Found 31 repositories(showing 30)
ROSdTechguy
This contains the codes to resolve the challenges faced each week
hybraid6
Machine Learning projects and and learning resources form Alx Data Science programme
hvkyhenry
Weekly documentation of my machine learning journey through the ALX programme
Tibebu1216
A comprehensive collection of projects, notebooks, and datasets from the ALX Data Science Program, covering Python programming, data analytics, and machine learning. The goal is to build a strong foundation in data-driven problem solving and showcase practical applications of analytics and machine learning.
Don-Alvin
No description available
Bekafi01
No description available
kipchirchirtony92
No description available
haru-094
This repository contains my learning projects, exercises, and notes from the ALX Data Science Program. The program focuses on building strong foundations in Python, statistics, machine learning, data analysis, and real‑world problem‑solving.
maryamkarimi
No description available
mahlako01
No description available
josiii47
No description available
silasjimmy
ALX Machine Learning code challenges and exercises
Machine Learning Projects — ALX Data Science I use this repo to store my machine learning exercises and projects from the ALX Data Science program. I track my work with notebooks, practice tasks, and small experiments that help me understand model building and data analysis.
E-Macharia
Complete ML curriculum & portfolio: 93+ notebooks covering regression, classification, ensemble methods, NLP, deep learning & clustering. Real datasets, code challenges, deployment-ready models.
ChitFede
Some ALX projects for machine learning
No description available
Containerize a Machine Learning Microservice API using Docker and Orchestrating using Kubernetes
UgohDiegoKC
ALX Udacity Cloud DevOps Project 4 - Operationalize a Machine Learning Microservice API
nrobert04
ALx challenge in unsupervised learning aimed at improving skills related to recommendation function and Machine Learning
ALX-Udacity Cloud DevOps Engineer Nanodegree | Project: Operationalize a Machine Learning Microservice API
Rugwiroparfait
This repo contains all notebook ,used to learn ML in ALX Machine learning program
zandilemdintsigithub
Projects and challenges from the ALX Data Science program covering Python, SQL, Power BI, Excel, and Machine Learning.
This repository contains my exercise from the course Loan Default Prediction using Machine Learning on ALX BIDA COURSE
Phawazz
Repo contains a collection of applied Data Science and Machine Learning projects completed as part of the ALX Data Science specialization, documenting my journey toward technical mastery.
yassine-chamoukhi
Projects completed during the ALX Data Science Bootcamp, covering data analysis, machine learning, statistics, and Python programming. This repository showcases hands-on work with real datasets and tools like Pandas, Scikit-learn, and SQL.
Molakeng96
"AI enthusiast & ALX student, passionate about harnessing AI to drive innovation & progress. Building skills in machine learning, data science & programming. Excited to collaborate & apply knowledge to real-world problems, shaping the future of AI."
enocksegawa
This repository includes notebooks developed during my machine learning studies in the Data Science Course at ALX Africa. Each notebook contains core lessons and explanatory notes designed to be accessible for novice data science students.
enocksegawa
This repository includes notebooks developed during my machine learning studies in the Data Science Course at ALX Africa. Each notebook contains core lessons and explanatory notes designed to be accessible for novice data science students.
enocksegawa
This repository includes notebooks developed during my machine learning studies in the Data Science Course at ALX Africa. Each notebook contains core lessons and explanatory notes designed to be accessible for novice data science students.
Exploring Credit Card Approvals: Join me in unraveling the secrets of machine learning with my latest Jupyter notebook project! As part of my journey with ALX, I welcome your feedback and criticism—it's all part of the learning adventure! Let's dive in together and make every line of code count!