There are no reviews yet. Be the first to send feedback to the community and the maintainers!
Project-4-Employee-Experiance-using-regression
a project that uses real data set from sheet excel of employees and their salary in a company, and then predicting using a linear regression to estimate exact salary of each employee.Project-8-Titanic-Ship
build a predictive model that answers the question: “what sorts of people were more likely to survive using passenger data (i.e. name, age, gender, socio-economic class, etc.)Project-10-Amazon-Fire
The Amazon project is an attempt to analyze Amazon forest fires and to know when to increase fires and areas where fires increase And the relationship between temperature and firedatasciencecoursera
this is for course project on the last of Data Science Tool Boxtesting-r-project2
testing myselfThird-Session-In-Python-Spyder-IDE-
Third SESSION In How to use Python on Spyder IDEFifth-Session-In-Python-Spyder-IDE-
FIFTH SESSION In How to use Python on Spyder IDE { For & While LOOPS }Project-1-Employee-Experiance
Project about Ordering Employees according to their ExperienceSEXTH-Session-In-Python-Spyder-IDE-
SEXTH SESSION In How to use Python on Spyder IDE(OOP)Eight-Session-In-Python-Spyder-IDE-
Eight SESSION (Pandas Liberary) & Project using Pandas & NumpyFirst-Session-In-Python-Spyder-IDE-
FIRST SESSION In How to use Python on Spyder IDESecond-Session-In-Python-Spyder-IDE-
Second SESSION In How to use Python on Spyder IDEProject-7-Social-Network-Ads
dataset about the effective of the ads on social media. By detecting gender, age, salary and then run regression on response variable purchased. This response variable has two value 0 (no purchased) and 1 (purchased successfully). Predict the response value for the testing set. Report your confusion matrix for the prediction.Fourth-Session-In-Python-Spyder-IDE-
FOURTH SESSION In How to use Python on Spyder IDE { List & Nested if }Seventh-Session-In-Python-Spyder-IDE-
SEVENTH SESSION (Numpy Liberary) & Project using NumpyProject-2-Spam-Mail
Spam is one of the major annoying threats to email users. In 2013, 69.6% of all email flows were spam. Links in spam emails may lead to users to websites with malware or phishing schemes, which can access and disrupt the receiver’s computer system. These sites can also gather sensitive information. Additionally, spam costs businesses around $2000 per employee per year due to decrease productivity. Therefore, an effective spam filtering technology is a significant contribution to the sustainability of the cyberspace and to our society.Project-6-50-startups-Rnd
a project that uses real data set from sheet excel of 50 startups their spend in R&D, administration, marketing spend, state of the headquarters, and then predicting using a Multiple Linear Regression to estimate profit vs Rnd spend.Project-5-Employee-Psitions-using-regression
a project that uses real data set of employees and their salary in a company,and then predicting using a linear regression to estimate each employee position according to Their Salary.Project-9-Real-State-Project-AirBnb
The project mainly focus on three parts: 1-Scraping data from Airbnb website. 2-Dataset Cleanup and pre-processing. 3- Data Visualization and Trend Analysis, The aim of the project is to optimize the price of new house listing, analyzing how other people priced in surrounding areas, relative to dimensions such as locations, amenities, reviews, number of beds, etc.? How to set up price in a more competitive way?Love Open Source and this site? Check out how you can help us