Course Description
Discuss the life cycle and different types of applications in data science. Moreover what is machine learning and it's typed.
How the machine learning life cycle works. Practical hands-on experience using a real-time dataset on most popular algorithm Logistic and multiple linear regression. A various method to check model evaluation.
What are Data Science and its various applications
What are Machine Learning and its types
Hands-on experience with real datasets using regression algorithms.
How to evaluate your model performance
Those who are interested in Data Science and Machine Learning.
Students with a basic understanding of maths
Students with basic knowledge of Data Science and Machine Learning
Any students in college who want to start a career in Data Science.
Any data analysts who want to level up in Machine Learning.
Any people who are not satisfied with their job and who want to become a Data Scientist.
Any people who want to create added value to their business by using powerful Machine Learning tools.
Beginner and Intermediate
No prior Python knowledge is necessary
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