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Data Details and Pre-Processing 4
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Lecture1.1
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Lecture1.2
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Lecture1.3
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Quiz1.1
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Clustering: Unsupervised Analysis 6
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Lecture2.1
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Lecture2.2
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Lecture2.3
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Lecture2.4
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Lecture2.5
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Assignment2.1
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Classification: Supervised Analysis 5
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Lecture3.1
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Lecture3.2
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Assignment3.1
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Lecture3.3
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Quiz3.1
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Conclusion 3
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Lecture4.1
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Lecture4.2
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Assignment4.1
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7 Comments
This course culminates into the actual algorithms which when applied sequentially gives meaningful insight from the data. The carefully curated quiz acts as a benchmark to the learning process.
Great course with so much hands-on Machine learning applications.
Brilliant!!!! experience to be gained. It’s a very nicely arranged and curated curriculum, gives a great opportunity to learn the post-processing methods for analysis of the data from the statistical concepts to machine learning algorithms. It consist of informative videos to make the concepts crystal clear for the learner and quiz is also very apt. Feeling happy to learn a lot from this course.
It was a great course. Has some good insights into different approaches one can take for grouping samples using gene expression data. Definitely recommended for a beginner.
Really good courses with good expertise in Bioinformatics. Learned about many areas for data analysis and was able to understand the concepts with hands on experience.
Really good courses with good expertise in Bioinformatics. Learned about many areas for data analysis and was able to understand the concepts with hands on experience using T – Bioplatform.
Amazing course!!!! It provides you with the comprehensive understanding and implementation of machine learning algorithms on transcriptomics data to derive biological significance. There are lot of hand-on-assignments in the course, one could explore the data and pipeline from the various aspects. If someone is interested in understanding the application of machine learning techniques in biomedical data, one must take this course!!