Learn Machine learning & AI (3 Projects) [2024]

Get well versed with Machine learning and AI by working on Hands-on Projects.

4.67 (1187 reviews)
Udemy
platform
English
language
Data Science
category
Learn Machine learning & AI (3 Projects) [2024]
270,943
students
2 hours
content
Sep 2020
last update
$34.99
regular price

What you will learn

Machine Learning and its applications

Building End to End Machine Learning Projects

Deployment of Machine & Deep learning algorithms

Description

Do you feel overwhelmed going through all the AI and Machine learning study materials?

These Machine learning and AI projects 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

Content

Project 1 - AI Project Web application for Object Identification

Project Requirements & Django Project Creation
Backend creation using pretrained Keras model - Resnet50
Adding Form to django App & uploading image
Integrating web application with deep learning backend

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

Dog Breed Prediction

AI Project : End to End Credit Card Fraud Detection

AI Project : Fraud Detection -Introduction
Module 1 : Agenda
Module 1 : Understanding Objective
Module 1: Kafka for gathering live credit card data
Module 1 : Cassandra for storing data
Module 1: Solution System Design
Module 2: Agenda
Module 2: System Requirements
Module 2: Java Installation
Module 2: Kafka Installation
Module 2: Anaconda Installation
Module 2: Docker Installation
Module 2: Cassandra Installation
Module 3: Agenda
Module 3: Loading & Preprocessing of Data
Module 3 : Sampling Techniques
Module 3: Estimators to be considered
Module 3: Connecting transformers & estimators using Pipeline
Module 4: Agenda
Module 4: Code Flow
Module 4: Class to connect Cassandra
Module 4: Class code for Model Config & Training
Module 4: Hyperparameter Tuning
Module 4: Stitching all components
Module 5: Agenda
Module 5: Model Persistence & Selection
Module 5: Revisiting Solution
Module 5 : Model behind Kafka Consumer
Module 5: Model behind REST using Flask

Reviews

Mustapha
October 23, 2023
very nice course with alot good information. The only problem is intonation interference. I have to repeat some video over and over
Abhishek
June 19, 2023
worst way to teach beginners, You are going so fast And never thought us how to install django,sublime text,python
Nitish
April 13, 2023
Uptill now it is up to the mark.. I felt difficulty in django fronted application where path for url's is not set properly as updated django has slightly change in skeleton of code... Apart from that it was amazing.
Mike
February 19, 2023
I have learn, a lot as a result of the instructor easy and simple and to the point explanation. I will recommend this course to my colleagues.
Faraz
January 20, 2023
He's just working, that's not a way to teach. May be it's helpful for experts and professionals, but not for beginners and intermediate levels
Vivien
November 3, 2022
Garbage course and instructor like this reminds me how blessed I'm to have the likes of Brad Traversy.
Mehraj
August 21, 2022
good but not great for beginers...a bit of elaboration with basic real life analogies would have made learning easier..
Carlos
July 31, 2022
Estoy empezando en el mundo del machine learning, es fantastico y el ritmo va genial. I'm a begginer, a trainee in this world, universe of machine learning. everything it' s ok. good speed
Rotem
June 13, 2022
Terrible. This is perhaps good for python programmers, or people who know the technology stack assumed.
Dishant
June 5, 2022
I learned so much and while implementing and working on projects like this is what I think is the best way to learn
Mohamed
January 8, 2022
An excellent and comprehensive course on very important points and qualifies you for the field The way of explanation is easy and fun and the examples are excellent
Kamil
November 19, 2021
The tutor is not answering students' questions, jumps to other topics without code. It seems that this course is cut from a bigger course. This guy code for himself, not actually teaching. Terrible course, I wonder where came from such high notes. Do not buy it.
Varun
June 26, 2021
The projects are bit nice, But the main problem is they have not shared the source code which makes difficult to refer and learn
Putluru
May 27, 2021
Its good but need to explain basic introduction of tools which are going to use while real time project is doing. And please do mention about the preinstallations links before starting this course as to search for pip installed tools like tensor flow,keras... some people dont get those after searching to make them installed. I suggest to please include those links to install prerequisite installation tools to help students who dont have prior knowledge in these and inorder to save time as well
Manoj
May 25, 2021
really crisp and to the point explanation... Best part is he doesn't even waste time introducing himself... Plus he definitely has experience in what he's teaching so guess he is only trying to create more value from his knowledge by sharing...

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3518544
udemy ID
9/22/2020
course created date
9/26/2020
course indexed date
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