Machine Learning is one of the most sought after skills in industry.
After completion of this course, students will understand and apply the concepts of machine learning and applied statistics for real world problems.
The topics we will be covering in this course are: Python libraries for data manipulation and visualization such as numpy, matplotlib and pandas. Linear Algebra, Exploratory Data Analysis, Linear Regression, Various Classification techniques, Clustering, Dimensionality reduction and Artificial Neural Networks are also covered.
This course is designed for Students who are pursuing bachelor’s or master’s degree in Statistics, Mathematics, Computer Science, Economics or any engineering fields.
The students should have a little bit of knowledge in coding and undergraduate level mathematics.
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