Showing posts with the label Data Science

American English Pronunciation for Beginners

Description Are you struggling with your English pronunciation? Do you have a strong accent when speaking English? Do native speakers always ask you to repeat yourself? Do you want to begin speaking with an American accent confidently? Do you what tips and help with speaking with an American accent? I welcome you to this - “ American English Pronunciation Training -  course where I will patiently guide you through the basic techniques you need to pronounce English sounds correctly. This course will guide you through the basics of correct American pronunciation and help you learn how to make the sounds of standard American English with confidence. STUDENTS WHO LOVED THIS COURSE Xiaolin Yu  says “The content is exquisite, the focus is prominent, the picture is meticulous, and the information is rich. The teacher was very kind, and I would soon look for the teacher's other courses, keep in touch with the teacher, and recommend it to my friend.” Fabiola Suarez  says “This c

Math for Data Science and Machine Learning: University Level

What you'll learn Introduction to matrix Gauss's elimination method Properties of matrix and determinants Echelon and reduce echelon form Vector spaces Linearly dependent and independent set of vectors in vector spaces Basis of a vector space linear transformation and related example and exercises Inner product spaces Eigen values and eigen vectors Introduction to ODE's and PDE's Probability and statistics What is a sample space? Mean, median and mode for grouped and ungrouped data Poison, gamma and uniform distributions And many more probability and statistics related tutorials Gram's Schmidt orthonormal process Pi chart, bar graph, line graph and histogram Permutations and Combinations Sets and Venn Diagram Show less Requirements Basics of high school mathematics Description In this course, we will learn  math for data science and machine learning . We will also discuss the importance of  Math for data science and machine learning  in practical words.