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0:17:37
Custom LLM ChatBot using LLAMA 2, steps, tutorial and code.
0:16:05
ANOVA Test | Explanation | Calculation and working principle | Example
0:09:09
Chi Squared test| Calculation and Implementation.
0:12:34
Gradient Descent | Necessary conditions | Mechanism |Types
0:12:48
Window Functions in R Part 2 | Cumulative Aggregates | Rolling Aggregates | Recycled Aggregates
0:05:46
Model selection | AIC and BIC | Python Implementation.
0:13:27
Window Functions in R (Part 1)
0:08:05
Information criteria | AIC | BIC | Uses and Differences.
0:07:22
Apply Functions in R |apply() | lapply() | sapply() and tapply() .
0:07:34
Bias | Variance | Their Effects and Solutions.
0:00:58
How to merge two tables without any repetition in SQL/DBMS?
0:09:30
Activation functions and their advantages..
0:08:59
Multivariate Outlier Detection (Outlier detection Part 2).
0:09:06
Outliers, detection and remedies.
0:08:29
Lasso(L1 )regularization | Ridge (L2 ) regularization | their difference and uses.
0:10:00
Gini Index, Entropy and their difference when implemented in a Decision tree.
0:07:35
R squared | Adjusted R squared | their difference and how they can be used.
0:06:22
Context and Intent based Question and answer using BERT.
0:00:31
Mask Detection Model.