Pinned Repositories
A-VISUAL-HISTORY-OF-NOBEL-PRIZE-WINNERS
A project that is part of the data science track in data camp, it explores a dataset from Kaggle containing Nobel prizes and winners.
Analyzing-Hittin-Tweets-Riyadh-Season
Cloud Computing and Big Data (SWE485) course project that aims to analyze the sentiments about Riyadh Season-2019, specifically about Hittin neighborhood by retrieving the public's tweets from Twitter API using Python. Logistic Regression and Naive Bayes models are applied, following the data analytics lifecycle. The results are visualized using Plotly and Seaborn libraries.
Analyzing-Police-Activity
Applying the foundation of pandas by exploring the Stanford Open Policing Project dataset and analyzing the impact of gender on police behavior. It includes cleaning messy data, creating visualizations, combining and reshaping datasets, and manipulating time series data. This project is a part of data camp's data science track. https://openpolicing.stanford.edu
Android-App-Market-Google-Play
A project to apply dataframe manipulation, as part of the data science track in data camp. The project analyzes apps data & reviews on Google Play market to give a descriptive analysis, using plotly and seaborn for data visualization.
Discovery-of-Handwashing
Performing a bootstrap analysis on medical data that were collected to find the major cause of childbed fever in the 19s. A prerequisite to pass the Data Science track in Data Camp.
Learnings-to-make-Recommedations
Simple Recommender Practice
pandas-intro
Basic notebook introducing pandas functionality
predicting-credit-card-approvals
Building a machine learning model (Logistic Regression) to predict if a credit card application will get approved or not. Missing values are handled using Mean Imputation method. The project is part of data science track in data camp.
RESTfulApiUsingPythonFlask
Creating a RESTful API using Python & MySQL
School-Budgeting
A case study from a machine learning competition on DrivenData.
lamaalqasem's Repositories
lamaalqasem/School-Budgeting
A case study from a machine learning competition on DrivenData.
lamaalqasem/A-VISUAL-HISTORY-OF-NOBEL-PRIZE-WINNERS
A project that is part of the data science track in data camp, it explores a dataset from Kaggle containing Nobel prizes and winners.
lamaalqasem/Analyzing-Hittin-Tweets-Riyadh-Season
Cloud Computing and Big Data (SWE485) course project that aims to analyze the sentiments about Riyadh Season-2019, specifically about Hittin neighborhood by retrieving the public's tweets from Twitter API using Python. Logistic Regression and Naive Bayes models are applied, following the data analytics lifecycle. The results are visualized using Plotly and Seaborn libraries.
lamaalqasem/Analyzing-Police-Activity
Applying the foundation of pandas by exploring the Stanford Open Policing Project dataset and analyzing the impact of gender on police behavior. It includes cleaning messy data, creating visualizations, combining and reshaping datasets, and manipulating time series data. This project is a part of data camp's data science track. https://openpolicing.stanford.edu
lamaalqasem/Android-App-Market-Google-Play
A project to apply dataframe manipulation, as part of the data science track in data camp. The project analyzes apps data & reviews on Google Play market to give a descriptive analysis, using plotly and seaborn for data visualization.
lamaalqasem/Discovery-of-Handwashing
Performing a bootstrap analysis on medical data that were collected to find the major cause of childbed fever in the 19s. A prerequisite to pass the Data Science track in Data Camp.
lamaalqasem/Learnings-to-make-Recommedations
Simple Recommender Practice
lamaalqasem/pandas-intro
Basic notebook introducing pandas functionality
lamaalqasem/predicting-credit-card-approvals
Building a machine learning model (Logistic Regression) to predict if a credit card application will get approved or not. Missing values are handled using Mean Imputation method. The project is part of data science track in data camp.
lamaalqasem/RESTfulApiUsingPythonFlask
Creating a RESTful API using Python & MySQL
lamaalqasem/Superbowl
Analyzing Super Bowl data - a simple project that falls under the data analysis track in data camp.
lamaalqasem/The-GitHub-History-of-the-Scala-Language
As part of data science track in data camp. Read, clean, and visualize the real world project repository of Scala that spans data from Git and GitHub, to find out who has had the most influence on its development and who are the experts.