Justin Seby's Projects
House-prices prediction using advance regression techniques.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
This system depicts how sentimental analysis can be appealed to airlines recommendation systems to make ideal suggestions. In this case i used airline reviews to extract their emotions.Then performan intelligent processing technique to extract the true meanings of the peopleβs comments andto decide and classify them in terms of positive, negative or neutral thus to know the majorityof people like or dislike the desired sector of the airline
The project explores a range of NLP tasks, including text analysis, sentiment analysis, entity recognition, and more, to uncover patterns and insights in the data.
APT & CyberCriminal Campaign Collection
A curated list of references for MLOps
This project focus on classifying resumes into different categories( I Industries). The classification is based on various aspects like the industry that the candidate was applying to, the candidate's technical skills, etc.
The experiments have been conducted on the collected data related to COVID 19 tweets from all over the world. This study was conducted to understand how people from different infected countries cope with the situation.
List of Computer Science courses with video lectures.
The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset. Several constraints were placed on the selection of these instances from a larger database. In particular, all patients here are females at least 21 years old of Pima Indian heritage.
This project is a step-by-step exploration of building a chatbot from scratch, integrating advanced functionalities and addressing ethical considerations.
My Curriculum Vitae / Resume
The Leek group guide to data sharing
An exercise for Solita Dev Academy 2023
"Iris" dataset, Originally published at UCI Machine Learning Repository is m,ainly used for testing out machine learning algorithms and visualizations (for example, 2D, 3D Scatter Plot)
EDA and Statistics for medical costs. Initial checks involes with the following process.1.Find the shape of the data,data type of individual columns 2.Check the presence of missing values 3.Descriptive stats of numerical columns 4.Find the distribution of numerical columns and the asssociated skeweness and presence of outliers 5.Distribution of categorical columns
This project aims to design a system for Automatic Fake News Identification. The basis for fake news detection in stream of like news threads, where a news has a title and its associated body text consists in assessing the consistency between the title and message content.
Online flight booking software that helps the users to book and view flights with ease.
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
Analysis & Predict Heart Attack based on Age, Gender, No. of disease they have and some other aspects. The data set is available from Kaggle.
This ML project is based on Semmelweis data. Semmelweis only published his data as long tables of raw data, but he didn't show any graphs nor confidence intervals. The medical community largely rejected his discovery and in 1849 he was forced to leave the Vienna General Hospital for good. One reason for this was that statistics and statistical arguments were uncommon in medical science in the 1800s. If he would have had access to the analysis we've just put together he might have been more successful in getting the Viennese doctors to wash their hands. This project is focus on the effect of handwashing With the data loaded we can now look at the proportion of deaths over time.
Simple image classification projects on a small fruit (apple) data set
Convert jpg into a pencil sketch. After reading the image, converting the original image to grayscale. Then, Converting the image into a pencil sketch using OpenCv.