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pycytominer

cytominer python package

pytorch_challenge

script-analyzer

Python modules to analyze movie scripts

script_buddy_v2

Script Buddy v2 is a film script text generation tool built using film scripts from the world's most popular film scripts.

sentiment-analysis-on-amazon-cell-phone-reviews-

This project is aimed towards using different linear classifiers such as Logistic Regression, Naive Bayes, SVM to perform sentiment analysis on cell phone reviews that were bought on Amazon

sentiment-analysis-udacity-project

This end-to-end project is aimed towards creating a deep learning model using RNN that will be used to determine the sentiment of a movie review (either positive or negative), thereafter the model will be deployed to a simple web app, where a user can write his / her review and the deployed model will be able to determine whether such review is a positive or negative one.

shopify-data-science-challenge

Winter 2022 Data Science Intern Challenge

sparkstreamingcourse

Udacity Data Streaming course

text_analytics_spacy_plotly

The aim of this text analytics project is to analyse a storybook or novel through extracting out the characters, their dialogue, words/verbs used them and also to check the locations and time occurences mentioned in the novel.

timeseries_analysis_forecast_uk_road_traffic_accident

This projects entails performing in-depth descriptive analysis and data visualization on United Kingdom Road Traffic and Accident dataset and also Forecasting/Predicting the rate of accidents in UK for the next 2 years.

udacity_data_engineering_nanodegree_project4

This project is focused on using Apache Airflow to automate and monitor the ETL Data pipeline process of JSON data that are extracted from Amazon S3 and transferred into Amazon Redshift (Data warehouse) where they are staged, processed and transformed into a Star Schema for further analyses.

udacity_dend_project1

Udacity data engineering nano degree project

udacity_dend_project3

This project focused on using Pyspark to extract data from Amazon S3 (Data Lake), process them into analytics tables and finally load them back into S3 as parquet files

uk-road-accident-traffic-analytics-with-rshiny

This is an Analytics project that give insights into UK Road accident & Traffic data using RShiny Dashboard

uk_accident_traffic_etl_pipeline

This is a capstone project that entails building an end-to-end ETL (Extract-Transform-Load) Data pipeline which extracts UK accident and traffic datasets from Amazon S3, clean and transform with Pyspark, transfer it back to S3 and finally load to Amazon Redshift (Distributed Database), from where the data can be queried for ad-hoc analyses.