beginner-project

Notebooks from Nvidia's DLI Deep Learning course

This notebook is for beginners, who just started learning OpenCV and want to explore some basic projects.

Notebooks for AE4465 - Maintenance Modeling & Analysis

Simple CLI-based personal notebook application built with Python (CRUD + JSON storage)

I have made this Project using MERN Stack it is todo list website and has basic CRUD operation

A beginner data analysis project using python/pandas and jupyter notebook using a sales data set.

NumPy Learning Series with Jupyter Notebooks and Exercises.

Python hands-on practice project using Jupyter Notebook

A basic classification on IRIS Dataset using RandomForest , classic machine learning project.

First data cleaning and analysis of the Online Retail II dataset. Explores duplicate handling, cancellations, sales aggregation per invoice, customer, and item.

Google Colab (Notebook) to train a CNN to play "rocket, paper or scissor"

Codecademy Python Syntax project using Jupyter Notebook to practice data manipulation and functions

A beginner-friendly Jupyter Notebook summarizing common Data Science tools, languages, and libraries.

This repo have all the notebooks that I have worked on during ML for smart health course.

All the Data Analysis exploration projects will be present here either as jupyter 📓 or 🐍 code.

A basic Python project for animal classification using rule-based logic and functions. Implemented with Jupyter Notebook for educational and experimental purposes.

A beginner-friendly Machine Learning project demonstrating Iris flower classification using Scikit-learn, Jupyter Notebook, and the Iris dataset with model training and accuracy evaluation.

Beginner-friendly sales data analysis in Python (pandas + matplotlib) with Jupyter Notebook and simple visualizations. / Základní analýza prodejních dat v Pythonu (pandas + matplotlib) s ukázkou vizualizací a notebookem.

Performed beginner-level EDA on a restaurant dataset using Python. Analyzed top cuisines, city-wise ratings, price ranges, and online delivery impact using Pandas and Matplotlib. Includes 4 well-structured notebooks with visual insights.

This model is my first attempt at machine learning. In the notebook I built upon what is taught in the Kaggle micro-course listed above and tweaked parameters, functions and exploratory analysis in order to achieve better performance.