Web Development
Data Science
Python
SQL
JavaScript
Artificial Intelligence
IT & Software
IT Certifications
Hacking
AWS
Arduino
DevOps
3D Modeling
Graphic Design
Photoshop
Drawing
Digital Painting
UX Design
Business
Data Analysis
Communication Skills
Project Management
Leadership & Management
Human Resources
Digital Marketing
Social Media Marketing
Marketing
SEO
Google Analytics
Branding
Excel
Office Productivity
SAP
PowerPoint
Microsoft Access
SharePoint
Finance & Accounting
Trading & Investing
Accounting
Bitcoin
Personal Finance
Video Editing & Animation
Photography
Adobe Premier Pro
Adobe Lightroom
Personal Development
Productivity
Career Development
Life Coaching
Health & Fitness
Meditation & Mindfulness
Yoga
Music
Music Production
Guitar
Piano
Singing
Language Learning
Teaching & Academics
Engineering
Math
LifestyleAI & ML w/ Python-2022-Practical Hands On with Minimum Maths (Udemy.com)
Getting started and building a strong foundation for AI and ML using Python. Go from Hello world to Complete ML projects
Created by: Aalekh Rai
Last updated December 2022
What you will learn
- Project 1: Complete ML project of IRIS flower dataset
- Project 2: Complete ML project of Digit recognition system
- How to write "Hello world" of Machine Learning?
- How to develop basic programs and complete projects of Machine Learning?
- What is AI and What is ML?
- How AI and ML are different but related?
- What are DL, NLP, ANN, DNN and how they are related to AI?
- What are top Python libraries for Machine Learning?
- Why SK-learn library is kind of 'complete library' for ML with python?
- What is Anaconda, Spyder, Jupyter etc. How and why do we use them for Machine Learning?
- What are classifiers and models in ML?
- What are supervised, unsupervised, regression, classification, clustering in ML?
- What are evaluation methods for regression, classification and clustering?
How it compares
Against the other 205 rated Udemy courses in Artificial Intelligence on CourseDuck:
- Rating4.1 out of 5higher than 15% of them
- Reviews65#182 of 206 by number of reviews
- Length3.5 hoursshorter than 56% of them
- Last updatedDecember 2022earlier than 84% of them
Quality Score
Overall Score : 82 / 100
Course Description
Course objective:
The sole objective of this course is to get you introduced with AI (Artificial Intelligence) and ML (Machine Learning). All the programs and projects that we are going to develop, are using Python programming language. So, You need Python knowledge.
If you are not familiar with Python programming language, You can take our FREE course on Python.
Learning outcomes:
After completing this course and assignments given to you, you will have:
- Multiple programs developed for Machine Learning
- Multiple complete projects developed for Machine Learning
- A complete ML model developed
- What is AI and What is ML?
- How AI and ML are different but related?
- What are DL, NLP, ANN, DNN etc.?
- What is Anaconda, Spyder, Jupyter etc. and how and why do we use them for Machine Learning?
- What are classifiers and models in ML?
- How to develop programs and projects of Machine Learning?
- Machine learning development environment with Python.
- Beginners curious for AI (Artificial Intelligence) and ML (Machine Learning).
- Engineering students who wants to learn AI and ML.
- Corporate professionals who wants to understand basic development in AI and ML.
- Trainers and teachers who wants a start in Artificial Intelligene.
Udemy Discount
The discount is applied through our link. Open the course from here and Udemy's current promotional price is applied at checkout on most courses, no code to type.
Some courses are excluded from Udemy's promotions. If the price does not drop, clear your browser cookies and use the button again.
Instructor Details
- 4.1 Rating
65 Reviews
Aalekh Rai
He is founder of KARD ( KARD is a pioneer company in Training domain since from 2015). He has delivered more than 300 training sessions across INDIA covering institutions like IIT, NIT, NSIT, AMITY, DTU, BITS etc.
Artificial Intelligence, Machine Learning and Internet of Things are the key areas where he takes technical workshops and training sessions across the country.
More Artificial Intelligence courses
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
5.0 (526 Reviews)
Provider: Coursera
Time: 15h
Free
Artificial Intelligence: Reinforcement Learning in Python (2026)
4.9 (10,817 Reviews)
- Provider: Udemy
- Time: 14.7h
$79.99
Reviews
By Julie Jolk
This is difficult to get through. I'm on Section 2 Chapter 5 and a lot of the time seems padded to make the course seem longer. On and on in Chapter 4 about Google technologies without much knowledge shared. I'm interested in the subject but I'll find something other than this course.
By Jameson Hill
So far, it has been presented at just the right level to give me a better understanding of the concepts despite not being a data scientist myself.
By Ameya Shetti
Nice tutorial. Great way to get started. Could have done better.
By Neel Rajeev Huzurbazar
The course was actually very good. It helped me to get understanding of "Ai" and "Ml" .
By Sumit Raj
Nice course to start with A.I
By Roberto
The videos have a lot of fade out/fade in. The content is fine.badly presented.
By Ravi Venkatesh
Overall, its a good course to get introduced to AI and ML. However, a lot of terms are left for self exploration or are explained in a very basic way. I had to google half of the stuff to get better idea of what the person was saying. The videos skip between lecture and text slides very often and this is bit annoying. Why not simply speak what you want to convey in the slides? If you really want to keep the current structure, increase the amount of time the text is shown. I do not like that I need to keep pausing the video multiple times.
- Video Duration:
3.5h - Price: $59.99
- Provider: Udemy
- Updated:
December 2022 - Level:
Beginner - Language:
English - Certificate:
Yes
30-day money-back guarantee on most paid courses
Udemy Coupon Price Tracker
