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Random Forest
01:16:12
Logistic Regression
01:05:20
Statistical Inference for Biological Growth Curve Models
02:35:46
Statistics v/s Machine Learning
01:49:18
Foundations of Machine Learning Part2
01:24:25
Foundations of Machine Learning Part1
01:24:46
Modeling Calcium Dynamics In Neuron Cells
01:13:04
SARS-CoV-2 infection dynamics and genomic surveillance
00:53:36
Modeling and Analysis of infectious diseases
00:57:37
Analytical detection of stationary patterns
01:17:34
Host-microbe interactions understanding using computational biology methods
00:52:58
Genome Assembly Construction and Annotation
01:29:36
Statistical Inference on Biological Growth Curve Models
01:16:54
Big data and spatio-temporal problems
00:57:17
Design-based dynamic approaches in mathematical biology
01:22:35
Estimation of System Parameters using MATHEMATICA
01:02:05
Introduction to next-generation sequencing data analysis: RNA-Seq Part-2
01:22:16
Introduction to next-generation sequencing data analysis: RNA-Seq Part-1
01:30:30
Basics of Python programming and advanced data structures Part-4
01:26:50
Basics of Python programming and advanced data structures Part-3
01:07:22
Basics of Python programming and advanced data structures Part-2
00:53:57
Basics of Python programming and advanced data structures Part-1
01:41:41
Reproducible Research with R-I
01:37:01
Reproducible Research with R-II (GitHub)
00:34:11
Count Data Modeling with R
01:09:24
Multivariate Techniques II: Cluster Analysis and Multidimensional Scaling
01:49:29
Bootstrap Resampling Method
01:37:06
Multivariate Techniques I: Principal Component Analysis and Factor Analysis
01:13:11
Time Series Analysis II
01:13:36
Time series analysis I
00:25:23