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Courses>Data Science>Machine Learning with Python|Business Applications|AI Robot
DevelopmentMachine Learning with Python|Business Applications|AI Robot
Price:Paid
Length:11 hours
Content type:video
level:all levels
Updated:28 February 2024
Published:22 August 2022
Similar courses
Opportunities
Courses>Data Science>Machine Learning with Python|Business Applications|AI Robot
Machine Learning with Python|Business Applications|AI Robot
3.3 (235.0)
11 hours
235 students
What you will learn
1build a complete intelligent robot that is able to go out of a maze by its own learning !
2Achieve the mastery in machine learning from in the reinforcement learning and the classification tracks.
3Get a deeper intuition about different Machine Learning nomenclatures.
4Write different kinds of algorithms from scratch with Python.
5Learn the python programming language to the advanced levels.
6Be able to preprocess any kind of Datasets.
7Solve and Deal with different real-life and businesses problems from the outside world.
8Deal with different machine learning and data science libraries like: Sikit-Learn, Pandas , NumPy & Matplotlib.
9Explore the Data science world by handling, prepossessing and visualizing any kind of data set.
10Make designs with advanced ML algorithms like the Reinforcement Leaning and handle different projects with the Gym library .
11Design the logistic regression classifier Algorithm with python.
12Design the decision trees classifier Algorithm with python.
13Design the random forest classifier Algorithm with python.
14Design the decision trees classifier Algorithm with python.
15Design the Naive Bayes Classifier Algorithm with python.
16Design the Support Vector Machine Classifier Algorithm with python .
17Design the Kernel Support Vector Machine Classifier Algorithm with python.
18Design the K-Nearest Neighbor Classifier Algorithm with python.
19Learn how to Evaluate the different Classification Models
20Design the Q-Learning Algorithm with python.
Target audiences
1machine learning students
2machine leaning engineers
3data science students
4data scientists
5python programming language students
6python programming language developers
7R programming language developers and students
8artificial intelligence students
Requirements
1open mind to learn through that long journey !
2some basic mathematics knowledge
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
Description

by the end of this course you will be able to construct your own artificial intelligence software robot !

Hello everyone,

  • 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.

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: 

  • Logistic Regression

  • K-Nearest Neighbors (K-NN)

  • Support Vector Machines (SVM)

  • Kernel SVM

  • Naive Bayes

  • Decision Tree Classification

  • Random Forest Classification

  • Evaluating Models' Performance

  • Reinforcement learning Q-leaning algorithm


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.

the best part of this machine leaning course is that is cope with all machine leaning students levels
if you are a very beginner in machine leaning so this machine learning course is for you
and if your machine learning level is intermediate so this machine leaning course is also for you
and if you have an advanced level in machine leaning so this machine leaning is also for you
as we re discussing many machine leaning algorithms that has many machine learning steps to be suitable for all machine leaning students

Similar courses
Opportunities
Make the most out of your online education
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Copyright © 2021 Careertail.
All rights reserved
Quick Links
Get StartedLog InAbout UsCourses
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Careertail
Courses>Data Science>Machine Learning with Python|Business Applications|AI Robot
DevelopmentMachine Learning with Python|Business Applications|AI Robot
Price:Paid
Length:11 hours
Content type:video
level:all levels
Updated:28 February 2024
Published:22 August 2022
Similar courses
Opportunities
Courses>Data Science>Machine Learning with Python|Business Applications|AI Robot
Machine Learning with Python|Business Applications|AI Robot
3.3 (235.0)
11 hours
235 students
What you will learn
1build a complete intelligent robot that is able to go out of a maze by its own learning !
2Achieve the mastery in machine learning from in the reinforcement learning and the classification tracks.
3Get a deeper intuition about different Machine Learning nomenclatures.
4Write different kinds of algorithms from scratch with Python.
5Learn the python programming language to the advanced levels.
6Be able to preprocess any kind of Datasets.
7Solve and Deal with different real-life and businesses problems from the outside world.
8Deal with different machine learning and data science libraries like: Sikit-Learn, Pandas , NumPy & Matplotlib.
9Explore the Data science world by handling, prepossessing and visualizing any kind of data set.
10Make designs with advanced ML algorithms like the Reinforcement Leaning and handle different projects with the Gym library .
11Design the logistic regression classifier Algorithm with python.
12Design the decision trees classifier Algorithm with python.
13Design the random forest classifier Algorithm with python.
14Design the decision trees classifier Algorithm with python.
15Design the Naive Bayes Classifier Algorithm with python.
16Design the Support Vector Machine Classifier Algorithm with python .
17Design the Kernel Support Vector Machine Classifier Algorithm with python.
18Design the K-Nearest Neighbor Classifier Algorithm with python.
19Learn how to Evaluate the different Classification Models
20Design the Q-Learning Algorithm with python.
Target audiences
1machine learning students
2machine leaning engineers
3data science students
4data scientists
5python programming language students
6python programming language developers
7R programming language developers and students
8artificial intelligence students
Requirements
1open mind to learn through that long journey !
2some basic mathematics knowledge
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
Description

by the end of this course you will be able to construct your own artificial intelligence software robot !

Hello everyone,

  • 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.

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: 

  • Logistic Regression

  • K-Nearest Neighbors (K-NN)

  • Support Vector Machines (SVM)

  • Kernel SVM

  • Naive Bayes

  • Decision Tree Classification

  • Random Forest Classification

  • Evaluating Models' Performance

  • Reinforcement learning Q-leaning algorithm


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.

the best part of this machine leaning course is that is cope with all machine leaning students levels
if you are a very beginner in machine leaning so this machine learning course is for you
and if your machine learning level is intermediate so this machine leaning course is also for you
and if you have an advanced level in machine leaning so this machine leaning is also for you
as we re discussing many machine leaning algorithms that has many machine learning steps to be suitable for all machine leaning students

Similar courses
Opportunities
Make the most out of your online education
Careertail
Copyright © 2021 Careertail.
All rights reserved
Quick Links
Get StartedLog InAbout UsCourses
Company
BlogContactsPrivacy PolicyCookie PolicyTerms and Conditions
Stay up to date
Trustpilot