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bilalsp

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case_study_covid19

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

data_analysis_tasks

ds_for_business

Data Science for Business Course

enspired

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

high_vol_stock

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

intro_ml_dm

Introduction to Machine Learning and Data Mining

link_prediction

Link Prediction for Flickr users

msp

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

quantitative-risk-analysis

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.

scheduling_optimization

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

scraper

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

skits

scikit-learn-inspired time series

social_network_analysis

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

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

wildfire_analysis

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

yelp-distributed-dl

Yelp review classification using CNN model with horovod on HPC cluster

yelp_etl

Yelp ETL Pipeline in Apache Spark on Google Cloud Dataproc