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NumPy - Python Scientific Computing

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Data Science with Python by Great Learning

Skills you will learn!

Curriculum

Basics of Statistics

Descriptive Statistics

Cardio Good Fitness Case Study for Descriptive Statistics

Measures of Central Tendency

Measures of Dispersion

Understanding Distributions & Histograms

Box Plots

Summarizing Data

Pair Plots

Types of Data

Univariate statistical plots and usage

Bivariate Statistics

Multivariate Statistics

Intro to python

Variables in Python

Datatypes in Python

Operators in Python

Strings in Python

Tuples

Lists

Dictionary

Sets

If Statement

Looping while

For Loop

Functions in python

Class and Objects in Python

Inheritance using code in Python

Introduction to NumPy Array

Numpy Shape

NumpyAarray Arithmetic

Joining NumPy Arrays

Series object

Dataframe

Data Visualization-Matplotlib

Intro to Linear Regression

Models and Maths for Linear Regression

Relationship between the Independent variable and the Target variable

Coefficient of Correlation

Variance and Coefficient of Determinant

Linear Regression Assumptions

Advantages and Disadvantages

Data Preprocessing Demo

Density Graphs demo

Statistics Demo

Intro to Logistic Regression

Sigmoid Curve and Logloss Function

Model Cases of Logistic Regression

Advantages and Disadvantages of Logistic Regression

Practice with Data Sets

Related Python Courses

NumPy - Python Scientific Computing

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Get in Touch with Us