Data Science Course Outline:
- INTRODUCTION TO DATA SCIENCE DEEP LEARNING & ARTIFICIALINTELLIGENCE
- Introduction to Deep Learning & AI
- Deep Learning: A revolution in Artificial Intelligence
- What is Deep Learning?
- MACHINE LEARNING, DEEP LEARNING & AI USING PYTHON
- Implementing Association rule mining
- Understanding Process flow of Supervised
- Learning Techniques Decision Tree Classifier
- Problem Statement and Analysis
- Linear Regression
- Logistic Regression
- Support Vector Machines
- Time Series Analysis
- Machine Learning Project
- Machine learning algorithms Python
- Feature Selection and Pre-processing
- Which Algorithms perform best
- Model selection cross validation score
- Text Mining& NLP
- PySpark and MLLib
- Deep Learning & AI
- Introduction to Artificial Neural Networks
- Convolutional Neural Networks
- What are RNNs – Introduction to RNNs