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Machine Learning with Hands-On Examples

Use Scikit, learn NumPy, Pandas, Matplotlib, Seaborn and dive in Machine Learning with Python real life exercises
0.0
0.0/5
(0 reviews)
1 students
Created by Oak Academy

9.8

CourseMarks Score®

10.0

Freshness

N/A

Feedback

9.2

Content

Platform: Udemy
Price: $11.99
Video: 3h 51m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

9.8 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

10.0 / 10
This course was last updated on 3/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

We analyzed factors such as the rating (0.0/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

9.2 / 10
Video Score: 8.1 / 10
The course includes 3h 51m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 10.0 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

2 articles.
0 resource.
0 exercise.
0 test.

Table of contents

Description

Hello there,
Welcome to the “Machine Learning with Hands-On Examples” course.
Do you know data science needs will create 11.5 million job openings by 2026?
Do you know the average salary is $100.000 for data science careers!
Data Science Careers Are Shaping The Future
Data science experts are needed in almost every field, from government security to dating apps. Millions of businesses and government departments rely on big data to succeed and better serve their customers. So data science careers are in high demand.
•If you want to learn one of the employer’s most request skills?
•If you are curious about Data Science and looking to start your self-learning journey into the world of data with Python?
•If you are an experienced developer and looking for a landing in Data Science!
In all cases, you are at the right place!
We’ve designed for you “Machine Learning with Hands-On Examples” a straight-forward course for Python Programming Language and Machine Learning.
In the course, you will have down-to-earth way explanations with projects. With this course, you will learn Machine Learning step-by-step. I made it simple and easy with exercises, challenges, and lots of real-life examples.
We will open the door of the Data Science and Machine Learning world and will move deeper. You will learn the fundamentals of Machine Learning and its beautiful libraries such as Scikit Learn.
Throughout the course, we will teach you how to use Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms.
This Machine Learning course is for everyone!
My “Machine Learning with Hands-On Examples” is for everyone! If you don’t have any previous experience, not a problem! This course is expertly designed to teach everyone from complete beginners, right through to professionals ( as a refresher).
Why we use a Python programming language in Machine learning?
Python is a general-purpose, high-level, and multi-purpose programming language. The best thing about Python is, it supports a lot of today’s technology including vast libraries for Twitter, data mining, scientific calculations, designing, back-end server for websites, engineering simulations, artificial learning, augmented reality and what not! Also, it supports all kinds of App development.
What you will learn?
In this course, we will start from the very beginning and go all the way to the end of “Machine Learning” with examples.
Before each lesson, there will be a theory part. After learning the theory parts, we will reinforce the subject with practical examples.

During the course you will learn the following topics:
•What is Machine Learning?
•Machine Learning Terminology
•Evaluation Metrics
•What is Classification vs Regression?
•Evaluating Performance-Classification Error Metrics
•Evaluating Performance-Regression Error Metrics
•Supervised Learning
•Cross-Validation and Bias Variance Trade-Off
•Use Matplotlib and seaborn for data visualizations
•Machine Learning with SciKit Learn
•Linear Regression
•Logistic Regression
With my up-to-date course, you will have a chance to keep yourself up-to-date and equip yourself with a range of Python programming skills. I am also happy to tell you that I will be constantly available to support your learning and answer questions.
Why would you want to take this course?
Our answer is simple: The quality of teaching.
When you enroll, you will feel the OAK Academy`s seasoned developers’ expertise.
Video and Audio Production Quality
All our videos are created/produced as high-quality video and audio to provide you the best learning experience.
You will be,
•Seeing clearly
•Hearing clearly
•Moving through the course without distractions

You’ll also get:
•Lifetime Access to The Course
•Fast & Friendly Support in the Q&A section
•Udemy Certificate of Completion Ready for Download
We offer full support, answering any questions.
If you are ready to learn Machine Learning with Hands-On Examples
Dive in now! See you in the course!

Requirements

• Basic knowledge of Python Programming Language
• Be Able To Operate & Install Software On A Computer
• Free software and tools used during the course
• Determination to learn and patience.Motivation to learn the the second largest number of job postings relative program language among all others

You will learn

✓ Learn Machine Learning with Hands-On Examples
✓ What is Machine Learning?
✓ Machine Learning Terminology
✓ Evaluation Metrics
✓ What are Classification vs Regression?
✓ Evaluating Performance-Classification Error Metrics
✓ Evaluating Performance-Regression Error Metrics
✓ Supervised Learning
✓ Cross Validation and Bias Variance Trade-Off
✓ Use matplotlib and seaborn for data visualizations
✓ Machine Learning with SciKit Learn
✓ Linear Regression
✓ Logistic Regresion

This course is for

• Anyone who wants to start learning “Machine Learning”
• Anyone who needs a complete guide on how to start and continue their career with machine learning
• Software developer who wants to learn “Machine Learning”
• Students Interested in Beginning Data Science Applications in Python Environment
• People Wanting to Specialize in Anaconda Python Environment for Data Science and Scientific Computing
• Students Wanting to Learn the Application of Supervised Learning (Classification) on Real Data Using Python

How much does the Machine Learning with Hands-On Examples course cost? Is it worth it?

The course costs $11.99. And currently there is a 87% discount on the original price of the course, which was $94.99. So you save $83 if you enroll the course now.

Does the Machine Learning with Hands-On Examples course have a money back guarantee or refund policy?

YES, Machine Learning with Hands-On Examples has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Machine Learning with Hands-On Examples course, but there is a $83 discount from the original price ($94.99). So the current price is just $11.99.

Who is the instructor? Is Oak Academy a SCAM or a TRUSTED instructor?

Oak Academy has created 159 courses that got 4,096 reviews which are generally positive. Oak Academy has taught 45,545 students and received a 4.4 average review out of 4,096 reviews. Depending on the information available, Oak Academy is a TRUSTED instructor.

More info about the instructor, Oak Academy

LONG LIVE TECH KNOWLEDGE
Hi there,By 2024, there will be more than 1 million unfilled computing jobs and the skills gap is a global problem. This was our starting point.At OAK Academy, we are the tech experts who have been in the sector for years and years. We are deeply rooted in the tech world. We know the tech industry. And we know the tech industry’s biggest problem is the “tech skills gap” and here is our solution.OAK Academy will be the bridge between the tech industry and people who-are planning a new career-are thinking career transformation-want career shift or reinvention,-have the desire to learn new hobbies at their own paceBecause we know we can help this generation gain the skill to fill these jobs and enjoy happier, more fulfilling careers. And this is what motivates us every day.We specialize in critical areas like cybersecurity, coding, IT, game development, app monetization, and mobile. Thanks to our practical alignment we are able to constantly translate industry insights into the most in-demand and up-to-date courses,OAK Academy will provide you the information and support you need to move through your journey with confidence and ease.Our courses are for everyone. Whether you are someone who has never programmed before, or an existing programmer seeking to learn another language, or even someone looking to switch careers we are here.OAK Academy here to transforms passionate, enthusiastic people to reach their dream job positions.If you need help or if you have any questions, please do not hesitate to contact our team.

9.8

CourseMarks Score®

10.0

Freshness

N/A

Feedback

9.2

Content

Platform: Udemy
Price: $11.99
Video: 3h 51m
Language: English
Next start: On Demand

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