mosama1994 Goto Github PK

abstractive_summarizer

Abstractive Text Summarization using Transformer

adventure-works-cycles-dashboard-using-powerbi

Using PowerBI to create a dashboard for analysis of adventure works cycles data set to track KPIs (sales, revenue profit, return), compare regional performance, analyze product-level trends and forecasts, and identify high-value custiomers.

awesome-ai-data-github-repos

A collection of the most important Github repos for ML, AI & Data science practitioners

baize-chatbot

Let ChatGPT teach your own chatbot in hours with a single GPU!

big-data-analysis-of-airline-data-set

Big Data Analysis of Airline Dataset using Pyspark, MLlib, Clusters on Google Cloud

diabetes-detection-using-machine-learning

Diabetes detection in patients using different machine learning techniques and comparing the algorithms based on confusion matrix and other metrics.

fivethirtyeight-data-sets

Data and code behind the articles and graphics at FiveThirtyEight

flex-dashboard-anaylsis-of-college-majors-data-set

Flex Dashboard created using R, for visualization and analysis of College Majors Data Set

heart-attack-detection-using-machine-learning

Used CDC dataset for heart attack detection in patients. Balanced the dataset using SMOTE and Borderline SMOTE and used feature selection and machine learning to create different models and compared them based on metrics such as F-1 score, ROC AUC, MCC, and accuracy.

hospital-management-system-database-sql

Hospital Management System Database implementation in SQL

implementation-of-a-process-scheduler-in-java

Process scheduling using priority Queues & Array Lists in JAVA

llama-2-lora

llama2-prompt-reverse-engineered

Llama 2 Prompting Style

mosama1994.github.io

My Portfolio

setting-up-apache-kafka

Setup a Apache Kafka on Linux using JAVA (Gradle). Setting up producers to produce data into Kafka from wikimedia and then setting up consumers and pulling data into Open Search.

test

trl

Train transformer language models with reinforcement learning.

wandb-cicd

wine-quality-analysis-using-r

Wine dataset statistical analysis using Hypothesis testing (F-test, T-test, ANOVA, ANCOVA). Using machine learning to predict wine quality. Using regularization with 10 fold cross validation to overcome overfitting. Created different visualizations on the dataset.

yolo-v3-object-detection-cnn

Implementation of Yolo v3 object detection fully convolutional neural network model in Tensorflow & Keras