If you are looking to begin a career in the world of data science, then you need to learn about Machine Learning and Deep Learning. This technology has made its way across many industries, including marketing, healthcare, finance, and education. It uses data to identify patterns and make predictions that help organizations achieve their goals. One of the best courses out there to learn about Machine Learning is Machine Learning & Deep Learning in Python & R, and in this review, we will explore its features, benefits, and everything else you need to know.
Course Overview
The Machine Learning & Deep Learning in Python & R course is an online course aimed towards people who want to start their careers in data science but don't know where to begin or seasoned professionals who seek to improve their knowledge in Machine Learning and Deep Learning tools.
The Machine Learning & Deep Learning in Python & R course is designed to teach the basic theoretical concepts of Machine Learning, followed by an in-depth discussion of how these concepts can be applied to real-world data using Python and R programming languages. The course is taught by Abhishek and Pukhraj, who are experienced data analysts and managers in a global analytics consulting firm.
When you enrol in this course, you are given a Verifiable Certificate of Completion once you finish the course. You will learn how to confidently build predictive Machine Learning and Deep Learning models using R, Python to solve business problems and create business strategies. You will also learn how to answer Machine Learning, Deep Learning, R, and Python related interview questions.
The best part is that you will get exposure to data science and data analysis tools like R and Python. Also, as an additional benefit to the course, you can participate and practice in online Data Analytics and Data Science competitions such as Kaggle competitions to apply your skills and assess your understanding and knowledge.
What You Will Learn
The course covers an extensive range of Machine Learning and Deep Learning in Python & R topics. By the end of the course, you will know the following:
- Python basic
- R basic
- Basics of Statistics
- Regression Model
- Classification Models
- Decision trees
- Ensemble technique
- Support Vector Machines
- ANN Theoretical Concepts
- Creating ANN model in Python and R
- CNN Theoretical Concepts
- Creating CNN model in Python and R
- End-to-End Image Recognition project in Python and R
- Time Series Forecasting
- And much more!
The course emphasizes how to identify the right data and to do some pre-processing before running data analysis. After running data analysis, you should be able to judge how good your model is and interpret the results to help your business. The course ensures that you gain a clear understanding of Machine Learning tools and reinforce your knowledge with practical examples to perform many data analysis tasks.
Learning Experience
The Machine Learning & Deep Learning in Python & R course is an online video course with over 120 lectures, making up an approximate duration of 47 hours of teaching. The course includes class notes attached for you to follow along and verify your learning as you progress. The course also provides quizzes and assignments to help verify your understanding of concepts.
The course's teaching approach is comprehensive, and it covers detailed theory, practical sessions, real-world examples, and hands-on exercises. The way the content is structured guarantees that you learn and understand every topic before moving on to the next one. Moreover, the instructors ensure that the information in each session is delivered in layman's terms so that anyone can understand.
The best part is that you will learn from experienced professionals who have assisted several businesses in solving their business problems using Machine Learning techniques. Abhishek and Pukhraj have shared their years of practical knowledge of Machine Learning and Deep Learning in this course.
User Reviews
Machine Learning & Deep Learning in Python & R has received fantastic reviews from a wide range of users. It has an aggregate rating of 4.5, which is an impressive rating from the almost 5300 user reviews on multiple platforms. Here are some of the user reviews:
- "I have taken several courses in Machine Learning, and this course is by far the best. Both instructors provide excellent explanations, actual application examples to concrete situations. I am already using what I've learned in this course in the real world! Highly recommended!" - Jany Rene
- "It was the best course that I have taken in Data Science so far. The course structure is excellent and passes by all aspects of the Machine and Deep Learning concepts. I would recommend this course for everyone" - Marcos Vinicius
- "This course covers the basics, theoretical and practical concepts of the machine learning programming languages, R and Python. It also covers statistical concepts used to evaluate the models. Both instructors are very experienced and are good at explaining the concepts using simple language. Great course!" - Dora Godfrey
Is Machine Learning & Deep Learning in Python & R Worth the Investment?
The answer is a resounding yes! The Machine Learning & Deep Learning in Python & R online course is comprehensive and provides a wealth of insight, practical exercises, and real-world examples that make it one of the best investments you can make to kick-start your career in data science. The course is affordable for professionals seeking to upskill and for beginners who are curious to learn data analytics. You will get your money back ten times over with new skills and knowledge that can lead to a higher income level and improved job satisfaction.
Bottom Line
If you are looking to upskill or start a career
