Pinned Repositories
100-Days-Of-ML-Code
100 Days of ML Coding
26-Weeks-Of-Data-Science
Email Newsletter
26-Weeks-Of-Data-Science-Assignments
26 Weeks of Data Science Assignments is a repository that contains weekly assignments for a 26 week data science course. These assignments cover various topics in data science, including machine learning, data visualization, and statistical analysis.
AI_Startup_Prototype
This is the code for "Watch Me Build an AI Startup" By Siraj Raval on Youtube
airline-booking-prediction
This repository contains the code and resources for a flight booking predictive model. The model is trained on customer booking data and is designed to predict the likelihood of a customer making a booking. The model is evaluated on its accuracy and f1 score. The findings are summarized in a presentation slide for management
bootcamp-final-assignment_using_CNN
A machine learning model to classify the gender of a person based on an image of their eye, using a CNN. Dataset includes eye images of males and females. Model is evaluated using accuracy score.
Churn_Model
This repository contains the data, code, and documentation for a project to analyze and predict churn in PowerCo's SME customer segment. The project includes data exploration, cleaning, and transformation, as well as the development and evaluation of a machine learning model to predict churn based on price sensitivity and other relevant factors.
Hospital-Patients-Survival
A machine learning model to predict patient survival rates at a hospital in Greenland, using a Random Forest classifier and patient data including diagnosed conditions, age, and previous medical history. Model is evaluated using the F1 Score.
Sentiment-Analysis
This repository contains a project to analyze customer feedback data for British Airways (BA) and uncover insights about the airline. It includes code, data, and documentation for data scraping and preparation, data analysis, and presentation of results and recommendations.
Supply_Chain_Dilemma
This repository contains the data, code, and documentation for a project to analyze and optimize the supply chain of Gala Groceries, a technology-led grocery store chain. The project includes data exploration, cleaning, and transformation, as well as the development and evaluation of a machine learning model to predict stock levels.
Kekyei's Repositories
Kekyei/Hospital-Patients-Survival
A machine learning model to predict patient survival rates at a hospital in Greenland, using a Random Forest classifier and patient data including diagnosed conditions, age, and previous medical history. Model is evaluated using the F1 Score.
Kekyei/Sentiment-Analysis
This repository contains a project to analyze customer feedback data for British Airways (BA) and uncover insights about the airline. It includes code, data, and documentation for data scraping and preparation, data analysis, and presentation of results and recommendations.
Kekyei/100-Days-Of-ML-Code
100 Days of ML Coding
Kekyei/26-Weeks-Of-Data-Science-Assignments
26 Weeks of Data Science Assignments is a repository that contains weekly assignments for a 26 week data science course. These assignments cover various topics in data science, including machine learning, data visualization, and statistical analysis.
Kekyei/airline-booking-prediction
This repository contains the code and resources for a flight booking predictive model. The model is trained on customer booking data and is designed to predict the likelihood of a customer making a booking. The model is evaluated on its accuracy and f1 score. The findings are summarized in a presentation slide for management
Kekyei/bootcamp-final-assignment_using_CNN
A machine learning model to classify the gender of a person based on an image of their eye, using a CNN. Dataset includes eye images of males and females. Model is evaluated using accuracy score.
Kekyei/Churn_Model
This repository contains the data, code, and documentation for a project to analyze and predict churn in PowerCo's SME customer segment. The project includes data exploration, cleaning, and transformation, as well as the development and evaluation of a machine learning model to predict churn based on price sensitivity and other relevant factors.
Kekyei/Supply_Chain_Dilemma
This repository contains the data, code, and documentation for a project to analyze and optimize the supply chain of Gala Groceries, a technology-led grocery store chain. The project includes data exploration, cleaning, and transformation, as well as the development and evaluation of a machine learning model to predict stock levels.
Kekyei/alx-low_level_programming
Kekyei/alx-low_level_programming-1
Alx Low Level Programming
Kekyei/alx-system_engineering-devops
Kekyei/alx-zero_day
I'm now a ALX Student, this is my first repository as a full-stack engineer
Kekyei/ansible_tutorial
This is my first time learning ansible
Kekyei/Data-Science-Interview-Questions-Answers
Kekyei/fastML
A Python package built on sklearn for running a series of classification Algorithms in a faster and easier way.
Kekyei/forage-lyft-starter-repo
Lyft starter repo
Kekyei/hpt
Kekyei/interview-prep-guide
Everything you need to prepare for your technical interview
Kekyei/Kekyei
Config files for my GitHub profile.
Kekyei/Made-With-ML
Learn how to responsibly develop, deploy and maintain production machine learning applications.
Kekyei/mlops-course
A project-based course on the foundations of MLOps to responsibly develop, deploy and maintain ML.
Kekyei/MVSEC-NIGHTL21
A labeled dataset from a subset of the MVSEC dataset for car detection at night driving conditions.
Kekyei/pyreservoir
Python utilities for reservoir engineering calculations
Kekyei/Recommender-Systems-Using-ML-DL-And-Market-Basket-Analysis-Using-Apriori
This repository consists of collaborative filtering Recommender systems like Similarity Recommenders, KNN Recommenders, using Apple's Turicreate, A matrix Factorization system from scratch and a Deep Learning Recommender System which learns using embeddings.
Kekyei/taxcalculatorgh
Most popular income tax calculator in Ghana 🇬🇭 . Built with VueJS and Spectre.css
Kekyei/Time-Series-And-Anomaly-Detection
In this repository, I have used ARIMA,SARIMA,AutoArima,ANN,CNN and LSTMs for time series modelling and Anomaly detection has been done using LSTM+Autoencoders.
Kekyei/Twitter-US-Airline-Sentiment-Analysis
In this repository I have utilised 6 different NLP Models to predict the sentiments of the user as per the twitter reviews on airline. The dataset is Twitter US Airline Sentiment. The best models each from ML and DL have been deployed. It employs text preprocessing,
Kekyei/uber-tlc-foil-response
Uber trip data from a freedom of information request to NYC's Taxi & Limousine Commission
Kekyei/yolov7-segmentation-with-DeepSORT-Tracking
YOLOv7 Segmentation using OpenCV and PyTorch with DeepSORT Tracking (ID + TRAILS)
Kekyei/zero_day
This is my third repository as a full-stack engineer