Complete Machine Learning & Reinforcement learning 2023 (Udemy.com)
Start Machine Learning & Data Science era with Python ,Math & Libraries like: SKlearn , Pandas , NumPy, Matplotlib & Gym
Created by: SkyHub Academy
Last updated July 2023
What you will learn
- Achieve the mastery in machine learning from simple linear regression to advanced reinforcement learning projects.
- Get a deeper intuition about different Machine Learning nomenclatures.
- Be able to manipulate different algorithms with the power of Mathematics.
- Write different kinds of algorithms from scratch with Python.
- Be able to preprocess any kind of Datasets.
- Solve and Deal with different real-life and businesses problems from the outside world.
- Deal with different machine learning and data science libraries like: Sikit-Learn, Pandas , NumPy & Matplotlib.
- Explore the Data science world by handling, prepossessing and visualizing any kind of data set .
- Make designs with advanced ML algorithms like the Reinforcement Leaning and handle different projects with the Gym library .
How it compares
Against the other 155 rated Udemy courses in Machine Learning on CourseDuck:
- Rating4.3 out of 5higher than 36% of them
- Reviews176#110 of 156 by number of reviews
- Length27.2 hourslonger than 87% of them
- Last updatedJuly 2023more recently than 51% of them
Quality Score
Overall Score : 86 / 100
Course Description
Hello there,
- If the word 'Machine Learning' baffles your mind and you want to master it, then this Machine Learning course is for you.
- If you want to start your career in Machine Learning and make money from it, then this Machine Learning course is for you.
- If you want to learn how to manipulate things by learning the Math beforehand and then write a code with python, then this Machine Learning course is for you.
- If you get bored of the word 'this Machine Learning course is for you', then this Machine Learning course is for you.
So we introduce to you the complete ML course that you need in order to get your hand on Machine Learning and Data Science, and you'll not have to go to other resources, as this ML course collects most of the knowledge that you'll need in your journey.
We believe that the brain loves to keep the information that it finds funny and applicable, and that's what we're doing here in SkyHub Academy, we give you years of experience from our instructors that have been gathered in just one an interesting dose.
Our course is structured as follows:
- An intuition of the algorithm and its applications.
- The mathematics that lies under the hood.
- Coding with python from scratch.
- Assignments to get your hand dirty with machine learning.
- Learn more about different Python Data science libraries like Pandas, NumPy & Matplotlib.
- Learn more about different Python Machine learning libraries like SK-Learn & Gym.
- Simple Linear Regression
- Multiple Linear Regression
- Polynomial Regression
- Lasso Regression
- Ridge Regression
- Logistic Regression
- K-Nearest Neighbors (K-NN)
- Support Vector Machines (SVM)
- Kernel SVM
- Naive Bayes
- Decision Tree Classification
- Random Forest Classification
- Evaluating Models' Performance
- Hierarchical Clustering
- K-Means Clustering
- Principle Component Analysis (PCA)
- Pandas (Python Library for Handling Data)
- Matplotlib (Python Library for Visualizing Data)
And as a bonus, this course includes Python code templates which you can download and use on your own projects.Who this course is for:
- Newbies to Machine Learning.
- Any one who wants to boost his skills in Data Science and Machine Learning with Mathematics.
- Any people who are not satisfied with their job and who want to become a Data Scientist.
Instructor Details
- 4.3 Rating
176 Reviews
SkyHub Academy
Hi there,
We're more than glad that you're reading this.
We're SkyHub Academy, an educational academy specialized for the field of Machine Learning and Data Science. We've have a vision that we want everyone who have a passion inside towards that field, to easily get to the road quickly without wasting his time in meaningless classes and books that keep him away from progress.
We're presenting Complete Courses that make you get your hands dirty in the fields of Data Science without the need for other resources, all in one place.
Professionally, we've a group of skilled data scientists with years of experience, and they're ready to give you the help you need to achieve the mastery in the world of Data Science and Machine Learning.
We're extremely excited to see you here with us in our journeys!
See you there our friend.
Reviews
Crystal Clear explanation! The author is engaging and speaks in a lively manner. I understand Machine Learning better after he explains the concepts. Hope the author can create more courses to share his knowledge! Thanks!!!!
Trainer need to be slow and should control the pace of delivering the training contents. Improvement in the video quality is much needed as the video getting blur randomly in between. More examples would help.
A very strong course with many applications, and Alee is a very nice nice instructor you can not get bored while learning from him.
really a nice journey, many machine learning applications with python, also the math is well illustrated.
When describing the hypotheses function instructor used different notations as compared to the linear regression expression i have studied till now which is Slope-Intercept linear equation formula y = m * x + b. the different notations made it difficult to interpret at first . The words of the instructor aren't very clear though understandable when listen then very carefully.
The course uses helpful animations to convey the concepts being covered. I like the delivery format and the course covers a lot of ML concepts
very informative course and well organized that covers the machine learning deeply , the explanation way is simple while it goes in depth and the instructor is very engaging ,they did nit waste time but they go direct to the point
a small problem in the automatic caption but the spoken English is very clear and easy to understand
the classification section is very strong as it covers mostly all things
also the linear regression section is done in depth with all math and python requirements
The instructors are knowledgeable and funny, and the course dive through important deep details, as the algorithms are easy to be understood.




