Python For Data Science
Introduction to Data Science and Machine Learning
- What, Why, How, Uses
- History
- Examples
Tools & Languages available
- Python
- R
- Python & R Differences
- Python Distribution
- Python tools for Data Science
- Anaconda Installation
- Jupiter Notebook Usage and Examples
Numpy
- Introduction to Numpy. Array
- Creation,Printing Arrays
- Basic Operations- Indexing, Slicing
- and Iterating
- Shape Manipulation – Changing
- shape,stacking and spliting of array
- Vector stacking
Pandas And Matplotlib
- Introduction to Pandas
- Importing data into Python
- Pandas Data Frames,Indexing Data
- Frames ,Basic Operations With Data
- frame,Renaming Columns,Subletting
- and filtering a data frame.
- Matplotlib –
- Introduction,plot(),Controlling Line
- Properties,Working with Multiple
- Figures,Histograms
Analytics Stage
- Data Loading
- Data Cleanup
- Data Transformations
- Basic Statistics
- Descriptive
- Predictive
- Prescriptive
- Examples
Workshop Examples
- Linear Regression
- Clustering
- Classification
- Stocks Price Prediction
- HR Data Evaluation
- Heart Diseases Prediction
- Analysis Car