Data Analysis with Python wk1

target Value

the value that we want to predict from the dataset

common data format

.csv, .json, .xlsx, .hdf

NumPy

Arrays & matrices

Pandas

Data structures & tools data frames

Statsmodels

Explore data, estimate statistical models, and perform statistical tests

SciPy

Integrals, solving differential equations, optimization, data visualization

Scikit-learn

Machine Learning: regression, classification built on Numpy, SciPy and Matplotlib,

Visualization Libraries

Matplotlib / Seaborn

Scientific Computing Libraries

Pandas / NumPy / SciPy

predictor

all the variables listed in order to find out the target value

Algorithmic Libraries in Python

develop model using data set and obtain predictions Scikit-learn / Statsmodels

Seaborn

heat maps, time series, violin plots

Matplotlib

plots & graphs