mahmoud-E-ALI

Capstone-IBM-Coursera

Summary of methodologies Data Collection using API and Web Scraping Exploratory Data Analysis using SQL Exploratory Data Analysis using Data Visualization Interactive Visual Analytics with Folium Interactive Visual Analytics with Dashboard Machine Learning Prediction Summary of all results Exploratory Data Analysis Interactive analytics in Dashboard Predictive Analytics using different algorithms

Classification-project-IBM-COURSERA

In this project some classification algorithms are applied to this data set to check the Loan status (Whether a loan is paid off on in collection). We load a dataset using Pandas library, and apply the following algorithms, and find the best one for this specific dataset by accuracy evaluation methods Training the set to build an accurate model. Then using the test set to report the accuracy of the model. The following algorithm are used: K Nearest Neighbor(KNN) Decision Tree Support Vector Machine Logistic Regression

Explore-US-Bikeshare-Data-UDACITY

In this project, I made use of Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington. I wrote code to import the data and answer interesting questions about it by computing descriptive statistics. I also wrote a script that takes in raw input to create an interactive experience in the terminal to present these statistics.

flask1

Forked-REPO

gitFolder

Investigate-a-Dataset-of-The-Movie-Database-TMDB

In this project, we will analyze the data set associated with The Movie Database (TMDB). This data set contains information about 10,000 movies collected from The Movie Database (TMDB), including user ratings and revenue. In particular, we will be interrested in finding the trends affect the revenue of the movies and how differet factor affect the maximization of this revenue with respect to the budget. Also, different visualization will be introduced to emphasize the findings and relations affects the revenue of the movies.

Mahmoud-E-ALI.github.io

https://mahmoud-e-ali.github.io/

resources

Here is a list of best resources to get you started with learning how to code (mostly related to Web Development). Feel free to add your favorite resources as well and help others in their journey of learning.

SQL-COURSERA-IBM

In this project, different questions are asked and answered using SQL statements. Jupyter notebook is used with sqlalchemy api

mahmoud-E-ALI/Capstone-IBM-Coursera

Summary of methodologies Data Collection using API and Web Scraping Exploratory Data Analysis using SQL Exploratory Data Analysis using Data Visualization Interactive Visual Analytics with Folium Interactive Visual Analytics with Dashboard Machine Learning Prediction Summary of all results Exploratory Data Analysis Interactive analytics in Dashboard Predictive Analytics using different algorithms

mahmoud-E-ALI/Classification-project-IBM-COURSERA

In this project some classification algorithms are applied to this data set to check the Loan status (Whether a loan is paid off on in collection). We load a dataset using Pandas library, and apply the following algorithms, and find the best one for this specific dataset by accuracy evaluation methods Training the set to build an accurate model. Then using the test set to report the accuracy of the model. The following algorithm are used: K Nearest Neighbor(KNN) Decision Tree Support Vector Machine Logistic Regression

mahmoud-E-ALI/Explore-US-Bikeshare-Data-UDACITY

In this project, I made use of Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington. I wrote code to import the data and answer interesting questions about it by computing descriptive statistics. I also wrote a script that takes in raw input to create an interactive experience in the terminal to present these statistics.

mahmoud-E-ALI/flask1

mahmoud-E-ALI/Forked-REPO

mahmoud-E-ALI/gitFolder

mahmoud-E-ALI/Investigate-a-Dataset-of-The-Movie-Database-TMDB

In this project, we will analyze the data set associated with The Movie Database (TMDB). This data set contains information about 10,000 movies collected from The Movie Database (TMDB), including user ratings and revenue. In particular, we will be interrested in finding the trends affect the revenue of the movies and how differet factor affect the maximization of this revenue with respect to the budget. Also, different visualization will be introduced to emphasize the findings and relations affects the revenue of the movies.

mahmoud-E-ALI/Mahmoud-E-ALI.github.io

https://mahmoud-e-ali.github.io/

mahmoud-E-ALI/resources

Here is a list of best resources to get you started with learning how to code (mostly related to Web Development). Feel free to add your favorite resources as well and help others in their journey of learning.

mahmoud-E-ALI/SQL-COURSERA-IBM

In this project, different questions are asked and answered using SQL statements. Jupyter notebook is used with sqlalchemy api