8000 NedaAJ (Neda Ahmadi) · GitHub
[go: up one dir, main page]
Skip to content
< 8000 div data-view-component="true" class="Layout-main">
View NedaAJ's full-sized avatar
4 followers · 2 following

Achievements

Achievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

Achievements

Achievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

Block or report NedaAJ

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. Global-Crop-Yield-Analysis Global-Crop-Yield-Analysis Public

    Forked from SohrabRezaei/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, …

    Jupyter Notebook 1

  2. Pewlett-Hackard-Analysis Pewlett-Hackard-Analysis Public

    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 …

    1

  3. bikesharing bikesharing Public

    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.

    Jupyter Notebook 1

  4. Plotly_Deployment Plotly_Deployment Public

    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.

    JavaScript 1 4

  5. PyBer_Analysis PyBer_Analysis Public

    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

    Jupyter Notebook

  6. Amazon_Vine_Analysis Amazon_Vine_Analysis Public

    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…

    Jupyter Notebook

0