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    Python 3 and Data Science Mastery Practical Python 3

    BY
    Udemy

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    Mode

    Online

    Fees

    ₹ 639 3499

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study
    Mode of Delivery Video and Text Based

    Course and certificate fees

    Fees information
    ₹ 639  ₹3,499
    certificate availability

    Yes

    certificate providing authority

    Udemy

    The syllabus

    Introduction

    • Introduction

    Download & Install the Required Softwares

    • Install Anaconda
    • Update Anaconda
    • Our package managers
    • Install jupyter-matplotlib
    • Download and Install Visual Studio Code

    Learn to use IPython & Jupyter Notebook

    • IPython
    • Jupyter Notebook

    Python Programming Basics

    • Variables
    • Source code
    • Arithmetic
    • Source code
    • Strings - Single Quoted & Double Quoted Strings
    • Source code
    • Triple-quoted Strings
    • Source code
    • Get input from the user
    • Source code
    • Decision making
    • Objects
    • Source code

    Control Statement in Python

    • if, elif and else
    • Source code
    • while loop
    • Source code
    • for loop
    • Source code
    • Augmented assignments
    • Source code
    • Sequence iteration
    • Source code
    • Sentinel iteration
    • Source code
    • Range function
    • Source code
    • Decimal type
    • Source code
    • Logical operators
    • Source code

    Functions in Python

    • Defining functions
    • Source code
    • Functions with multiple parameters
    • Source code
    • Random number generation
    • Source code
    • math Module
    • Source code
    • Default Argument Value
    • Source code
    • Keyword Arguments
    • Source code
    • Arbitrary Parameter List
    • Source code
    • Methods
    • Source code
    • Scoping
    • Source code
    • Import statement
    • Source code
    • Function arguments
    • Source code
    • Reproducibility
    • Source code

    Sequence in Python Programming - Master Lists & Tuples

    • Intro- What we are going to learn in this section of the course
    • Install Code-Runner Extension in Visual Studio Code
    • Alist of Integer Values & Accessing List Elements With Positive Indices
    • Source Code
    • Negatives Indices & Math Operations to access elements & Mutable Lists
    • Source Code
    • Populating list with a range & Concatenation Operator & Boolean Operations
    • Source Code
    • Tuples
    • Tuples Source Code
    • Why you should learn about sequence unpacking in Python
    • Unpacking Tuples, Strings & Lists
    • Unpacking Tuples, Strings & Lists - Source Code
    • Unpacking Range of Integer Values
    • Unpacking Range of Integer Values - Source Code
    • Use "Unpacking" to add the swapping feature to your app
    • Use "Unpacking" to add a swapping feature to your app - Source Code
    • Unpacking Enumerated Sequences With their Indices & Corresponding Values
    • Unpacking Enumerated Sequences - Source Code
    • Create a primitive bar chart with # ;)
    • Source Code
    • Slice an ordered subset of sequence values
    • Source Code
    • Slice an intermittent subset of sequence values
    • Source Code
    • Use negative indices to slice a reversed subset of sequence values
    • Source Code
    • Count backward the sequence - "The HARD way"
    • Source Code
    • Update a subset of sequence values
    • Source Code
    • Delete a subset of sequence values
    • Source Code
    • Modify an intermittent subset of sequence values
    • Source Code
    • Determine the identity of your sequence object after slicing
    • Source Code
    • Del Statement
    • Source Code
    • Pass a list object to a function - Passing by reference explained!
    • Source Code
    • The Sort Method
    • Source Code
    • The Sorted Function
    • Source Code
    • Sequence Searching
    • Source Code
    • Usages of "in" and "not in" keywords when it comes to sequence searching
    • Source Code
    • Inserting & Appending
    • Source Code
    • Extend your list
    • Source Code
    • Remove & Clear List Elements
    • Source Code
    • Count up the list items and determine the occurrence
    • Source Code
    • Reverse your list of elements
    • Source Code
    • How to create a shallow list copy of your list elements
    • Source Code
    • How to create a shallow list copy of your list elements
    • Source Code
    • Stack Data Structure and the pop() function
    • Source Code
    • Simple List Comprehension Creation
    • Source Code
    • Complex List Comprehension Creation
    • Source Code
    • Add decision-making to your list comprehension
    • Source Code
    • Apply List Comprehension to other sorts of sequences
    • Source Code
    • Generator Expression Vs List Comprehension - Which one is better?
    • Source Code
    • Generator Expressions
    • Source Code
    • Functional Programming With Filter()
    • Source Code
    • Use Lambda Expression to Simplify the Process of Filtering
    • Source Code
    • Functional Programming With Map()
    • Source Code
    • Functional Programming With Reduce()
    • Source Code
    • The ord function - Get the numeric value of your sequence!
    • Source Code
    • Sequence processing with min() and max()
    • Source Code
    • The Zip Function
    • Source Code
    • Two Dimensional Arrays
    • Source Code

    Dictionaries & Sets in Python

    • Intro - What is a dictionary & set
    • How to create a dictionary in Python
    • Source Code
    • Iterate through a dictionary
    • Source Code
    • Access, Update and Insert new Entities to your Dictionary
    • Source Code
    • Remove Entities From your Dictionary
    • Source Code
    • Get Function
    • Source Code
    • Keys & Values Methods and Operations
    • Source Code
    • Dictionary Comparison
    • Source Code
    • Sets
    • Source Code
    • Comparing Sets
    • Source Code
    • Union Function
    • Source Code
    • Intersection Function
    • Source Code
    • Difference Function
    • Source Code
    • Symmetric Difference Function
    • Source Code
    • IsDisjoint Function
    • Source Code
    • Update Method
    • Source Code
    • Add Method
    • Source Code
    • Remove Method
    • Source Code

    Array Oriented Programming With Numpy

    • Intro
    • Creating Arrays & Two Dimensional Arrays Using Numpy
    • Source Code
    • Numpy Array Attributes
    • Source Code
    • Populate your array with special values
    • Source Code
    • Create Arrays Using Ranges
    • Source Code

    Master Strings in Python

    • Intro
    • Presentation Types
    • Source Code
    • Field Widths & Alignment
    • Source Code
    • Numeric Formatting
    • Source Code
    • String's Format Method
    • Source Code
    • Concatenating & Repeating Strings
    • Source Code
    • Stripping Whitespace From Strings
    • Source Code

    Files & Exceptions in Python

    • Intro
    • Learn about files in Python - How does Python treats them?
    • How to write to a text file
    • Source Code
    • How to read data from a text file
    • Source Code
    • Update your text file
    • Source Code
    • Exception Handling
    • Facing Invalid Data or Input
    • Source Code
    • Try Statement
    • Source Code
    • Finally Clause
    • Source Code
    • Extra point: Wrap the statement with a try suit
    • Source Code

    Object Oriented Programming

    • Intro
    • Create your custom class
    • Source Code
    • Attribute access control
    • Properties
    • Source Code
    • Private attribute simulation
    • Source Code
    • Inheritance
    • Source Code
    • Polymorphism
    • Source Code
    • Duck typing
    • Source Code
    • Object class
    • Operator overloading

    Natural Language Processing (NLP)

    • Intro
    • Get Textblob
    • Create Textblobg
    • Source Code
    • Text tokenizing
    • Source Code
    • Parts of speech tagging
    • Source CodeNoun phrase extraction
    • Source Code
    • Textblob's default sentiment analyzer
    • Source Code
    • NaiveBayesAnalyzer
    • Source Code
    • Language detection and translation
    • Source Code
    • Pluralization & Singularization
    • Source Code
    • Spell checking & Correction
    • Source Code

    Twitter Data Mining

    • Intro
    • Create your Twitter developer account
    • Get yourself comfortable with reading Twitter API docs
    • Create your first Twitter app project and access the private credentials
    • Install the tweepy module on your system
    • Authenticate with Twitter
    • Source Code
    • Access information of a Twitter account
    • Source Code
    • Access the user's followers and friends by using the cursor object
    • Source Code
    • Find out who the user's followers are!
    • Source Code
    • Find out who the user's followings are!
    • Source Code
    • Get user's latest tweets
    • Source Code
    • Search the recent tweets
    • Source Code

    IBM Watson & Cognitive Computing

    • Intro
    • IBM Watson explained
    • Create an IBM cloud account
    • Install the necessary components
    • Translator app demo
    • Translator app to-do list
    • Register for the speech-to-text service
    • Register for the text-to-speech service
    • Register for the language translator service
    • Import Watson SDK classes and media modules
    • Source code
    • Translate function & entry point
    • Source Code
    • Record user's voice function
    • Source code
    • Step #1: Record English audio
    • Source code
    • Speech-to-text function
    • Source code
    • Step #2: Transcribe English speech to English text
    • Source code
    • Translate function
    • Source code
    • Step #3: Translate the English text into the french text
    • Source code
    • Text-to-speech function
    • Source code
    • Step #4: Convert the french text into spoken french audio
    • Source code
    • Play function
    • Source code
    • Step #5: Play french audio
    • Source code
    • Step #6: Record french audio
    • Source code
    • Step #7: Transcribe the french speech into french text
    • Source code
    • Step #8: Translate the french text into English text
    • Source code
    • Step #9: Convert the English text into spoken English audio
    • Source code
    • Step #10: Play English audio & finishing touches
    • Source code
    • Project source code

    Machine Learning in Python

    • Intro
    • Machine Learning Types
    • Classification model
    • Scikit-Learn library
    • Datasets
    • Digits dataset
    • K-Nearest Neighbors Algorithm
    • Hyperparameters
    • Loading the digits dataset
    • Source code
    • Target & Data attributes
    • Source code
    • Set up data
    • Source code
    • Create a diagram
    • Source code
    • Display digit images
    • Source code
    • Splitting data for training and testing purposes
    • Source code
    • Training & Testing size customization
    • Source code
    • Create the Model
    • Source code
    • Train the Model
    • Source code
    • Predict data & Test your model
    • Source code
    • Final source code

    Deep Learning in Python

    • Introduction
    • Deep learning models
    • Neural networks
    • Artificial neurons
    • Artificial Neural Network Diagram
    • Iterative learning process
    • How synapses are activated
    • Backpropagation technique
    • Tensors
    • Convnets
    • MNIST digits dataset
    • Probabilistic classification
    • Keras reproducibility
    • Keras neural network components
    • Loading MNIST Dataset
    • Source code
    • Explore MNIST Data
    • Source code
    • Digits visualization
    • Source code
    • Data preparation process - Reshaping
    • Source code
    • Data preparation - Normalization
    • Source code
    • Data preparation - Converting labels to categorical data
    • Source code
    • Neural Network Creation
    • Source code
    • Integrating layers into the network
    • Source code
    • The Convolution Process
    • Add Conv2D Layer
    • Source code
    • Conv2D Output Dimensionality
    • Overfitting
    • Add a Pooling Layer
    • Source code
    • Add One More Convolution Layer
    • Source code
    • Add one more pooling layer
    • Source code
    • Add Flatten Layer
    • Source code
    • Add a Dense Layer to reduce the features
    • Source code
    • Add a Dense Layer to produce the final results
    • Source code
    • Model's Summary
    • Source code
    • Model Structure Visualization
    • Source code
    • Compile the model
    • Source code
    • Train the model
    • Source code
    • Evaluate the model
    • Source code
    • Predict data
    • Source code
    • Display the incorrect predictions
    • Source code
    • Visualize the incorrect predictions
    • Source code
    • Access the wrong predictions’ probabilities
    • Source code
    • Saving & Loading our model
    • Source code

    Big Data

    • Databases
    • Relational databases
    • Create a SQLite database
    • Source code
    • Create a table
    • Source code
    • Create a list of martial arts
    • Source code
    • Insert data into the database
    • Source code
    • Access the database data
    • Source code
    • Update the database data
    • Source code
    • Delete the database data
    • Source code

    Data Science

    • Intro to data science
    • Descriptive statistics
    • Source code
    • Measures of central tendency
    • Mean
    • Source code
    • Median
    • Source code
    • Mode
    • Source code
    • Measures of Dispersion
    • Variance
    • Source code
    • Standard deviation
    • Source code
    • Static visualization
    • Import the necessary modules
    • Source code
    • Roll the dice
    • Source code
    • Set the title and style of your visualization
    • Source code
    • Start the visualization
    • Source code
    • Setting up the title for each bar
    • Source code

    Instructors

    Mr Morteza Kordi

    Mr Morteza Kordi
    Python Programmer
    Freelancer

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