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Learn Machine learning AI [Beginner to advanced content]

  • Development
  • Mar 28, 2025
SynopsisLearn Machine learning & AI [Beginner to advanced content...
Learn Machine learning AI [Beginner to advanced content]  No.1

Learn Machine learning & AI [Beginner to advanced content], available at $34.99, has an average rating of 4.1, with 34 lectures, based on 1209 reviews, and has 270973 subscribers.

You will learn about Machine Learning and its applications Building End to End Machine Learning Projects Deployment of Machine & Deep learning algorithms This course is ideal for individuals who are Python developers looking for a future in machine learning and Artificial Intelligence (AI). or Machine learning learners looking for live projects to learn from. or Python and Machine learning developers looking for hands on projects to work on Artificial Intelligence (AI). It is particularly useful for Python developers looking for a future in machine learning and Artificial Intelligence (AI). or Machine learning learners looking for live projects to learn from. or Python and Machine learning developers looking for hands on projects to work on Artificial Intelligence (AI).

Enroll now: Learn Machine learning & AI [Beginner to advanced content]

Summary

Title: Learn Machine learning & AI [Beginner to advanced content]

Price: $34.99

Average Rating: 4.1

Number of Lectures: 34

Number of Published Lectures: 34

Number of Curriculum Items: 34

Number of Published Curriculum Objects: 34

Original Price: $44.99

Quality Status: approved

Status: Live

What You Will Learn

  • Machine Learning and its applications
  • Building End to End Machine Learning Projects
  • Deployment of Machine & Deep learning algorithms
  • Who Should Attend

  • Python developers looking for a future in machine learning and Artificial Intelligence (AI).
  • Machine learning learners looking for live projects to learn from.
  • Python and Machine learning developers looking for hands on projects to work on Artificial Intelligence (AI).
  • Target Audiences

  • Python developers looking for a future in machine learning and Artificial Intelligence (AI).
  • Machine learning learners looking for live projects to learn from.
  • Python and Machine learning developers looking for hands on projects to work on Artificial Intelligence (AI).
  • Do you feel overwhelmed going through all the AI and Machine learning study materials?

    These Machine learning and AIprojects will get you started with the implementation of a few very interesting projects from scratch.

    The first one, a Web application for Object Identification will teach you to deploy a simple machine learning application.

    The second one, Dog Breed Prediction will help you building & optimizing a model for dog breed prediction among 120 breeds of dogs. This is built using Deep Learning libraries.

    Lastly, Credit Card Fraud detection is one of the most commonly used applications in the Finance Industry. We talk about it from development to deployment. Each of these projects will help you to learn practically.

    Who’s teaching you in this course?

    I am Professional Trainer and consultant for Languages C, C++, Python, Java, Scala, Big Data Technologies – PySpark, Spark using Scala Machine Learning & Deep Learning- sci-kit-learn, TensorFlow, TFLearn, Keras, h2o and delivered at corporates like GE, SCIO Health Analytics, Impetus, IBM Bangalore & Hyderabad, Redbus, Schnider, JP Morgan – Singapore & HongKong, CISCO, Flipkart, MindTree, DataGenic, CTS – Chennai, HappiestMinds, Mphasis, Hexaware, Kabbage. I have shared my knowledge that will guide you to understand the holistic approach towards ML.

    Here are a few reasons for you to pursue a career in Machine Learning:

    1) Machine learning is a skill of the future – Despite the exponential growth in Machine Learning, the field faces skill shortage. If you can meet the demands of large companies by gaining expertise in Machine Learning, you will have a secure career in a technology that is on the rise.
    2) Work on real challenges – Businesses in this digital age face a lot of issues that Machine learning promises to solve. As a Machine Learning Engineer, you will work on real-life challenges and develop solutions that have a deep impact on how businesses and people thrive. Needless to say, a job that allows you to work and solve real-world struggles gives high satisfaction.
    3) Learn and grow – Since Machine Learning is on the boom, by entering into the field early on, you can witness trends firsthand and keep on increasing your relevance in the marketplace, thus augmenting your value to your employer.
    4) An exponential career graph – All said and done, Machine learning is still in its nascent stage. And as the technology matures and advances, you will have the experience and expertise to follow an upward career graph and approach your ideal employers.
    5) Build a lucrative career– The average salary of a Machine Learning engineer is one of the top reasons why Machine Learning seems a lucrative career to a lot of us. Since the industry is on the rise, this figure can be expected to grow further as the years pass by.
    6) Side-step into data science – Machine learning skills help you expand avenues in your career. Machine Learning skills can endow you with two hats- the other of a data scientist. Become a hot resource by gaining expertise in both fields simultaneously and embark on an exciting journey filled with challenges, opportunities, and knowledge.

    Machine learning is happening right now. So, you want to have an early bird advantage of toying with solutions and technologies that support it. This way, when the time comes, you will find your skills in much higher demand and will be able to secure a career path that’s always on the rise.

    Practical Learning !!

    Project-based learning has proven to be one of the most effective ways to engage students and provide a practical application for what they’re learning and  it provides opportunities for students to collaborate or drive their learning, but it also teaches them skills such as problem-solving and helps to develop additional skills integral to their future, such as critical thinking and time management

    By pursuing this course you will able to understand the concept of Machine learning at the next level you will also get to know about Artificial intelligence and that will boost your skill set to be a successful ML engineer.

    Enroll now, see you in class!!


    Happy learning!
    Team Edyoda

    Course Curriculum

    Chapter 1: Project 1 – AI Project Web application for Object Identification

    Lecture 1: Project Requirements & Django Project Creation

    Lecture 2: Backend creation using pretrained Keras model – Resnet50

    Lecture 3: Adding Form to django App & uploading image

    Lecture 4: Integrating web application with deep learning backend

    Chapter 2: Project 2 – Deep Learning Project : Dog Breed Prediction (Kaggle dataset)

    Lecture 1: Dog Breed Prediction

    Chapter 3: AI Project : End to End Credit Card Fraud Detection

    Lecture 1: AI Project : Fraud Detection -Introduction

    Lecture 2: Module 1 : Agenda

    Lecture 3: Module 1 : Understanding Objective

    Lecture 4: Module 1: Kafka for gathering live credit card data

    Lecture 5: Module 1 : Cassandra for storing data

    Lecture 6: Module 1: Solution System Design

    Lecture 7: Module 2: Agenda

    Lecture 8: Module 2: System Requirements

    Lecture 9: Module 2: Java Installation

    Lecture 10: Module 2: Kafka Installation

    Lecture 11: Module 2: Anaconda Installation

    Lecture 12: Module 2: Docker Installation

    Lecture 13: Module 2: Cassandra Installation

    Lecture 14: Module 3: Agenda

    Lecture 15: Module 3: Loading & Preprocessing of Data

    Lecture 16: Module 3 : Sampling Techniques

    Lecture 17: Module 3: Estimators to be considered

    Lecture 18: Module 3: Connecting transformers & estimators using Pipeline

    Lecture 19: Module 4: Agenda

    Lecture 20: Module 4: Code Flow

    Lecture 21: Module 4: Class to connect Cassandra

    Lecture 22: Module 4: Class code for Model Config & Training

    Lecture 23: Module 4: Hyperparameter Tuning

    Lecture 24: Module 4: Stitching all components

    Lecture 25: Module 5: Agenda

    Lecture 26: Module 5: Model Persistence & Selection

    Lecture 27: Module 5: Revisiting Solution

    Lecture 28: Module 5 : Model behind Kafka Consumer

    Lecture 29: Module 5: Model behind REST using Flask

    Instructors

  • Learn Machine learning AI [Beginner to advanced content]  No.2
    EdYoda for Business
    Join me on www.edyoda.com
  • Rating Distribution

  • 1 stars: 64 votes
  • 2 stars: 60 votes
  • 3 stars: 177 votes
  • 4 stars: 417 votes
  • 5 stars: 491 votes
  • Frequently Asked Questions

    How long do I have access to the course materials?

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