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5 Best Machine Learning Courses on Udemy

Machine Learning is a growing field that has had its way in various industries, such as robotics and finance. Machine learning technology works by analysing data from past experiences, and making a sense of that information to make predictions. Many apps, websites and devices have adopted machine learning to enhance experience for users.The job market of machine learning is also budding, and skilled people in the profession are sought after. If you’re wishing to get into machine learning, you can grab some courses from Udemy. In this guide, we show you the best courses for learning Machine Learning on Udemy.

1. Python for Data Science and Machine Learning Bootcamp

This comprehensive course teaches you Machine Learning anf Data Science with Python. You will learn by solving real-world problems in the course. The course begins by taking you through the basics of machine learning, and data science algorithms. The course aims to give you solid foundation of machine learning and data science, and will cover a wide range of topics. You will get to learn about Spark for big Data Analysis, Pandas for data analysis, Matplotlib and Seaborn for plotting, NumPy for numerical data, Plotly for interactive visualizations, SciKit-Learn for machine learning tasks, and more. There are also contents on random forest and decision trees, natural language processing, logistic regression, linear regression, and more.

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2. Machine Learning A-Z™: Hands-On Python & R In Data Science

Another great Machine Learning course on Udemy, this course takes you through the theory and practical aspect of Machine language. The course is suited for beginners, and if you have no prior knowledge of machine learning, you can begin with this. You will learn how to implement Machine Learning algorithms. The course employs Python and R in teaching you how to implement. The course doesn’t have advanced topics but gives you a strong foundation with the basics. You will learn about Data Preprocessing, Regression: Simple Linear, Regression, Multiple Linear, Decision Tree Classification, Random Forest Classification. The course will also take you through Deep Learning and networks: Artificial Neural Networks, Convolutional Neural Networks

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3. Scala and Spark for Big Data and Machine Learning

The course on machine learning focuses on Scala and Spark, which are powerful technologies in the world of machine learning. The course is taught by Jose Portilla (Head of Data Science, Pierian Data Inc.), and boasts of having a rating of 4.6 which is very impressive. With Scala, you can process tasks of large-scale data, while Spark helps to distribute data processing on large datasets. When used together,.they are powerful combo that is used in data science. If you want to engage in large-scale data processing, and don’t know where to start, this course will be of great help. The course starts with an introduction to Scala programming, and you get to know how to use Spark to process large datasets.

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4. Python & Machine Learning for Financial Analysis

This course teaches you how to use Python in Machine Learning. You learn to use Python to solve problems in finance. The course helps you get a fundamentals of Python programming, and then moves to teaching you Python for financial analysis. At the end of the course, you will be able to learn how to predict stock price using machine learning algorithms. You will learn K-Means Clustering, Principal Components Analysis, Natural Language Processing, Deep Neural Networks such as Long Short Term Memory (LSTM) networks. You will learn to use all these to perform sticks sentiment analysis.

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5. Machine Learning, Data Science and Deep Learning with Python

This 14.5 hours course is a Python course for machine learning. You will learn machine language from the course in a practical manner. The course will teach you Deep Neural Networks such as Long Short Term Memory (LSTM) networks, Feature Engineering, Hyperparameter, Regression analysis, Reinforcement Learning, Tuning, and much more. You will be asked to work on a project to solidify your learning. There are are also a variety of Python code examples for reference and practice.

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Rounding Up…

To learn a skill the proper way requires that we have have access to quality training content, so that it makes our learning journey smooth. The courses listed here will do that for you, as they are excellent courses that will improve your skills in the craft. We hope you found this helpful? If you did, kindly leave a comment, and don’t forget to share…

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