Explore essential mathematics for data science and machine learning in this comprehensive video tutorial. Delve into probability, statistics, machine learning, deep learning, and model performance optimization through practical case studies on house price prediction and COVID-19 analysis. Learn about the crucial skills required for data scientists, important steps in the data science process, and gain insights into the mathematical foundations necessary for success in the field. Discover how to approach business problems quantitatively and understand the impact of mathematical concepts on machine learning algorithm selection and model effectiveness. Perfect for beginners and those looking to strengthen their mathematical background in data science.
Mathematics for Data Science - Essential Math for Machine Learning
Overview
Syllabus
Agenda.
What is Data Science?.
Skills required to become a Data Scientist.
Case Study: Predict House Prices.
Case Study: Lockdown Impact on COVID-19 Spread.
Case study: COVID-19 Positive Rate Analysis.
Case Study: COVID-19 Detction.
Important steps in Data Science.
Probability & Statistics.
Machine Learning.
Deep Learning.
Model Performance Optimization.
Summary.
Taught by
Great Learning
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Reviews
5.0 rating, based on 1 Class Central review
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This course helped me alot in learning what data science mathematics is and its benifits and how its used in our every day life. I thought it would be difficult however after understanding everything explained in the course i find it easy and would confidentiality talk about it
