Pinned Repositories
Amazon_Vine_Analysis
Using PySpark to perform the ETL process to extract the dataset, transform the data, connect to an AWS RDS instance, and load the transformed data into pgAdmin. Then using PySpark, Pandas, & SQL to determine if there is any bias toward favorable reviews from Vine members in the dataset.
bikesharing
The goal of this study is to come up with a plan that will convince investors to fund a bike-sharing scheme in Des Moines, Iowa using Tableau.
Credit_Risk_Analysis
Build and evaluate several machine learning algorithms to predict credit risk
Global-Crop-Yield-Analysis
Analysis on effect of temperature, rainfall and pesticide on Global food crops yield along with Crop Yield prediction using scikit-learn ML algorithms. Interactive website for outcomes using HTML, Bootstrap, JS, CSS, d3 and so on.
Pewlett-Hackard-Analysis
The goal of this study was to construct two tables: one to determine the number of retiring employees by their job titles, and the other to identify employees who would benefit to participate in a mentorship program using SQL
Plotly_Deployment
Using JavaScript and Plotly.js to create an interactive dashboard for a biotechnology company. The result is a well-designed dashboard including several different charts showing the results.
PyBer_Analysis
The goal of this challenge and analysis is to create a multiple-line graph that shows the total weekly fares using Python's Matplotlib Library and Jupyter Notebook
School_District_Analysis
The purpose of this project was to analyze School District Data for couple of different metrics using Python, Pandas and Jupyter Notebook
stock-analysis
The purpose of this project is to refactor the existing Microsoft VBA code in a way that we can collect any stocks information in either of 2018 or 2017 years to understand if the stocks are worth investing
World_Weather_Analysis
The goal of this project is to create a vacation map that allows users to search for suitable travel destinations and present the user with selected suitable hotels within their preferred trip destinations using Google APIs.
NedaAJ's Repositories
NedaAJ/bikesharing
The goal of this study is to come up with a plan that will convince investors to fund a bike-sharing scheme in Des Moines, Iowa using Tableau.
NedaAJ/Global-Crop-Yield-Analysis
Analysis on effect of temperature, rainfall and pesticide on Global food crops yield along with Crop Yield prediction using scikit-learn ML algorithms. Interactive website for outcomes using HTML, Bootstrap, JS, CSS, d3 and so on.
NedaAJ/Pewlett-Hackard-Analysis
The goal of this study was to construct two tables: one to determine the number of retiring employees by their job titles, and the other to identify employees who would benefit to participate in a mentorship program using SQL
NedaAJ/Plotly_Deployment
Using JavaScript and Plotly.js to create an interactive dashboard for a biotechnology company. The result is a well-designed dashboard including several different charts showing the results.
NedaAJ/School_District_Analysis
The purpose of this project was to analyze School District Data for couple of different metrics using Python, Pandas and Jupyter Notebook
NedaAJ/stock-analysis
The purpose of this project is to refactor the existing Microsoft VBA code in a way that we can collect any stocks information in either of 2018 or 2017 years to understand if the stocks are worth investing
NedaAJ/World_Weather_Analysis
The goal of this project is to create a vacation map that allows users to search for suitable travel destinations and present the user with selected suitable hotels within their preferred trip destinations using Google APIs.
NedaAJ/Amazon_Vine_Analysis
Using PySpark to perform the ETL process to extract the dataset, transform the data, connect to an AWS RDS instance, and load the transformed data into pgAdmin. Then using PySpark, Pandas, & SQL to determine if there is any bias toward favorable reviews from Vine members in the dataset.
NedaAJ/Credit_Risk_Analysis
Build and evaluate several machine learning algorithms to predict credit risk
NedaAJ/PyBer_Analysis
The goal of this challenge and analysis is to create a multiple-line graph that shows the total weekly fares using Python's Matplotlib Library and Jupyter Notebook
NedaAJ/Cryptocurrencies
Use unsupervised machine learning, PCA algorithm, and K-Means clustering to analyze and classify a database of cryptocurrencies.
NedaAJ/Election-Analysis
The purpose of this challenge was to complete an election analysis of a local congressional election Using Python
NedaAJ/first_streamlit_app
My first ever Streamlit App I am going to build using Snowflake DABW
NedaAJ/kickstarter-analysis
Performing Analysis on our Kickstarter data to uncover trends
NedaAJ/MechaCar_Statistical_Analysis
The project's purpose is to evaluate vehicle performance across different manufacturer lots and examine parameters that might impact the construction of a new automobile prototype.
NedaAJ/Mission-to-Mars
HTML Web scraping on mars data to create a flask web application using Python, BeautifulSoup, Splinter, Bootstrap, and MongoDB
NedaAJ/Neural_Network_Charity_Analysis
Use TensorFlow and deep learning neural networks to analyze and classify the success of charitable donations.
NedaAJ/Surfs_up
SQLite & SQLAlchemy, Flask and Jupyter Notebook
NedaAJ/UFOs
Analysis of UFO sightings by allowing users to filter for multiple criteria at the same time using JS and HTML