Complete Machine Learning & Reinforcement learning 2023

About Complete Machine Learning & Reinforcement learning 2023

_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 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:_ 1. An intuition of the algorithm and its applications. 2. The mathematics that lies under the hood. 3. Coding with python from scratch. 4. Assignments to get your hand dirty with machine learning. 5. Learn more about different Python Data science libraries like Pandas, NumPy & Matplotlib. 6. 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.