Data Analysis and Machine Learning free videos and free material uploaded by CRANES VARSITY staff .
Module 1: Numpy
Creating Numpy array
Numpy type
Accessing Elements in Numpy
Element wise calculations
Vectorized Operation
Numpy Subsetting
Built-in Methods of Numpy
Array creation Methods: arrange, linspace, eye
Numpy 2D Array
2D Array Indexing
Matrix Calculations
Importing Data
Module 2: Pandas
Machine Learning using sklearn
Plotting Graphs
Line Plot
Scatter Plot
Histogram
Pie Graph
Customization:
Setting Labels and Title
Setting Legends, colour
Annotations
Multiple plots on Single Axis
Sub Plot
Saving Plot to File
Tools and Resources used
Python 3
Jupyter Notebook
Platform: Linux / Windows 7 and above
Take away
Ability to explore datasets and extract information.
Import Data from various sources.
Present information in a visually attractive way using Matplotlib.
Prerequisite: Python Programming
Understanding how to extract information from data and present it in a graphical format that is easy to understand.
The course is supplemented by a number of hands-on labs.
Learn how to use the NumPy package to work with vectors and matrices.
Learn how to use the pandas library to read datasets and prepare them for modelling.
Learn about and apply different machine learning algorithms.
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