vitalhakiz Goto Github PK

airline-passenger-satisfaction

alpaca-lora

Instruct-tune LLaMA on consumer hardware

alpaca-lora-serve

Alpaca-LoRA as Chatbot service

analysing-effects-of-diamond-characteristics-on-their-prices

coffee-tree-productivity-prediction

A country recently finished data collection project that aims to measure the various household and farmer characteristics of coffee farmers that attended any coffee training agronomy program. Therefore, in this project, I am looking for better understanding and predicting coffee tree productivity and its relationship with good agronomic practices that are taught in the coffee training program

covid-19-mobility-and-epedemiological-models

By considering the combined COVID-19 and Mobility dataset for Rwanda, and Using interactive visualization tools, apply visual analytics to identify the places (retail and recreation, transit, parks, workplaces, groceries, and pharmacies, and residential) that experienced the biggest changes in mobility patterns based on government action, then also to plot the disease burden and mobility trends over the period in the dataset and finally to determine the pattern of relationships that exist between mobility patterns and COVID-19 data

credit-cards-approval

This project aimed to build machine learning and neural network models based on different informations from customers to predict credit card approval for a given customer's information

data-engineering-projects

This repository contains Data Engineering Projects that I have worked on.

deep-learning-projects

dynamic-dashboard-for-house-price-prediction

This is a dynamic dashboard that turn ML model(House Price Prediction) from a complicated abstraction to a concrete tool that anyone can access. One of the most important parts of data science projects is creating products that people can use to make their work or lives easier. This dashboard is able and easier to help anyone who wishes to see the predictions of house prices in a given location using the given attributes

lulc

mpi-estimation-using-geospatial-data

optimizing-waiting-time

OPTIMIZATION OF AVERAGE WAITING TIME IN BUS TERMINALS USING QUEUING THEORY: KIMIRONKO BUS TERMINAL AS A CASE STUDY

prosper-loan-data-exploration

regression-models-for-house-prices-predictions

Generally, buying a house depends on some important features like number of rooms, square feet, locations etc. In this view, buyers should expect to have some knowledge of predictions before buying the house to avoid high cost. Therefore, this project intend to build regressions models that generates predictions on the cost of the house depending on different features. This a project which is available on Kaggle competion. My objective was to build regression models and submit the predictions on kaggle competition to see the scores for each model

titanic_analysis

This project aimed to prepare titanic dataset for analysis, calculating the survival probabilities in titanic and building prediction models for survival

twitter-data-analysis

weratedogs

The WeRateDogs is a Twitter account that rates people's dogs with a humorous comment about the dog. These ratings almost always have a denominator of 10 and the numerators almost always greater than 10. The goal of this project: Wrangle WeRateDogs Twitter data to create interesting and trustworthy analyses and visualizations by gathering data, then assessing and cleaning it to get better analyses.