Computational Linguistics

directed graphs

Simple Graphs

Complex network analysis

Social network analysis

data cleaning (Course Promo)

Handling Missing Values and Noise Values (Univariate Outliers)

feature types

Language basic analytics (Roman Burushaski)

Endangered Languages (Burushaski)

Text Preprocessing, NLP

RM L4: Writing Literature review, proposed work and experimental results

WP L12: Jquery Animate

Academic Writing: How to write a research article

outlier detection, missing values detection, univariate outliers detection

RM L1: Basic discussion

MLDS MID Q5 Answer: Calculating Precision and Recall from Confusion Matrix

NLP L4: Text Vectorization and Text Categorization

Link analysis: Degree centrality of nodes in a directed and undirected graph

Linear Classifier

Text Preprocessing / Normalization (Stemming, lemmatization, stopwords, punctuations)

Programming in C++: Operator Overloading

Programming in C++: L2 Evolution of High Level Programming Languages (Urdu/Hindi)

Page Rank Algorithm and Its evaluation with a Sample Network

Programming in C++: L1 Types of Programming languages in Urdu/Hindi

Link analysis: Betweenness centrality of nodes in a directed and undirected graph

Social Network Analysis: Greedy Graph Coloring

document clustering in python, hierarchical and partitional

Link Analysis: Betweenness centrality

SNA: Graph Analysis and Visualization with Gephi

NLP: Paradigmatic Word Associations (Urdu/Hindi)

WP L2: History of Internet and Worldwide web

Cross Validation, K-fold, leave one out, leave p out, hold out

Programming in C++: L7 Type Casting (Implicit and Explicit)

TF-IDF in Python using sklearn