ramygendy Goto Github PK

airline-flight-price-prediction

Airline industry is one of the most sophisticated in its use of dynamic pricing strategies to maximize revenue, based on proprietary algorithms and hidden variables. Therefore, it is challenging for consumers to predict the price change just by observation. In this project, I built up models to predict the airline’s flight ticket prices.

analyze_ab_test_results

For this project, the results of an A/B test run by an e-commerce website. My goal in this notebook is to help the company understand if they should implement the new page, keep the old page, or perhaps run the experiment longer to make their decision.

apache-nifi-pipeline

carpriceprediction

The autos.csv dataset is a comprehensive collection of valuable data about used cars, and provides insight into how the cars are being sold, what price they are being sold for, and all the details about their condition.

creditcardfrauddetection

It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase.

data-science-on-aws

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

data-scientist-salary-eda

project goes all around data science field but before digging in data science capibabilites lets explore it with the right questions: what are the data scientist skills and what is the salary package for fresher and experiences one. does the data scientist salary depend on mainly experience and education only? or the skills are also a factor along with the age? alot of questions needs to be answered with this great oppertunity to go through one of the best review sites Glassdoor to see the salary of the employee, and the expectations of the company from a data science employee. The requirements put out by the company will help us understand the skills to develop before applying for a job.

developing-e2e-ml-workflow

employee-attrition-analysis-and-prediction

This project aims to provide insights into the factors influencing employee attrition and predict which employees are likely to leave the company.

finding-donors-for-charityml

In this project, you will employ several supervised algorithms of your choice to accurately model individuals' income using data collected from the 1994 U.S. Census.

generate-text-image-code-with-openai-apis

Unlock creativity with OpenAI API using Python and develop practical skills by creating captivating movie or book recommendation programs, crafting intelligent chatbots powered by GPT models, and exploring image generation and manipulation using Dall-E and PIL (Python Imaging Library).

ibm-hr-attrition-powerbi

Attrition of employees cause decease of overall performance, difficulty in managing ranks, increase costs (trainings, hiring process), loss of employee development plan and reputation. Goal of this project: understand trends and patterns behind employee loss and make data driven recommendation to prepare for future employee loss.

image-classification-with-cnn-using-aws-sagemaker

newly created cd0387 from nd009t-c3repo

mlops-operationalizing-aws-ml-project

A completed project contains code that trains and deploys an image classification model on AWS Sagemaker. The goal is to use tools and features of AWS to adjust, improve, configure, and prepare the model for production-grade deployment.

myworkspacepackages

list of custom scripts to run packages of functions used in analytics.

nd009t-c1-intro-to-ml-templates

object-count-tracking-using-aws-sagemaker

Distribution centers often use robots to move objects during operation. I built using AWS SageMaker with ML engineering practices to fetch data from a database, preprocess it, and then train a ML model that can count the number of objects in each bin to track inventory and make sure that delivery consignments have the correct number of items.

predict-bike-sharing-demand-with-aws-autogluon

prediction-resturants-success

The number of restaurants is increasing every day. Currently, there are approximately 12,000. It has become difficult for them to compete with already established restaurants. this project aims to analyze demography, helping people to choose the best restaurant, and using this predictive approach to predict the success of a new restaurant.

prosper_loan_data_exploration

In this project, I will explore a dataset of Prosper Loan data, first do some data wrangling and cleaning, and then move on to different types of exploration to find relationships between different variables moving forward to our conclusion

ramygendy

Config files for my GitHub profile.

text-summarization-with-pytorch-transformer-model

Text summarization in NLP plays a crucial role in Efficient Consumption, Preserving Vital Information, enhanced Communication and Timesaving. Which in summary, improves efficiency, comprehension, and communication by distilling large texts into concise, meaningful summaries.