bilalsp

msp

Proposed a sophisticated approach for Machine Scheduling Problem (MSP) using deep reinforcement learning.

Quantitative-Risk-Analysis

ds_for_business

Data Science for Business Course

high_vol_stock

High Volatility Stock Prediction using Long Short-term Memory (LSTM)

scheduling_optimization

Proposed multi-objective combinatorial optimizations for fabric dying scheduling application based on Genetic Algorithm and Metaheuristic. "This is on going research project."

social_network_analysis

Social network analysis on Facebook friend data to understand the pattern of Facebook friend network.

Wildfire_Analysis

Proposed a model to classify the wildfires based on environmental and geographical data.

yelp_etl

Yelp ETL Pipeline in Apache Spark on Google Cloud Dataproc

bilalsp

Profile README

case_study_covid19

Statistical Analysis on COVID-19 data to examine the statistical significance across the different regions.

scraper

Web scraper with AWS lambda to fetch the job posting data from monster.com

bilalsp.github.io

Personal web page

data_analysis_tasks

enspired

CLI tool for computing chairs statistics based on 2D floor plan of apartment.

intro_ml_dm

Introduction to Machine Learning and Data Mining

link_prediction

Link Prediction for Flickr users

S2S_Similarity_Model

Proposed and implemented the NLP model to compute the semantic similarity between two english sentences/questions using the Support Vector Machine(SVM).

scalable-K-meansPP

Implementation of `Scalable Kmeans++` using PySpark framework based on research paper `Scalable K Means++` by Bahmani et al. in 2012.

skits

scikit-learn-inspired time series

the-elements-of-statistical-learning-notebooks

Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman

yelp-distributed-DL

Yelp review classification using CNN model with horovod on HPC cluster