Showing posts with label Machine Learning. Show all posts
Showing posts with label Machine Learning. Show all posts

Monday, 22 June 2020

Complete Python Bootcamp : Go Beginner to Expert in Python 3 only 1 day left

Hacking Truth






What you'll learn


  •     Learn to use Python professionally, learning both Python 2 and Python 3!
  •     Learn advanced Python features, like the collections module and how to work with Pymongo!
  •     Go from Beginner to Advanced in Python Programming by learning all of the basics to Object Orientated Programming.
  •     Learn by example, by writing exciting programs
  •     Learn advanced Python features, like the collections module
  •     Learn to use Object Oriented Programming with classes!
  •     Gain knowledge in regard to general programming concepts
  •     Have a fundamental understanding of the Python programming language.
  •     Database in python with Sqlite and MongoDb
  •     Build a complete understanding of Python Basics Programming
  •     Go from a total beginner to a confident Python programmer
  •     Use Pycharm to write their Python programs
  •     Data Structures in Python





Requirements


  • Basic IT knowledge
  • Access to a computer with an internet connection.


Description



Welcome to the Complete Python Bootcamp: Go Beginner to Expert in Python 3!
Become a Python Programmer and learn one of employer's most requested skills of 2020! Python is consistently ranked in either first or second place as the most in-demand programming languages across the job market.  It has applications in data science, machine learning, web development, self-driving cars, automation, and many many other disciplines.  There has never been a better time to learn it!


If you want to learn Python for Datascience, Machine learning (ML), NLP (Natural language processing), AI (Artificial Intelligence), Data Mining, GUI-Based Desktop Programs, Develop Games and 3D Graphics With Python and Network Programming. So this course is best for your to shine your Skills in python. Take this course and learn everything what you need to learn in python .





Please Read Curriculum Before Taking The Course:


  •     Introduction
  •     Python 3 Vs Python 2
  •     How this Course is Structured
  •     How to Install Python On windows
  •     How to install Python on Linux
  •     How to install Python On Mac
  •     Run a Basic Syntax with Complete Understanding on Print Function
  •     Variables & multiple assignment of variable - Don't Miss this Concept
  •     Variable Declaration
  •     Reassigning Variables
  •     Swap variables
  •     Scope Variable (Local and global variables in Python)
  •     What is Difference Between a program and a Script
  •     The Assert Statement
  •     Strings you need to grab complete concept
  •     Data Types In Python Major Concept
  •     What is Len Function in String
  •     Operators ( Arithmetic Operator in Python)
  •     Operators (Assignment Operator in Python)
  •     Write the Equation to Calculate an Average in one line with Operator
  •     Using of Assignments operator and Shorthand
  •     Comparison Operators
  •     Equal/Not Equals Operators
  •     Logical Operators in Python
  •     Is and Isnot in Python
  •     Inverting boolean in python
  •     Bitwise Operators
  •     If Statements in Python
  •     Else Statements in Python
  •     Elif Statements in Python
  •     Nested If Else Statement
  •     For loop in python
  •     While loop in python
  •     Break,Continue and Pass Statement
  •     Nested Loop
  •     Loops With Else block of Code
  •     Fibonacci Series in Python
  •     What is Function and How to Define a function
  •     Calling a function
  •     Function arguments and Return Vs Print
  •     Nested Functions
  •     What is Module
  •     Regular Indexes
  •     Negative Indexes
  •     Slices
  •     Remove the Character of index value
  •     Append In Python
  •     String Format Method
  •     String Indexing and Slicing
  •     neutralize_uppercase
  •     Max character
  •     Taking a User Input
  •     Introduction to Python Lists
  •     Change List Item Value
  •     Mutable List
  •     How to write list Literally vs Programmatically
  •     Check if Item exists in list
  •     Introduction to the Tuples
  •     Access Tuple Item
  •     Delete Tuple
  •     Iterating Lists
  •     Indexing and Slicing on Tuples
  •     Using list as a Stack
  •     Using List as a Queue
  •     Growing Lists (Shuffle List & Concatenation )
  •     Introduction to Dictionaries
  •     Updating a Dictionary
  •     Concatenate two Dictionaries
  •     Sort a Dictionary
  •     Delete Dictionary Elements
  •     Length of a Dictionary
  •     Key exists in Dictionary
  •     Introduction to Sets
  •     Convert dictionary into list
  •     Using Pop Method delete Item From dictionary
  •     Tree in Python
  •     Nested Loop Using List
  •     Introduction to Exceptions
  •     Handling Exceptions
  •     Raising Exceptions
  •     Try Except and Finally
  •     Breaking Math operation and use ZeroDivisionError
  •     Introduction To OOP and Key of OOP
  •     Classes and Objects
  •     Python Constructor
  •     Initializing the Object
  •     Run a Simple Empty Class Example
  •     instance method with classes and object
  •     Object Methods
  •     Self Parameter
  •     Delete Object and Property
  •     Accessing Class Attributes from instances
  •     Inheritance
  •     Multiple Child Classes Inheritance
  •     Multilevel Inheritance
  •     Multiple Inheritance
  •     Method Overriding
  •     Encapsulation
  •     Polymorphism
  •     Data Abstraction
  •     Setters and Getters
  •     Super Keyword
  •     Lambda Function
  •     Dictionary Comprehension
  •     Map
  •     Filter
  •     Reduce
  •     Creating a Database and Database Connection
  •     Python Database Create Table
  •     Python Database Insert Operation
  •     Python Database READ Operation
  •     Python Database Update Operation
  •     Python Database DELETE Operation
  •     Python Database Limit
  •     Install MongoDB
  •     Overview on Creating Database in CMD
  •     MongoDB Connection to python
  •     MongoDB Create Collection
  •     MongoDB Insert Document
  •     MongoDB Find Operation
  •     MongoDB Query
  •     MongoDB Update Operation
  •     MongoDB Delete Operation
  •     MongoDB limit Operation
  •     MongoDB Drop The Collection



What is python used for




It’s often used as a “scripting language” for web applications. This means that it can automate specific series of tasks, making it more efficient. Consequently, Python (and languages like it) is often used in software applications, pages within a web browser, the shells of operating systems and some games.


Python is used by Wikipedia, Google (where Van Rossum used to work), Yahoo!, CERN and NASA, among many other organisations.


The language is used in scientific and mathematical computing, and even in AI projects. It’s been successfully embedded in numerous software products, including visual effects compositor Nuke, 3D modellers and animation packages,


YouTube, Instagram and Quora are among the countless sites that use Python. Much of Dropbox’s code is Python (where Van Rossum works now), Python has been used extensively by digital special effects house ILM (whose work spans across all of the Star Wars and Marvel films) and it’s a favourite of electronics titan Philips.


The course follows a modern-teaching approach where students learn by doing. You will start Python from scratch by creating simple programs first.There are lots of Python courses and lectures out there. However, Python has a very steep learning curve and students often get overwhelmed. This course is different.This course is truly step by Step .We've crafted every piece of content to be concise and straightforward, while never leaving you confused. In every new tutorial we build on what had already learned and move one extra step forward.As for the curriculum, This course teaches all the key topics covered by other Python courses, but also covers more advanced topics like web scraping, crawling, and testing, just to name a few.






This is the most comprehensive,and straight-forward, course for the Python programming language on Udemy. Whether you have never programmed before, already know basic syntax, or want to learn about the advanced features of Python, this course is for you! In this course we will teach you Python 3 and All about python 3.The course also guides you on how to go about building even more advanced programs with Python. You will learn how to use Python third party libraries for building programs in a wide range of application areas.



Please feel free to explore the curriculum and watch some of the free preview videos!


You will get lifetime access & 30 day money back guarantee  . If you are not satisfied in any way, you'll get your money back.


So what are you waiting for?  Start learning Python With Funky Programmer Today. Advance your career and increase your knowledge in practical way!


Who this course is for:


  •     
  • Anybody who is interested in learning Python programming
  • Programmers switching languages to Python.


This course includes

 

  •    10.5 hours on-demand video
  •     7 articles
  •     89 downloadable resources
  •     9 coding exercises
  •     Full lifetime access
  •     Access on mobile and TV
  •     Assignments
  •     Certificate of Completion




See also

   
The Complete Ethical Hacking Course :-  Click Here
   
SEO Tutorial for Beginners :-  Click Here

Web Development Beginner's Bootcamp 2020     :-  Click Here

Machine Learning with ML.Net for Absolute Beginner  :-  Click Here

Python required for Data Science and Machine Learning 2020 :-  Click Here

Wheeled Robots with Raspberry Pi & Python Basics udemy free course :-  Click Here

The Complete Python 3 Course: Beginner to Advanced! :-  Click Here

Cyber Security Crash Course with certificate :-  Click Here

How To Create A Church Website For Complete Beginners :-  Click Here

Learn Machine Learning From Scratch [May 2020 Edition] :-  Click Here

Programming 101 coursecoding, Hardware, Networking, Programming   :-  Click Here

Code Your First Game: Arcade Classic in JavaScript on Canvas :-  Click Here




Click Here :- https://www.udemy.com/course/complete-python-bootcamp-expert-course/?ranMID=39197&ranEAID=KLBDeI3Y*Vs&ranSiteID=KLBDeI3Y.Vs-tC9Is7sNiWZAoehjIzv4_Q&LSNPUBID=KLBDeI3Y*Vs&utm_source=aff-campaign&utm_medium=udemyads&couponCode=JUNEFREE

Coupan Code  JUNEFREE

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Sunday, 24 May 2020

Machine Learning with ML.Net for Absolute Beginners

Hacking Truth





Use your dotnet skills for building Machine Learning apps using ML.Net

Note: This course is designed with ML.Net 1.5.0-preview2

Machine Learning is learning from experience and making predictions based on its experience.

In Machine Learning, we need to create a pipeline, and pass training data based on that Machine will learn how to react on data.

ML.NET gives you the ability to add machine learning to .NET applications.

We are going to use C# throughout this series, but F# also supported by ML.Net.

ML.Net officially publicly announced in Build 2019.

It is a free, open-source, and cross-platform.

It is available on both the dotnet core as well as the dotnet framework.


The course outline includes:


  • Introduction to Machine Learning. And understood how it’s different from Deep Learning and Artificial Intelligence.
  • Learn what is ML.Net and understood the structure of ML.Net SDK.
  • Create a first model for Regression. And perform a prediction on it.
  • Evaluate model and cross-validate with data.
  • Load data from various sources like file, database, and binary.
  • Filter out data from the data view.
  • Export created the model and load saved model for performing further operations.
  • Learn about binary classification and use it for creating a model with different trainers.
  • Perform sentimental analysis on text data to determine user’s intention is positive or negative.
  • Use the Multiclass classification for prediction.
  • Use the TensorFlow model for computer vision to determine which object represent by images.
  • Then we will see examples of using other trainers like Anomaly Detection, Ranking, Forecasting, Clustering, and Recommendation.
  • Perform Transformation on data related to Text, Conversion, Categorical, TimeSeries, etc.
  • Then see how we can perform AutoML using ModelBuilder UI and CLI.
  • Learn what is ONNX, and how we can create and use ONNX models.
  • Then see how we can use models to perform predictions from ASP.Net Core.

Who this course is for:


  • This is for newbies who want to learn Machine Learning
  • Developer who knows C# and want to use those skills for Machine Learning too
  • A person who wants to create a Machine Learning model with C#
  • Developer who want to create Machine Learning



 Introduction

  •     Intro to Course
  •     What is Machine Learning?
  •     ML v/s AI v/s DL
  •     What is ML.Net?
  •     Setting up Environment
  •     ML.Net SDK
  •     ML.Net Flow
  •     ML Terminology
  •     Section Summary
  
     
Creating first program
  
  •     Create Regression
  •     Evaluate Model: with Test Dataset
  •     Evaluate Model: with same Dataset
  •     Cross Validate Model
  •     Algorithms & Hyperparameters
  •     Section Summary
  
     
Data Load and save
    
  •     Load data from TextFile
  •     Load data from Multiple TextFile
  •     Load data from Binary
  •     Load data from Database
  •     Save data
  •     Filter data
  •     Section Summary
  
  
Model save and load
  
  •     Section Introduction
  •     Save Model
  •     Load Model
  
  
Binary Classification
  
  •     Binary Classification
  •     Logistic regression
  •     Sentiment Analysis - 1
  
  
  

What you'll learn

  • Create a Machine Learning app with C#
  • Use TensorFlow or ONNX model with dotnet app
  • Using Machine Learning model in ASP dotnet
  • Use AutoML to generate ML dotnet model
  
  
  
   


Coupan Code  NO-Needed
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Stay Connected 



website
🌐https://www.hackingtruth.in
🌐https://www.kumaratuljaiswal.in
🌐https://iam.kumaratuljaiswal.in
🌐https://academy.hackingtruth.in
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Saturday, 23 May 2020

Python required for Data Science and Machine Learning 2020

Hacking Truth



Python required for Data Science and Machine Learning 2020


Basic Python, Data Analysis & Insights Visualizations. Case Study. High level Machine Learning lib & tools walk through.


Welcome to the most comprehensive Python required for Data Science and Machine Learning course! An excellent choice for beginners and professionals looking to up skill themselves in the domain of Machine Learning and Data Science. This course of First Step or prerequisite to learn Machine Learning or Data Science.  This course covers most popular Python libraries in the world such as collections, numerical pyhton, matplotlib, seaborn and pandas data frames. This course includes case study for drawing meaningful insights out of given business data.

Course also covers most fundamentals of programming such as Decision Controls, Loops, Operators, Data types and more !

Going forward, every software development would be AI or Data Driven and students or professional needs to have respective skills to adapt themselves in the changing industry. Since Machine Learning and Data Science are hot in today's market and students or professionals needs to re-skill or up-skill themselves to AI or Machine Learning or Data Science to survive in today's market.

This course of First Step or prerequisite to learn Machine Learning or Data Science.


Python required for Data Science and Machine Learning course offers video tutorials on exact python required to get yourself started with Machine Learning and Data Science.

Numerical Python is a powerful library which efficiently performs matrix operations faster and exceed the python capabilities of data processing.

Pandas is a powerhouse tool that allows you to do anything and everything with tabular or columnar data sets -- analyzing, organizing, sorting, filtering, aggregating, cleaning, calculating, and more!

Matplotlib is an amazing visualization library in Python for 2D plots of arrays. 

Matplotlib is a multi-platform data visualization library built on NumPy arrays. One of the greatest benefits of visualization is that it allows us visual access to huge amounts of data in easily digestible visuals. Matplotlib consists of several plots like line, bar, scatter, histogram etc.

Seaborn is a library for making statistical graphics in Python. It is built on top of matplotlib and closely integrated with pandas data structures.

Whether you're a new data analyst, planning to transit yourself to data analyst role or have spent years in Excel, this course offers you an incredible introduction to one of the most powerful data tool kits available today!


Who this course is for:


  • Anyone who want to start with Basic Python required for Machine Learning and Data Science in short period of time.
  • Anyone who want to up skill then into Machine Learning and Data Science. This course is First Step
  • Managers who want to up skill them for high paying data jobs
  • Production Support Engineers who want to up skill them
  • Beginner python developer curious about data visualization
  • Data analysts, Business Analysts
















https://www.youtube.com/channel/UCa2s3RmE4B-hRsgKSjJLx_w


What you'll learn


  •     Hands on skills in Data Insights Visualization
  •     Collections - List, Set, Dictionaries, Tuples
  •     Pandas DataFrames - Intruduction and Operations and more
  •     Matrix Operations
  •     Multidimensional Arrays
  •     Case Study to visualize meaningful insights
  •     High level walk through of Machine Learning tools
  •     Visual plots such as line, bar, scatter, histogram etc.
  •     Seaborn for basic visualizations to retrieve meaningful insights
  •     Matplotlib for basic visualizations to retrieve meaningful insights
  •     Installing anaconda and Launching jupyter
  •     Fundamentals of programming such as Decision Controls, Loops,   Operators, Data types etc.
  •     Creating Identifiers, Operators
  •     and more !


Requirements


  • No programming knowledge required. I'll teach you.
  • You just need computer or mobile phone with internet connection to access course material.
  • Course also covers fundamentals of programming such as Decision Controls, Loops, Operators, Data types and more so that beginners also can understand.





Coupan Code  UPSKILLYOURSELFFAST
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website
🌐https://www.hackingtruth.in
🌐https://www.kumaratuljaiswal.in
🌐https://iam.kumaratuljaiswal.in
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Friday, 22 May 2020

Learn Machine Learning From Scratch [May 2020 Edition]

Hacking Truth

Learn Machine Learning From Scratch [May 2020 Edition]

A beginner's course that will guide you about Machine Learning from scratch


The concept of Artificial Intelligence is used in sci-fiction movies to describe a virtual entity that crossed some critical threshold point and developed self-awareness. And like any good Hollywood movie, this entity will turn against humankind. OMG! It’s a great concept to fuel our basic survival fear.

As you may guess, things, in reality, are completely different. Artificial Intelligence is one of the biggest revolutions in the software industry. It is a mind-shift on how to develop software applications. Instead of using hard-coded rules for performing something, we let the machines learn things from data, decipher the complex patterns automatically and then use it for multiple use cases.





 What you'll learn


  • Understanding Machine Learning
  • Mathematics
  • Statistics
  • Artificial Neural Networks
  • Supervised Learning
  



      

 

 

 

Course content

Expand 5 lectures34:51
  • –Learn Machine Learning From Scratch [May 2020 Edition]
  • Understanding Machine Learning
  • Mathematics
  • Statistics
  • Artificial Neural Networks
  • Supervised Learning

Requirements

  • Beginners level knowledge for working with Data .


Who this course is for:

  • Anyone Interested to learn Machine Learning


 This course includes

  •     35 mins on-demand video
  •     Full lifetime access
  •     Access on mobile and TV
  •     Certificate of Completion


Coupan Code :- DISCUDEMY.COM
 
NOTE :- Any coupon code for free courses is valid for a few days, so keep this in mind. )

Stay Connected 



website
🌐https://www.hackingtruth.in
🌐https://www.kumaratuljaiswal.in
🌐https://iam.kumaratuljaiswal.in
🌐https://academy.hackingtruth.in
🌐https://hackingtruth.teachable.com
🌐www.kumaratuljaiswal.wordpress.com
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πŸ”₯ YT Channel πŸ”₯

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