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Learning Predictive Analytics with Python

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Aditya S Kadam,adirani Digital Solutions Ltd

8:46:19

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  • 1. Introduction.mp4
    05:45
  • 2. Predictive Analytics in brief.mp4
    07:25
  • 3. Key terms of Predictive Analytics.mp4
    07:34
  • 4. Decision Tree Algorithm With Example.mp4
    25:44
  • 5. Random Forest Algorithm.mp4
    06:28
  • 1. Introduction.mp4
    13:11
  • 2. Installing Python and Visual Studio Code..mp4
    07:16
  • 3. Variables and Operators.mp4
    26:17
  • 4. Bitwise, Logical and Comparison Operators.mp4
    24:46
  • 5. Data Types.mp4
    10:24
  • 6. Functions, Lambda Functions, Arbitrary and Keyword Arguments.mp4
    24:39
  • 7. List.mp4
    34:52
  • 8. Tuple.mp4
    08:07
  • 9. Set.mp4
    22:45
  • 10. Dictionary.mp4
    12:53
  • 11. String Operations.mp4
    35:25
  • 12. if else loop.mp4
    10:15
  • 13. while loop.mp4
    08:14
  • 14. for loop and list comprehension.mp4
    07:28
  • 15. Object Oriented Programming (OOP) Introduction.mp4
    00:39
  • 16. OOP at glance.mp4
    10:53
  • 17. Class and Object.mp4
    16:02
  • 18. Inheritance, Abstraction, Encapsulation and Polymorphism.mp4
    18:50
  • 19. Decorators.mp4
    06:27
  • 20. Creating a command line app.mp4
    03:22
  • 21. Creating a Book class.mp4
    07:34
  • 22. File Hanling.mp4
    16:21
  • 23. Create Read Update Delete (CRUD) operations Book Class.mp4
    32:31
  • 24. Create Author, Reader and Person Class.mp4
    29:39
  • 25. Writing the main script to run our app.mp4
    50:15
  • 1. App to predict winner between two given pokemons.mp4
    34:18
  • Description


    A perfect course for Python learners

    What You'll Learn?


    • Predictive Analytics Theory and Practical Application
    • Python with Object Oriented Programming
    • Decision Tree and Random Forest Algorithm
    • Introduction to libraries like sklearn, pandas and numpy

    Who is this for?


  • Beginner Python developers curios about Machine Learning and Data Analytics
  • Those who want to have good basic understanding of how ML is done with Python.
  • More details


    Description

    Hi all,


    Predictive analytics is a branch of advanced analytics that uses statistical techniques, machine learning algorithms, and data mining to analyze historical data and make predictions about future events or trends. It helps organizations to identify patterns, understand trends, and anticipate outcomes, which can lead to better decision-making and more efficient operations. Predictive analytics is used in a variety of industries, including finance, healthcare, marketing, and manufacturing. By using predictive analytics, organizations can gain insights into customer behaviour, optimize marketing campaigns, detect fraud, and improve supply chain management, among other benefits.


    In this course, we will be covering all the important basics of Predictive analytics and then we will start with all the important concepts about Python and Object Oriented Programming.


    Python is a general-purpose language used in major areas like data science, machine learning and web development.

    This course covers almost all the essential concepts of Python. As a beginner, it is essential to have a basic clear and thorough understanding of the concepts. This course focuses on these points and we have tried our best to deliver it in a way which will help you to get the basics right as well as concepts clear.

    The key concepts covered in this course are:

    1. Built-in data types like list, dictionary, tuple, set, string with their functionalities.

    2. List comprehension, lambda function and decorators in Python

    3. Object-oriented programming in Python

    4. Creating an application using all the learned concepts

    5. Predictive Analytics

    6. A predictive model using Random Forest Algorithm to predict a winner between two given pokemon.


    Does this course cover all the concepts of Data Science and Web development?

    I will be honest with you, the course does not cover all the concepts of Web Development (although we have different courses for that we will discuss it some other day), however, it does cover about basics of Data Science and Machine Learning.

    Who this course is for:

    • Beginner Python developers curios about Machine Learning and Data Analytics
    • Those who want to have good basic understanding of how ML is done with Python.

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    Aditya S Kadam
    Aditya S Kadam
    Instructor's Courses
    I am Aditya, co-founder of 2 UK-based startups Garchi International Limited and Adirani digital solutions ltd. I have a computer science (my undergrad degree) background and a business (my master's degree and experience from running my own startups) background. To today date, I have 8+ years of web development experience, 12+ years of programming experience and 4+ years of startup experience. I have worked for several UK SMEs as a freelancer and I have also mentored several students in the UK, US, Australia and India for programming.I have my own YouTube channel as WebDevWithArtisan where I share useful and cool stuff on web development and programming.In the daytime, I work on my startups, in the evening time I code random problems or create videos for my YouTube channel; in the nighttime, I read articles on emerging tech and web dev. I like to keep myself updated as much as possible and I like to learn as much as possible.Apart from programming, I am a gamer and Assassins Creed Series is my favourite. I am an extrovert person and I like to travel a lot at weekends.Personally, I believe a lot in helping others to learn. My aim is to share as much knowledge and experience, as I could so that it might help many out there, to shape their learning curve and bring their idea into reality.
    adirani Digital Solutions Ltd
    adirani Digital Solutions Ltd
    Instructor's Courses
    adirani DS is a software company based in the UK. We have been running digital skills development BootCamp and courses for languages like Python, PHP, JavaScript, TypeScript and things like web/mobile app development, API development, Cloud Computing, Serverless Computing, Data Science and much more. Even though we are new to Udemy but we have been running our boot camp and courses almost for 1 and a half years and we are proud that we have great success stories to share. We believe in quality rather than quantity and our skilled instructors have great expertise bringing in their valuable experience, insights and tips.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 31
    • duration 8:46:19
    • Release Date 2023/04/27