Pinned Repositories
NYC-Trees-Visualization
This Shiny application serves the following functionality. Accept the user’s address and display it on the map. Displays the trees found near the given address and display them on the map. Calculates how much energy can be saved only from these trees found around the given address and the air quality these trees are providing.
Artificial-Intelligence
Implementation of Chess Game Board with Adversarial Search using MINIMAX and Alpha Beta Pruning algorithm
Stock-Forecasting
This project is focused on answering “How close can we get in predicting the stock market?”, by utilizing a variety of exploratory techniques and different supervised machine learning algorithms such as: Linear Regression, Random Forest, Support Vector Machine and Gradient Boosting Trees.
ARIMA
In this project I have used a supervised ARIMA model to forecast TESLA's price, by performing multivariate analysis.
Boston-Housing-Price-Regression
This project trains a Random Forest Machine Learning model that predicts the value of a house given some of its attributes. A Flask Application was built and the model was deployed to serve on an end customer to enter the specified attributes and obtain a prediction. This application was also deployed on GCP.
Data-Science-Case-Studies
These are my mini projects and case studies, I developed to practice python for data science and machine learning skills.
E-Commerce
E-Commerce System
Online-Learning-System
This system will facilitate Module,Topic,Assessment creation for teachers.Students can run the assessment and view correct and incorrect answers after submission. Technologies : PHP,HTML,CSS,JS,SQL
PoppeX
Python_506
ElonaZharri's Repositories
ElonaZharri/Python_506
ElonaZharri/Python_Sorting_Algorithms
Python - Sorting Algorithms
ElonaZharri/Boston-Housing-Price-Regression
This project trains a Random Forest Machine Learning model that predicts the value of a house given some of its attributes. A Flask Application was built and the model was deployed to serve on an end customer to enter the specified attributes and obtain a prediction. This application was also deployed on GCP.
ElonaZharri/Artificial-Intelligence
Implementation of Chess Game Board with Adversarial Search using MINIMAX and Alpha Beta Pruning algorithm
ElonaZharri/Stock-Forecasting
This project is focused on answering “How close can we get in predicting the stock market?”, by utilizing a variety of exploratory techniques and different supervised machine learning algorithms such as: Linear Regression, Random Forest, Support Vector Machine and Gradient Boosting Trees.
ElonaZharri/ARIMA
In this project I have used a supervised ARIMA model to forecast TESLA's price, by performing multivariate analysis.
ElonaZharri/Data-Science-Case-Studies
These are my mini projects and case studies, I developed to practice python for data science and machine learning skills.
ElonaZharri/NYC-Trees-Visualization
This Shiny application serves the following functionality. Accept the user’s address and display it on the map. Displays the trees found near the given address and display them on the map. Calculates how much energy can be saved only from these trees found around the given address and the air quality these trees are providing.
ElonaZharri/SQL-Project
In this case study I used MySQL, PHPMyAdmin, Jupyter Notebook, and SQLite to tackle a series of challenges on a database containing information about a country club.
ElonaZharri/E-Commerce
E-Commerce System
ElonaZharri/Online-Learning-System
This system will facilitate Module,Topic,Assessment creation for teachers.Students can run the assessment and view correct and incorrect answers after submission. Technologies : PHP,HTML,CSS,JS,SQL
ElonaZharri/PoppeX