Pinned Repositories
Analyze-Box-Office-Data
Produce data visualizations with Seaborn; Apply graphical techniques used in exploratory data analysis (EDA)
Analyzing-TV-Data
Datacamp: Use data manipulation and visualization to explore one of two different television broadcast datasets: The Super Bowl and hit sitcom The Office!
Android-Market
Apps on Google Play Store
awesome-causal-inference
A curated list of causal inference libraries, resources, and applications.
chexpert
CheXpert competition models -- attention augmented convolutions on DenseNet, ResNet; EfficientNet
Cleaning-Bank-Marketing-Campaign-Data
Datacamp: Tidy a bank marketing campaign dataset by splitting it into subsets, updating values, converting data types, and storing it as multiple csv files.
COVID-19
COVID-19-Data-Analysis
COVID19 Data Analysis Using Python.
data-science-project-template
Template for machine learning projects based in python.
dsr-setup-b26
Bahar-Rezaei's Repositories
Bahar-Rezaei/Analyze-Box-Office-Data
Produce data visualizations with Seaborn; Apply graphical techniques used in exploratory data analysis (EDA)
Bahar-Rezaei/Analyzing-TV-Data
Datacamp: Use data manipulation and visualization to explore one of two different television broadcast datasets: The Super Bowl and hit sitcom The Office!
Bahar-Rezaei/Android-Market
Apps on Google Play Store
Bahar-Rezaei/awesome-causal-inference
A curated list of causal inference libraries, resources, and applications.
Bahar-Rezaei/chexpert
CheXpert competition models -- attention augmented convolutions on DenseNet, ResNet; EfficientNet
Bahar-Rezaei/Cleaning-Bank-Marketing-Campaign-Data
Datacamp: Tidy a bank marketing campaign dataset by splitting it into subsets, updating values, converting data types, and storing it as multiple csv files.
Bahar-Rezaei/COVID-19
Bahar-Rezaei/COVID-19-Data-Analysis
COVID19 Data Analysis Using Python.
Bahar-Rezaei/data-science-project-template
Template for machine learning projects based in python.
Bahar-Rezaei/dsr-setup-b26
Bahar-Rezaei/dsr-setup-b26-1
Bahar-Rezaei/dsr-teaching-setup
Bahar-Rezaei/Film-Revenue
Seaborn and Python
Bahar-Rezaei/Identifying-Disaster-Tweets
I apply machine learning techniques on Twitter data to identify which tweets relate to genuine disasters. This could be useful, for example, for emergency services or news agencies.
Bahar-Rezaei/Emotion-Recognition-and-Classification-with-RNN
recurrent neural network for recognizing emotions and classifying them into n groups, using insights from NLP
Bahar-Rezaei/Exploring-NYC-Public-School-Test-Result-Scores
Datacamp: Use data manipulation and summary statistics to analyze test scores across New York City's public schools!
Bahar-Rezaei/Investigating-Netflix-Movies
Datacamp: Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie data.
Bahar-Rezaei/LANGCHAIN-RAG
Bahar-Rezaei/Song_Feature_Pred
Application to get audio features from Spotify for specific songs, and combine with our own audio dataset to predict the features from spectrograms of the songs
Bahar-Rezaei/Titanic
titanic project
Bahar-Rezaei/vector_databases_october2023_demo
How to use vector databases and vector embeddings
Bahar-Rezaei/Visualizing-the-History-of-Nobel-Prize-Winners
Datacamp: The Nobel Prize is awarded yearly to scientists and scholars in chemistry, literature, physics, medicine, economics, and peace, with the first prize awarded in 1901. Are there any biases in the way the honors are awarded? Use your data manipulation and visualization skills to explore the history of this coveted prize.
Bahar-Rezaei/Web-App
Web App with Streamlit and Python