Aggiornamento struttura e appunti vari

.gitignore

@@ -2,4 +2,7 @@
 *.ipynb_checkpoints
 *__pycache__
 
-src/personal
+# MacOs file
+**/.DS_Store
+
+src/personal

Dockerfile

@@ -1,4 +1,4 @@
 FROM jupyter/minimal-notebook
 
-COPY ./REQUIREMENTS /tmp/REQUIREMENTS
-RUN pip install -r /tmp/REQUIREMENTS
+COPY ./requirements-docker.txt /tmp/requirements-docker.txt
+RUN pip install -r /tmp/requirements-docker.txt

README.md

@@ -2,9 +2,22 @@
 
 ML - Machine Learning presso l'Università degli Studi di Parma (6 CFU).
 
+# Development Environment with Conda
+```bash
+conda create --name machine-learning python=3.11
+```
+```bash
+conda activate machine-learning
+```
+```bash
+pip install -r requirements.txt
+```
+
+Then, you can change the Jupiter kernel setting the Conda environment as the new one.
+
 # Development Environment with Jupyter Notebook on Docker
 
-This project sets up a development environment using [Jupyter Notebook](https://jupyter.org) on Docker. The container is based on `jupyter/minimal-notebook` image, and, has some useful packages (check `REQUIREMENTS`), allowing you to develop quantum programs locally and execute them inside the container.
+This project sets up a development environment using [Jupyter Notebook](https://jupyter.org) on Docker. The container is based on `jupyter/minimal-notebook` image, and, has some useful packages (check `requirements-docker.txt`), allowing you to develop quantum programs locally and execute them inside the container.
 
 ## Prerequisites
 

requirements.txt

@@ -0,0 +1,27 @@
+# Machine learning frameworks
+pingouin==0.5.5
+kagglehub==0.3.12
+mlflow==2.22.0
+mlflow-skinny==2.22.0
+
+# Core data science
+numpy==2.1.2
+pandas==2.2.3
+matplotlib==3.9.2
+seaborn==0.13.2
+openpyxl==3.1.5
+scipy==1.13.1
+ucimlrepo==0.0.7
+sklearn-compat==0.1.3
+sklearn-pandas==2.2.0
+statsmodels==0.14.4
+
+# Deep learning
+torch==2.5.1
+torchaudio==2.5.1
+torchvision==0.20.1
+torchsummary==1.5.1
+
+# Utilities
+ipykernel==6.29.5
+colorama==0.4.6