The Complete Machine Learning 2022-Python, Math-Dummy To Pro (Udemy.com)

Start Machine Learning & Data Science era with Python ,Math & Libraries like: SKlearn , Pandas , NumPy, Matplotlib & Gym

( 31 Reviews )

Created by: SkyHub Academy

Produced in 2022

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 .

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 88 / 100

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Course Description

Humans learn from past experience, so why not machine learn as well?
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.

Well, machine learning is becoming a widely-used word on everybody's tongue, and this is reasonable as data is everywhere, and it needs something to get use of it and unleash its hidden secrets, and since humans' mental skills cannot withstand that amount of data, it comes the need to learn machines to do that for us.
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.

The topics in this course come from an analysis of real requirements in data scientist job listings from the biggest tech employers. We'll cover the following:

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)

Note: this course is continuously updated ! So new algorithms and assignments are added in order to cope with the different problems from the outside world and to give you a huge arsenal of algorithms to deal with. Without any other expenses.
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.

Time: 25h

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Instructor Details

SkyHub Academy

4.4 Rating
31 Reviews

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.

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Reviews

4.4

31 total reviews

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By Imran Q on

The insructors may well be experienced in their fieldbut I just lost the will to continue and find out around lecture 17. The instructors' accents are very thick and make the course very difficult to understand. I tried really hard to focus and stay with the course but I really found it extremely difficult to get into tune with the bad English. It's almost like the course is being delivered in a foreign language!What made the whole experience worse is that the captions which I assume are auto-generated dont work and create words such as badass and other nonsense words from the instructors words which just shows how difficult the course is to understand. Regretfully I have to apply for a refund from Udemy.

By Dave Robinson on

I think I've rushed my judgement on this course. It's really interesting and it gets in depth details as you move further. I like the instructors as well.

By Shamsheer Ahmed Sheikh on

Accent in little difficult to understand,even the transcript is not good.however the content seems to be very good

By Srinivasulu Kadaveru on

Each and Every Lecture and associated practice sessions were nicely composed. This course really did Justice to cover Complete Machine Learning Subject Essence in Good style. Thanks a Lot Sir for helping Students us!.

By Pavan Kumar Akula on

The course is going good at a very steady pace. The instructor has covered the basics of Simple Linear Regression at a greater depth. Also he has explained a few concepts in a very interesting way. These are my initial insights about the course. I will update my review and rating as the course progresses.Interesting point:1) Simple Linear Regression was implemented using Numpy library.2) Instructors are very responsive to our messages and admit their mistakes if any in the course.Things to Improve:1) Instructor is talking at a very fast pace but slowing down the video using Udemy controls will not help me at all. I have to listen very keen to him in order to understand the words correctly. The Subtitles that are generated automatically aren't helping either.2) Instructors in addition to this wonderful course, should create Subtitles on their own for the videos which may help others to follow them easily.

By Andres on

The content actually is full of information. You need to go through the course a little bit to figure out the beautiful and easy explanations. I am really enjoying it.

By Eng hassob on

a very good course that that is designed in a well organized mannerthe classification sections goes in depth

By Asad Rahman on

In this course particularly geometric intuition of each and every topic is excellent. Lots of animation and graphics they used for explaining the algos.

By Shareq Rashid on

This is such a great course. Exactly what I needed. I didn't want a Math degree, i just wanted to know how to build models. Thank you very much for making this resource.

By Maher Ali on

it is a very strong course with great effort in the explanation.the best part is that it can collect massive practical applications with the theory and the math behind so a can get the most benefitonly the note is that it need more content to be added in the reinforcement leaning section but at all the reinforcement learning section is very very great with real application discussedMr Hossam explains very well |and Mr Alee is very funny and direct to the point

By Azhar Majkure on