Machine learning using Python in One Week (Online)
Curriculum for this Course
Python basics
- Built-in data types: strings, integers, floats, lists
- Introduction to built-in functions
- Control flow statements
- How to write custom Python functions
- Reading data from CSV and TXT Files
- Writing to CSV and TXT Files
Anaconda distribution
- Installation and overview
Pandas
- Data Structures in Python
- Read CSV Data using Pandas
- Read Excel Data using Pandas
- Aggregation, Filtering in Pandas
- Combining and merging of datasets
Numpy
- Create Numpy Arrays
- Numpy Operations
- Numpy for Vector Arithmetic
- Numpy for statistical operations
Scikit-learn
- Regression models
- Classification models
- Clustering
Matplotlib/Plotly
- Basic concept and introduction to tools available for visualization
- 2D plots & 3D plots using Matplotlib
- 2D plots & 3D plots using Plotly
- Interactive 3D plots using plotly
Solution for real life use case using above set of tools
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