If you're exhilarated and want to build your skills, the Machine Learning Classification Bootcamp in Python is definitely worth considering. The course is designed to help students gain knowledge and practical experience in state-of-the-art machine learning classification techniques such as Logistic Regression, Decision Trees, Random Forest, Naïve Bayes, and Support Vector Machines (SVM).Are you ready to kick-off your career as a data scientist and become a master in Machine Learning techniques? If you're exhilarated and want to build your skills, the Machine Learning Classification Bootcamp in Python is definitely worth considering. The course is designed to help students gain knowledge and practical experience in state-of-the-art machine learning classification techniques such as Logistic Regression, Decision Trees, Random Forest, Naïve Bayes, and Support Vector Machines (SVM).
Build Your Skills and Advance your Career in Machine Learning
Machine Learning is one of the most sought-after skills to acquire in 2022, with an average salary of over $114,000 in the United States, according to PayScale. With around 600 percent growth in the past two years, the total number of ML jobs is expected to grow even more by 2025. The Machine Learning Classification Bootcamp in Python is designed to help students gain a comprehensive understanding of fundamental principles in Machine Learning and their practical application. By the end of this course, students will be able to apply machine learning modeling techniques and strategies to solve diverse real-world business problems.
Practical Projects
The Machine Learning Classification Bootcamp in Python covers theory and intuition in a clear, simple, and easy-to-understand way, with no intimidating mathematics. Moreover, the course provides 10 practical hands-on coding projects that students can add to their portfolio of projects. The projects are built from scratch using a real-world dataset and cover practical examples such as email spam classification, customer behavior prediction, sentiment analysis of customer reviews, predicting bank clients' retirement eligibility, among others. These projects are designed to provide students with the practical experience they need to use machine learning modeling techniques effectively.
Comprehensive Course Materials
The course contains over 75 HD video lectures with more than 11 hours of video content and lecture slides. Recorded and presented in fluent English, these materials are easy to understand and follow along with. In addition, all coding examples and Jupyter Notebooks are provided to the students, so you can work in both Python and Jupyter.
Expert Instructors
The course instructor, Minerva Singh, has more than 10 years of experience in machine learning and deep learning in both academic and industrial settings. She has also authored more than 30 scientific publications and holds a Ph.D. in computational biology from Cambridge University.
The Bottom Line
The Machine Learning Classification Bootcamp in Python offers an excellent opportunity for students to gain practical experience with state-of-the-art machine learning classification techniques and Python programming. By the end of this course, you will be able to apply your skills in real-world business problems in your organization or organization of your choosing. Don't miss this opportunity to jumpstart your career in data science!
