data science course for beginners





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Published on Mar 26, 2019

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This is data science course for beginners. Its a 1 hour of crash course and it covers the below topics

Chapter 1:- The main goal :- Artificial intelligence
Chapter 2:- Human attempts for implementing AI
Chapter 3:- Machine Learning - Self learning
Chapter 4:- TAMA Machine learning life cycle.
Chapter 5:- Data science - Multi-disciplinary field.
Chapter 6:- Implementing Linear regression using excel.(Lab 1)
Chapter 7:- Summarizing what data science constitutes.
Chapter 8:- Supervised VS non-supervised learning
Chapter 9:- implementing non-supervised learning using excel (Lab2)
Chapter 10:- Data mining
Chapter 11:- Deep learning and neural networks
Chapter 12:- Summarizing AI,ML and DS space.
Chapter 13:- Why python is preferred for AI,ML and DS ?
Chapter 14:- Installation of python framework and pycharm IDE
Chapter 15:- Implementing Linear regression using python and scipy (Lab3)
Chapter 16:- Installation of R framework and R studio
Chapter 17:- Implementing Linear regression using R programming (Lab4)
Chapter 18:- Installation of python framework and pycharm IDE


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