bakari01 Goto Github PK

365datascience

This Repo Contains all the exercise files for Data Science Course of 365 Datascience . The repo is split into the relevant folders & there is one exercise folder which contains all the files of that course. Don't forget to star it :D

alx-low_level_programming

alx-pre_course

I'm now a ALX Student, this is my first repository as a full-stack engineer

alx-system_engineering-devops

alx-zero_day

bakari01

Config files for my GitHub profile.

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

credit-card-fraud-detection

Credit Card Fraud Fraud Detection using Classification Algorithms.

datasharing

The Leek group guide to data sharing

holberton-system_engineering-devops

house-price-prediction-using-dnn

This project focuses on predicting house prices in California using Deep Neural Networks (DNN). The goal is to develop a robust and accurate model that can predict housing prices based on various features, providing valuable insights for real estate stakeholders and potential buyers.

med_cost_prediction

This project aims at predicting insurance medical cost charges using regression techniques.

ml-youtube-courses-

Excited to share some of the best and most recent machine learning courses available on YouTube.

papers-literature-ml-dl-rl-ai

predicting-component-sizing-in-primary-total-knee-arthroplasty-using-demographic-variables

The purpose of this study is to determine whether height, weight and gender can accurately predict total knee arthroplasty(TKA) sizing.

python-for-data-science

All the files, notebooks that were used in the various labs in my learning in various platforms including Coursera, IBM, Cognitiveclass.ai

python-for-data-science-and-ai

Notebooks for Python for Data Science ranging from beginner introductory topics to more advanced Python concepts and Python Data Science libraries.

rider-response-challenge

The objective is to create the machine learning Model to predict whether a rider will accept, decline or ignore an order sent to them. Here Sendy company is interested to know a specific reaction of a given rider depending on the order requests.

ted-talks-segmentation

This project applies machine learning techniques to segment TED Talks based on their descriptions. It uses clustering methods and Latent Dirichlet Allocation (LDA) for topic modeling to interpret each cluster.

telecom-customer-churn-prediction

This project focuses on predicting customer churn in a telecom company, a critical business metric due to the high cost of acquiring new customers compared to retaining existing ones. Using a Kaggle dataset with features like tenure, monthly charges, and types of services used, we aim to build a model that can identify customers likely to cease.

time-series-analysis

Time Series Analysis of Typhoid Incidences in Nigeria using SARIMA model.

tutorial-arima-w-jeffrey-yau

udemy-the-complete-machine-learning-course-with-python

Please see the readme file for more info

well-being-indices-of-galaxies

This project seeks to analyze the well-being of galaxies given 80 variables that characterize the demographic and socio-economic situation of 181 galaxies over a period of at most 26 years. A composite index is given that measures their well-being.

zero-to-mastery-ml

All course materials for the Zero to Mastery Machine Learning and Data Science course.