduction to Python Class 12