AI & Data Science

Module 1:

• What is Data
• What is Machine Learning
• Supervised vs. Unsupervised learning
• EvaluationTrain-Test splitValidation

Module 2:

• Regression Univariate linear regression Multivariate regression
• AlgorithmsKNNNaïve BayesDecision TreesSVMs
• AlgorithmsDecision TreesSVMs
• ClusteringClassification vs. ClusteringK-means Clustering
• Time Series AnalysisMLPFeed Forward neural networks
• Applications with computer visionClassification and Detection

Module 3:

• Introduction to Python
• Data Pre-Processing Techniques
• Introduction to basic Python syntax and structure
• K-Mean Clustering (Solved Example)
• Implementation of K Mean in python
• KNN Clustering (Solved Example)
• Implementation of KNN in python
• Decision Tree (Solved Example)
• Implementation of Decision Tree in python
• Time Series Analysis implementation in python
• Regression (Solved with example)
• Regression implementation in python
• Logistic Regression Implementation in python