Machine Learning: Model Evaluation and Improvement
by Pooja Umathe | Computer Programming
1. Evaluation and Improvement of Machine Learning Model
20:27
2. Evaluation Work Flow and Techniques
16:53
- 3. Evaluation Matrix
18:21
About the course
In this course students will learn what is model evaluation, splitting data in machine learning, training, testing and validation set, techniques of model evaluation and optimization, ways to perform model tuning, and the measures of model performance.
Machine learning is one of the liveliest areas of artificial intelligence. Machine learning algorithms allow computers to learn new things without being programmed. They use statistics to better understand the massive amounts of data that we create every day. These newer algorithms help machines classify images, sounds, and videos. They can answer our questions, discover new drugs, and even write songs.
Instructor
Hello there! I am Pooja Umathe and I am a data scientist. I build machine learning models and manage data science life cycle to predict future. Currently, I am working at Candlelit Therapy as a data scientist. I helped several organization optimize their business processes and improve productivity and delivery using machine learning and artificial intelligence. I hold a master's degree in Data Science from Saint Peter's University in 2020. I did under-graduation in electronics and computers engineering. Currently I live in New Jersey, USA and I have been tutoring for 4 years around the world. I find tutoring incredibly beautiful job to teach others because the powerful thing about learning is that no one can take it away from you.
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