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- Introduction
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course and certificate fees
Fees information
₹ 639 ₹3,499
certificate availability
Yes
certificate providing authority
Udemy
The syllabus
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
Python Programmer
Freelancer
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