0layiw0la

Config files for my GitHub profile.

amazon-data-science-books-eda

I perform eda in pyhton to suggest the best books for learning python(in relation to data science) and ML on amazon. The data contains book names prices, ratings, weight,publisher etc.

british-airways-virtual-internship

British airways the forage task where i web scrapped customer reviews on the internet and performed sentiment analysis on them, developed a predictive model to determine if a customer would complete a booking or not and provided information on what features are more likely to affect a customers decision.

datafest-data-anlaysis-project

datafestdatathon2023

dsa-pract

hcaps-patient-survey

An analysis of survey responses was conducted across various states and hospitals. The primary goal of this analysis is to provide actionable insights that can help hospitals improve patient care.

house-price-prediction

Using machine learning techniques to predict house prices. Also looking into what makes a house more expensive.

ml-practice

I document my ml algorithm learning for future reference

netflix-movies-and-tv-shows

This report focuses on netflix viewer preferences across the globe, the patterns of when movies and TV shows are added to the platform, and aims to examine Netflix's content acquisition decisions. The data dates from 2008 till 2021.

netlify-feature-tour

porffolio-v1

This is my personal portfolio showcasing some of my projects

pytorch_learning

q-a-app

A streamlit app that generates answers to questions based off questions provided to it.

ribbon-analysis

This data set for this analysis was provided by SocialBlaze. The data contains key data on ribbon's operations from july 6th to august 5th a range of 32 days, This data will be used to access the applications possible success and how to leverage on the possible success or avoid failure.

shark-tank-investment-analysis

This project is an analysis of past contestants on the television show, Shark Tank. Its primary objective is to extract insights on trends within the show.

smoking-prediction

The goal of this project is to use binary classification to predict a patient's smoking status given information about various other health indicators.

spotify-most-streamed

This project uses EDA techniques to analyse the most famous songs of 2023 as listed on Spotify. What they are and what it would take to join thier ranks.

text_summarizer

A streamlit app that uses BART and NLTK for text summarization and sentiment analysis.

titanic_prediction