6 Best Machine Learning Courses to Learn
Students have been extensively looking for the best machine learning courses to learn because, with more evolution of the software industry the students, professionals have become more aware of the outcomes in their career as a data scientists.
BASED ON REVIEWS, THESE ARE THE 6 BEST MACHINE LEARNING COURSES TO LEARN IN 2020
Lately, machine learning has been in demand and that is very obvious because of the fact that the software industry is clearly evolving and expanding and the kind of scope and opportunities this industry is creating is absolutely unmatchable.
We’ll slowly start to see these machine learning algorithms being used in our day to day life, and it would be no surprise if someday you find machine learning as a part of high-school education as some sort of optional subject.
According to Glassdoor, the data scientist is one of the most celebrated professions with an average salary of $120,000 which reflects the kind of scope there is in the industry if one chooses to be A data scientist.
#1. MACHINE LEARNING A-Z: HANDS-ON PYTHON AND R IN DATA SCIENCE
The Machine Learning A-Z course is created by Kirill Eremenko, a professional data science management consultant, and Hadelin de Ponteves, an AI entrepreneur. While Kirill happens to be a professional with more than 5 years of experience, Hadelin is the CEO and co-founder of Bluelife AI. Together they have created this Machine Learning course for absolute beginners and amateurs who have relevant interests in Machine Learning.
Kirill and Hadelin are amongst the very few instructors on Udemy, who till now have managed to help over 1.4 million students through 100+ courses available of Udemy. Kirill and Hadelin hold a rating of 4.5 stars on their profile as instructors.
The prime objective of the “Machine Learning A-Z” course is to help the students understand the Machine Learning Algorithms in Python and R. The course curriculum, and objectives can be briefly understood through the following pointers:
- Learning to master machine learning on Python and R
- Making accurate predictions
- Making robust Machine Learning models
- Using Machine Learning for personal purpose
- Handling advanced techniques like dimensionality reduction
- Building an army of powerful Machine Learning” models and knowing how to combine them to solve any problem
- Having a great intuition of many Machine Learning models
- Making powerful analysis
- Creating a strong added value to the business
- Handling specific topics like Reinforcement Learning, NLP, and Deep Learning
- Know which Machine Learning model to choose for different types of problem
Well, the students, aspiring machine learning professionals, existing machine learning practitioners, and all those who join this course are just required to have the basic high-school level mathematics knowledge. This course will guide the students from the very basics of machine learning to the professional aspects of it.
The syllabus of the course includes some really interesting and important aspects of Machine Learning, and topics like Data PreProcessing, Clustering, Association Rule, Deep Learning, and more.
The course is highly recommended for students in college who look forward to having a career in Data Science, or those who want to upgrade their skills as data analysts. If you are among people who aspire to start a business that requires powerful Machine Learning operations, then you might as well want to learn it. It is very much suitable for the students, and people who know little about Machine Learning and want to expand their knowledge.
This Machine Learning Course includes 45 sections which contain a total of 323 sections and 45 hours on full high definition, on-demand video lectures. In addition to these video lectures, the enrolled students get 75 articles and 38 downloadable resources for additional support and assistance as they make progress with the course.
Students get full lifetime access to all the course material including, the downloadable resources, articles, and even the video lectures. Upon completion of the course, the students get a certification of completion which might prove to be quite a useful piece of document in your resume that eases your way through job applications and interviews.
More than 685,000 students, amateurs, and even professionals combined have received benefits from this course and the course page has more than 130,000 reviews which suggest every possible reason for why the “Machine Learning A-Z” course tops the list of best Machine Learning Courses to learn in 2020.
Course Type: Self-Paced
Rating: 4.5 stars out of 5
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#2. PYTHON FOR DATA SCIENCE AND MACHINE LEARNING BOOTCAMP
Python for Data Science and Machine Learning Bootcamp course primarily aims to help the students learn to use NumPy, Pandas, Seaborn, Matpltlib, Plotly, Scikit-Learn, Machine Learning, Tensorflow, and more.
A brief overview of this machine learning course which shows all the important topics, practices, procedures, and lessons covered through this course would include the following pointers:
- Using Python for Data Science and Machine Learning
- Implementing Machine Learning algorithms
- Learning to use Pandas for Data Analysis
- Using Scikit-Learn for Machine Learning Tasks
- Logistic Regression
- Random Forest and Decision Trees
- Neural networks
- Using spark for big data analysis
- Learning to use NumPy for Numerical Data
- Learning to use Matplotlib for Python Plotting
- Using Plotly for interactive dynamic visualizations
- K-Means Clustering
- Linear Regression
- Natural Language Processing and spam filters
- Supporting Vector machines
The curriculum of the course contains a lot more than these, and there are lessons to guide the students through every detail of this course. This Machine Learning course requires the students to have some programming experience and also it requires the Admin permissions to download files.
It is highly recommended for those who have prior experience or a little bit of knowledge on programming and are willing to learn data science and Machine Learning. The curriculum of this course includes 27 sections that contain a total of 165 lectures distributed through 25 hours of on-demand video lectures of full high definition quality.
For additional support and assistance, the students are provided with 13 articles and 5 downloadable resources to refer to as they make progress with the course. This Machine Learning course has been loved by the students and has received wonderful reviews.
It is created by Jose Portilla who is an experienced professional instructor and trainer for Data Science and Programming. His instructor profile on Udemy has a rating of 4.6 stars and he is one of the very few instructors who have managed to train close to 2 million students. That is a massive number.
Overall, “Python for Data Science and Machine Learning Bootcamp” is definitely one of the best Machine Learning courses to learn in 2020.
Course Type: Self-Paced
Rating: 4.6 stars out of 5
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#3. MACHINE LEARNING, DATA SCIENCE, AND DEEP LEARNING WITH PYTHON
The “Machine Learning, Data Science and Deep Learning with Python” course by Sundog Education aims to help students have their hands-on machine learning tutorials with data science, Tensorflow, artificial intelligence, and neural networks.
This Machine Learning course is developed by Frank Kane, the founder of Sundog Education. Frank has worked for some of the biggest companies in the world like Amazon, IMDb as web developers helping them with creating technology that automatically delivers product and movie recommendations to many customers.
Frank, through 14 of his courses, have managed to help 350,000+ students and professionals to learn many data science, web development skills, and close to 85,000 students have poured their love and respect for him through reviews. His profile on Udemy has a rating of 4.5 stars.
The course requires the students to have a desktop PC capable of supporting Anaconda 3 or newer and it will guide the students through the procedures of installing free necessary software. The students are also required to have a little bit of coding experience with basic mathematical skills from high school.
It is highly recommended for software developers or programmers who want to have a career in the machine learning industry. Those who have relevant skills and are really curious about learning machine learning might as well want to learn from this course. The data analysts from the non-tech industry like finance can also use the skills they get to learn from this course to analyze data use code instead of tools.
The course consists of 12 sections, 111 lectures, and 14 hours of full high definition on-demand video lectures that are accessible through smartphones, televisions, and laptops. Along with the mentioned, the students get access to 6 articles that contain highly necessary details, information, and content to assist the students as they make progress with the course.
The students and professionals who enroll in this machine learning course can expect to learn the following:
- They will learn to build artificial neural networks with Tensorflow and Kera
- Make predictions using linear regressions
- Polynomial regression
- Multivariate regression
- Implementing machine learning at a massive scale
- Classifying data using K-Means clustering
- Building a movie recommender system
- Designing and evaluating A/B testing using T-Tests and P-Values
- Classifying images, data, and sentiments using deep learning
- Data Visualization with MatPlotLib and Seaborn
- Understanding reinforcement learning and how to build a Pac-Man bot
- Using Train/Test and K-Fold cross-validation to choose and tune models
- Cleaning the input data to remove outliers
The course has received tremendous response from students. More than 130,000 students have taken this course and over 20,000 reviews suggest that the course is definitely one of the best Machine Learning courses to learn in 2020.
Course Type: Self-Paced
Rating: 4.5 stars out of 5
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#4. DATA SCIENCE AND MACHINE LEARNING BOOTCAMP WITH R
The core objective of this course is to help the students learn to use the R programming language for data science and machine learning and data visualization. Not surprisingly, this course is also created by Jose Portilla, one of the very well rated instructors on Udemy. Through this course alone, Jose Portilla has trained more than 60 thousand students. The course has a rating of 4.6 stars out of 5 from reviews by close to 12,000 of the students.
A brief overview of the course includes the following topics, that the students will get to learn through this course:
- Program in R
- Creating Data Visualizations
- Using R to manipulate data easily
- Using R for Data Science
- Using R for Data Analysis
- Using R to handle CSV, excel, SQL files or web scraping
- Using R for Machine Learning Algorithms
These are just the important highlights covered in the course, a more detailed version and more lessons will be introduced as the students actually go through the course. The curriculum of this course includes 35 sections, 127 lectures, and 18 hours of full high-definition on-demand video lectures.
This machine learning course is meant for beginners and therefore all it requires is basic mathematics skills and computer access with download privileges. This course is highly relevant and recommended for those who are willing to have a career as a data scientist.
The students have absolutely loved this course and it is a fairly potential option to consider in the list of best machine learning courses to learn in 2020.
Course Type: Self-Paced
Rating: 4.6 stars out of 5
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#5. INTRODUCTION TO MACHINE LEARNING FOR DATA SCIENCE
The “Introduction to Machine Learning for Data Science” course is developed by David Valentine, a professional enterprise architect with 17 years of experience in enterprise computing environments. He also happens to be one of the very well rated instructors on Udemy.
Till now, David has 3 courses published on Udemy which has combinedly helped more than 65,000 students to learn data science skills. His profile on Udemy is rated at 4.4 stars with reviews from 6000+ of his students.
As the name suggests, this course has been created for beginners, students, and amateurs, therefore all it requires is the passion to learn and basic computer skills. The students must understand the basic high-school level mathematics, however, statistics are not required to understand this course.
This course is highly recommended to all those who have relevant interests in learning data science and machine learning. People with business ideas that require machine learning operations can also join this course.
The course includes 14 sections, 62 lectures, and 6 hours of full high definition on-demand video lectures that are very conveniently accessible through smartphones, laptops, and even television. Along with this, the students get access to 1 article and 11 downloadable resources for additional support and assistance.
A brief overview of the course that contains some of the important highlights and topics covered in this course includes:
- Students get to understand computer science, algorithms, programming, data, big data, artificial intelligence, etc
- The effect of machine learning and data science in daily life
- The capacity of machine learning to solve problems
- Understanding how the numerous domains fit together and what are the differences and how we can avoid the marketing fluff
- Understanding computer technology that has changed the world, with an appreciation of scale
- Avoiding problems with machine learning to successfully implement
However, there is a lot more to just these in detail in the lessons included in the curriculum. The prime objective of this course is to help even normal people to understand machine learning and data science through lessons developed by backyard data scientists.
Course Type: Self-Paced
Rating: 4.4 stars out of 5
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#6. SCALA AND SPARK FOR BIG DATA AND MACHINE LEARNING
It’s not at all shocking to find another machine learning course by Jose Portilla. Jose has close to 30 courses on Udemy, and with these only he has managed to train 2 million students. Most of his data science courses are the best selling or highest-rated and therefore it’s no surprise to find Jose’s courses multiple times in the list of best machine learning courses to learn in 2020.
This course requires the students to have basic programming knowledge in some language to know the fundamental approach of learning data science through machine learning. The students are also required to have basic math skills and a good hold over the English language.
This machine learning course by Jose is very relevant for those who already know how to program and are interested in learning Big Data Technologies and those who are interested in using Spark with Scala for machine learning with large data sets might also find this course useful.
The course consists of 17 sections, 80 lectures, and 11 hours of on-demand video lectures that are easily accessible through smartphones, laptops, tablets, and even television. Along with the mentioned, the students get free access to 12 articles and 5 downloadable resources.
The students can expect to learn the following:
- How to use scala for programming
- Using spark to process large datasets
- Using spark 2.0dataframes to read and manipulate data
- Understand how to use a spark on AWS and DataBricks
The reviews on this course are outstanding and reflect every reason why this course deserves to be on the list of best machine learning courses to learn in 2020.
Course Type: Self-Paced
Rating: 4.5 stars out of 5
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These were some of the very potential options that one must consider while looking for the best machine learning courses to learn in 2020.
