This is a Jupyter Notebook to practice Apache Spark in Google Colab, especially for the exam CCA Spark and Hadoop Developer Exam (CCA175).

Python notebooks for my college subject IB241

This notebook includes data scraping. For this beautifulsoup and selinium is used. It takes a website URL as an input and extracts the information listed below as an output from that webpage. For this beautifulsoup and selinium is used 1. Specific HTML tags along with titles and meta description 2. Extract specific tags, heading tags from h1-h6 …

A Google Colab Notebook for running GClone, an RClone mod that allows multiple Google Service Account configuration. Created for easy use of GClone

Google Colaboratory Notebook files to design ETL pipeline of Amazon music reviews and connection to AWS PostgreSQL database and analysis of the ratio of five star reviews as it relates to participation in the Vine program.

Practice examples using Google Colab Notebooks: working with big data

Analysis on Amazon's Vine Review program. Created tables in AWS RDS database. In addition, we also created Google Colab notebooks, then extracted the datasets and placed them into each notebook. We then create a schema that fits the datasets and then loaded the datasets into our RDS. Finally, PySpark, the Python API for Apache Spark was used to …

C/C++, Javascript, Matlab, HTML, LaTex, Shell scripts in Jupyter Notebook Also run them on remote computer

Curso de Entorno de Trabajo para Ciencia de Datos con Jupyter Notebooks y Anaconda | Platzi 💚 | Profe: Jesus Velez Santiago @juelezmagic | Uso de #python 🐍 en Google Colab, DeepNote

Python Jupyter Notebooks : Manually Codes Algorithms (Mathematical formulas, linear algebra, probability, inferential statistics...)

A repo Containing Colab Notebooks to temporarily Host Web Apps in Colab

Learned knowledge and techniques in Natural Language Processing and also related tools: Python, Pytorch, Jupyter Notebook, Google Colab, RNN, CNN, Reinforcement Learning, LSTM, Language Modeling

One notebook trains a vegetable classification model with InceptionV3 using TensorFlow and Keras. The second notebook showcases the pre-trained model's inference on vegetable categories, loading InceptionV3 and enhancing image features. Together, they offer a compact solution for vegetable classification through deep learning.

Run Minecraft Server on Google Colab.

This repo contains the notebook python code to run Ollama on Google Colab with Ngrok and Gradio as ChatBot with Memory and Verbose generation