Data Science

• Python basic
  • - Why program, an intro
  • - variables, expressions and satements
  • - conditional execution
  • - functions
  • - loops and iteration
  • - strings
  • - File handling
  • - lists
  • - dictionaries
  • - tuples
• Advanced python:
  • - Object Oriented Programming with python
  • - Database with python
  • - REST API with python
• Data analysis and visualization:
  • - Numpy
  • - Pandas
  • - Matplotlib
  • - Seaborn
  • - Case study

Machine learning

• Supervised learning:
  • - Linear regression
  • - Polynomial regression
  • - Logistic regression
  • - Regularization
• Unsupervised learning:
  • - Clustering
  • - Anomaly Detection
  • - Recommender Systems
  • - Reinforcement Learning
• Advanced Learning Algorithms:
  • - Neural Networks
  • - Training Neural Networks using tensorflow
  • - Bias, Variance
  • - Decision tree