Machine Learning project built to practice and improve coding and deployment skills using python, scikit-learn, jupyter-notebooks, and some visualization packages.
- Updated
Mar 25, 2022 - Jupyter Notebook
Machine Learning project built to practice and improve coding and deployment skills using python, scikit-learn, jupyter-notebooks, and some visualization packages.
Complete Exploratory Data Analysis (EDA) on the Pima Indians Diabetes dataset using Python, Pandas, Matplotlib, and Seaborn to clean, analyze, and correlate the data, resulting in identified patterns and insights.
This repository is a personal collection of machine-learning case studies, study materials, notebooks, datasets, and small projects.
A collection of notebooks for engineer practicing machine learning / deep learning through hacking project-based learning.
Structured, topic-wise study notes from a comprehensive Machine Learning Lectures— written in Jupyter Notebooks for clarity, revision, and reproducibility
Set of Jupyter notebooks and geospatial data developed by the MAPSPADES project to study desertification in the Algerian steppe using EO data.
This GitHub repository is dedicated to my journey through Machine Learning, featuring a variety of practice projects and exercises. Each folder contains resources and notebooks exploring different ML algorithms and techniques. Dive into my learning process and explore models ranging from basic to advanced.
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