Machine Learning is currently one of the top skills that are on high demand in the corporate world. This is truly a career game-changer for Technology Professionals. Udemy offers a wealth of Machine Learning courses to help you become a high-end executive. After extensively researching the Udemy courses, we have listed the Best Six Machine Learning Courses, Certifications, Classes, Tutorials, and Training programs available online for 2022.
6 Best Udemy Machine Learning Courses & Tutorials [2022 SEPTEMBER]
1. Machine Learning A-Z: Hands-On Python & R In Data Science (Udemy)
Learn the use of Python and R programming languages in Data Science and Machine Learning in this Udemy course. Get to know how to create Machine Learning algorithms with sample code templates. The instructor of this course, Kirill Eremenko, and Hadelin de Ponteves are renowned Data Science experts, and Artificial Intelligence and Machine Learning educators. The instructors will step-by-step take you through the world of Machine Learning. Some high school level Mathematical knowledge is all you need to get into this course.
Highlights –
– Learn to make accurate predictions, robust Machine Learning models, and authoritative analysis to use Machine Learning for different purposes.
– Get to know the right Machine Learning models and the best practices of combining them to solve each type of problem.
– Learn how to handle advanced techniques like Reinforcement, Dimensionality Reduction, Deep Learning, and NLP.
– Learn Data Preprocessing, Polynomial Regression, Support Vector Regression, Decision Tree Regression, and Random Forest Regression.
– Learn Classification, KNN, Native Bytes, Eclat, Apriori, Thompson Sampling, Language Processing, Kernel PCA, Model Selection, XGBoost.
– Get the entire code folder, PDF learning resources, and regularly updated course content.
Duration: Self-paced
Rating: 4.5 out of 5
You can Sign up Here
2. Python for Data Science and Machine Learning Bootcamp (Udemy)
This course by Udemy teaches the usages of Python programming language in Machine Learning and Data Science to help you become a great Data Scientist. In this comprehensive course, you will learn how to analyze data and use Machine Learning algorithms with the power of Python. The instructor of this tutorial, Jose Portilla, is a professional Data Science Trainer. He has trained the employees of many globally recognized companies. The course is beginner-friendly. However, it would help if you have some programming experience.
Highlights –
– Learn to use Tensorflow, Scikit-Learn, Plotly, Matplotlib, Seaborn, Pandas, NumPy, and much more in Machine Learning.
– Learn about Natural Language Processing, Linear Regression, Logistic Regression, Neural Networks, K-Means Clustering, Spam Filters, and much more.
– Get to know about Jupyter Notebooks, Bias Variance, KNN Theory, Random Forest, Decision Trees, and Cross-Validation Trade-Offs.
– Get to know the Support Vector Machines, Principal Component Analysis, Recommender Systems, Deep Learning, and Neural Nets.
– The course facilitates 25 hours of on-demand HD video lessons, and code notebooks for each lecture.
– Get lifetime flexible access to the course content and a course completion certificate.
Duration: Self-paced
Rating: 4.5 out of 5
You can Sign up Here
3. Machine Learning, Data Science and Deep Learning with Python (Udemy)
This another hands-on Machine Learning tutorial by Udemy teaches you how you can use Python in Machine Learning. The instructor of this tutorial, Frank Kane, is a former IMDb and Amazon employee highly experienced in Machine Learning. He is the founder of Sundog Education by Frank Kane, an institute to train people in Machine Learning, Data Science, and Big Data. To enroll in this course, you need a computer that is capable of running the latest versions of Python and Anaconda 3.
Highlights –
– Learn the best practices of using Keras and Tensorflow to build robust Artificial Neural Networks.
– Learn to evaluate and design A/B Tests using P-Values, and T-Tests, and make predictions using the Polynomial Regressions, Linear Regressions, and Multivariate Regressions.
– Learn to classify data, and images using Deep Learning, and remove outliers by cleaning your input data.
– Learn to use user-based and item-based collaborative filtering to build an effective movie recommender system.
– Learn about MatPlotLib, Seaborn, Support Vector Machines, Native Bayes, Decision Trees, and lots more.
– Get lifetime course access and course completion certificate at the end of the course.
Duration: Self-paced
Rating: 4.5 out of 5
You can Sign up Here
4. Data Science and Machine Learning Bootcamp with R (Udemy)
This course by Udemy is solely focused on teaching R programming language and the uses for Machine Learning, and Data Visualization. The course is entirely beginner-friendly best for people who have no programming language and want to start their career as a Data Scientist. The instructor of this tutorial, Jose Portilla, is a Data Science expert and has experience of working as Head of Data Science in renowned companies. You need to have the necessary Math skills to enroll in this course.
Highlights –
– Get proper guidance to install and set up R on Windows, Mac, and Linux operating systems.
– Learn the best practices of the R programming language to manipulate Data and create Data Visualizations easily.
– Learn how to use R for handling SQL files, web scrapping, Excel, and Data Analysis.
– Learn about R Matrices, R Lists, R Data Frames, and Data Input and Output.
– Get lifetime access to the 17.5 hours of on-demand video lessons, articles, and other downloadable resources accessible on the TV and mobile devices.
– You will get a course completion certificate and a 30-day money-back guarantee with this course.
Duration: Self-paced
Rating: 4.6 out of 5
You can Sign up Here
5. Machine Learning with JavaScript (Udemy)
If you are looking for learning how to assemble the algorithms of Machine Learning from scratch using JavaScript, then this course by Udemy must be your go-to resource. This hands-on projects-based Machine Learning course teaches you the use of JavaScript and TensorflowJS in Machine Learning. The instructor of this course, Stephen Grider, is a San Francisco Bay area-based Engineering Architect experienced in working with complex JavaScript projects for some top corporations. You need to have basic knowledge of Math equations, and command, and terminal line usages to enroll in this course.
Highlights –
– Learn how Machine Learning works standalone without depending on mysterious libraries and grow a strong intuition.
– Supercharge the algorithms with the use of the low-level TensorflowJS features to build exciting applications using JS.
– Get started to use the Gradient Descent with Tensorflow and Gradient Descent Alterations to see how they work together.
– Learn Linear Regression Class, Data Processing, Calculation Accuracy, MSE History, Learning Rate Optimization, and Vectorized Solution.
– Get to know Natural Binary Classification, Multi-Value Classification, Image Recognition, Performance Optimization, Custom CSV Loading, and how to Plot Data with JavaScript.
Duration: Self-paced
Rating: 4.6 out of 5
You can Sign up Here
6. DP – 100: A-Z Machine Learning Using Azure Machine Learning (Udemy)
Learn from A to Z of Machine Learning using Azure Machine Learning Studio. People who want to learn Machine Learning without coding can opt for this course without a second thought. Learn to bring great value to your organization by Learning Machine Learning on Cloud. The instructor of this course, Jitesh Khurkhuriya, is an experienced Data Scientist, and Digital Transformation Consultant leading a renowned Data Science and Machine Learning Institute for over 20 years. You need to have a free or paid subscription to Microsoft Azure and basic Mathematics knowledge to enroll in this course.
Highlights –
– Learn how to effectively work with Data Science projects and build Machine Learning algorithms within minutes.
– Get to know the intuition and concepts of Machine Learning and deploy production-grade models.
– The course offers a cheat sheet to help you choose the right Machine Learning algorithms and create Machine Learning Webservices.
– Learn Data Processing, Classification, Text Analysis, Hyperparameter Tuning, Regression Analysis, Clustering, Feature Selection, Recommendation System, and Natural Language Processing.
– Get lifetime access to 11 hours of on-demand video lessons, articles, downloadable resources, and course completion certificate.
Duration: Self-paced
Rating: 4.5 out of 5
You can Sign up Here
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