eriakatumba Goto Github PK

air-passenger-forecasting

This is a time series forecasting project to predict airline customer numbers

alan-jones-article-code

Code from articles that I have written

analysing-us-domestic-airline-flights-performance

final peer graded assignment in DATA VISUALIZATION FOR PYTHON by IBM coursera course

assignment1

claimed

coursera-project-customer-segmentation-project

This is my submission to the Unsupervised Learning assignment on Coursera IBM ML

customer-churn-prediction

This project aims to predict which customers are likely to stop transacting with my client

data-analysis-with-python-by-ibm-on-coursera

Answer keys for course - Data Analysis with Python by IBM on Coursera

eriakatumba

Config files for my GitHub profile.

hello-world

Just another repository

house-price-predictor

With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this project challenges me to predict the final price of each home.

ibm-capstone-project-space-x

This repository contains all project notebooks for the assignments in the IBM capstone project course

ibm-data-analyst-professional

Capstone projects of the IBM Data Analyst Professional

ibm-data-analyst-professional-certificate

Quizzes & Assignment Solutions for IBM Data Analyst Professional Certificate on Coursera. Also included a few resources on side that I found helpful.

kpmg-customer-segmentation-project

In this project, I successfully segmented Sprocket Central clients into 4 groups that helped the business do affective marketing strategies for maximum profit and customer satisfaction

kpmg-virtual-intership-module-2

loan-approval-model-for-afriland-bank

This a classification project helps AfriLand loan managers quickly determine if a customer will be able to pay off the loan applied for in time

loan-approval-using-4-classifiers

loan-default-prediction

This competition asks you to determine whether a loan will default, as well as the loss incurred if it does default. Unlike traditional finance-based approaches to this problem, where one distinguishes between good or bad counterparties in a binary way, we seek to anticipate and incorporate both the default and the severity of the losses that result. In doing so, we are building a bridge between traditional banking, where we are looking at reducing the consumption of economic capital, to an asset-management perspective, where we optimize on the risk to the financial investor.

movie-recommender-engine-in-python

I this project completed at the IBM skills network, I build two models. first, a content-based recommendation system in python to help movie lovers see movie suggestions basing on their interests. second is a collaborative recommender system that suggests movies to users basing on user groups

normal-pdf-to-text

This script extracts text from normally generated pdfs (pdfs created by ms word)

predicting-soccer-results-using-machine-learning

In this repo, are two notebooks. One for data collection and the other for data cleansing and model development

predicting-the-weather-tomorrow-

In this kernel, I implement Logistic Regression with Python and Scikit-Learn. I build a Logistic Regression classifier to predict whether or not it will rain tomorrow in Australia. I train a binary classification model using Logistic Regression.

quantium-virtual-program

quantium_virtual_experience_program

This repository is a collection of all the solutions of tasks that were assigned to me during my Data Analytics Virtual Internship Experience Program at Quantium. 💻📚📊

rainfall-prediction-using-logistic-regression-classifier

reducing-manufacturing-errors.-bosch-product-line-perfomance-analytics

Bosch, one of the world's leading manufacturing companies, has an imperative to ensure that the recipes for the production of its advanced mechanical components are of the highest quality and safety standards. Part of doing so is closely monitoring its parts as they progress through the manufacturing processes.