Mastering Machine Learning Algorithms using Python
English | Tutorial | Size: 7.2 GB
In this 28 hr course, you will explore the foundational and advanced machine learning concepts using Python. You will gain skills to handle data, implement algorithms like regression and classification, optimize models, and much more to become proficient in real-world machine learning tasks.
What I will be able to do after this course
Implement and tune machine learning algorithms like linear regression, decision trees, and SVMs.
Conduct exploratory data analysis and preprocessing using Python libraries like pandas and NumPy.
Utilize statistical techniques for hypothesis testing and feature engineering.
Develop and train supervised and unsupervised machine learning models.
Understand and apply principles of deep learning and neural networks.
Course Instructor(s)
Manas Dasgupta is a seasoned professional in machine learning and Python programming, with years of experience in data science industries and teaching. His goal is to help learners grasp complex topics through practice and real-world examples in an engaging and accessible way.
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