renauddahou Goto Github PK

oscpenumeration

packagetest

parser-backend

Backend flask server for the resume parser hosted on my website

password-manager-app

Password Manager App with Flask and Python CRUD

pentest

:no_entry: offsec batteries included

pentest-cheat-sheets

A collection of snippets of codes and commands to make your life easier!

pentesting

Scripts and files related to penetration testing

phishing-paypal-2020

phishing paypal ,French, English

pisa_data_analysis

# PISA 2012 Data ## by Nadine Amin ## Dataset > PISA is a survey of students' skills and knowledge as they approach the end of compulsory education. It focuses on examining how well prepared the students are for life beyond school. > Around 510,000 students in 65 economies took part in the PISA 2012 assessment of reading, mathematics and science representing about 28 million 15-year-olds globally. Of those economies, 44 took part in an assessment of creative problem solving and 18 in an assessment of financial literacy. ## Summary of Findings > Before starting this study, I thought the features that would affect the total scores the most were the teachers' influences, the students' immigration status, the class size, and the parents' highest schooling. However, almost none of my assumptions were correct once I started to see the relationships of the variables with the total scores and with other variables. > The number of cellphones, TVs, computers & books, the parents' schooling & jobs, and the homework study time were the variables that affected the total scores. > The higher the number of cellphones, TVs, computers and books, the higher the chances of getting a better total score. This could be because the family's social status was better, and therefore provided better support for the students. > As long as the parents' schooling was level 3A or higher, there is a good chance that the students would get higher grades. Furthermore, parents who had full-time jobs resulted in their children getting higher scores. This could be because having role models to look up to will make you work harder and believe in yourself more. > Finally, students who studied for longer hours had a higher chance of scoring better. ## Key Insights for Presentation > In the presentation, I will show the plots that had an effect on the total score the most. Those include the bivariate plots of the variables mentioned above against the total score. I will also include the multivariate plot of the father and mother's jobs vs. the number of cellphones vs. the total score.

plutus

A Bitcoin wallet collider that brute forces random wallet addresses

pogoswap

portfolio

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

prediction-house-price-using-image-processing

prediction_compensantion

Development of ML models to predict the year compensation of a Data Scientist

projet

push_to_github

Copied all my projects from VS Code to here

pycaretapp

pyspark-and-mllib

Getting start with PySpark and MLlib

pyspark-from-kafka-to-elasticsearch

Save the data produced to Kafka in ES through PySpark streaming

pyspark_in_10_days

pyspark🍒🥭 is delicious，just eat it!😋😋

python

python-devops

A Devops pipeline python

python-elasticsearch

python-html-table-scraper

A simple HTML table scraper made with Python and the amazing Streamlit!

python-machine-learning

Tutorials on Machine Learning and Deep Learning with Python

python-mini-projects

A collection of simple python mini projects to enhance your python skills

python-oop

Python Object Oriented Programming Mastery

python-power

python_workshop