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

alx-low_level_programming

alx-low_level_programming-1

Alx Low Level Programming

alx-system_engineering-devops

alx-zero_day

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

ansible_tutorial

This is my first time learning ansible

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.

cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

data-science-interview-questions-answers

fastml

A Python package built on sklearn for running a series of classification Algorithms in a faster and easier way.

forage-lyft-starter-repo

Lyft starter repo

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.

hpt

innovative-book-resources

This repository contains books from different topics and perfect enough to give developers a boost in understanding the concepts of Data Science and Artificial Intelligence(other topics are also included but main highlights are these two).

interview-prep-guide

Everything you need to prepare for your technical interview

kekyei

Config files for my GitHub profile.

made-with-ml

Learn how to responsibly develop, deploy and maintain production machine learning applications.

mlops-course

A project-based course on the foundations of MLOps to responsibly develop, deploy and maintain ML.

model-deployment

This playlist covers model deployment covered as part of course in YouTube - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5PlN1jwOB3jVZE6nYTVswk

mvsec-nightl21

A labeled dataset from a subset of the MVSEC dataset for car detection at night driving conditions.

nlp_essentials

Essential and Fundametal aspects of Natural Language Processing with hands-on examples and case-studies

pyreservoir

Python utilities for reservoir engineering calculations

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.

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.