Skishta/SEXTH-Session-In-Python-Spyder-IDE-

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Skishta/SEXTH-Session-In-Python-Spyder-IDE-

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SEXTH SESSION In How to use Python on Spyder IDE(OOP)

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 fire

datasciencecoursera

this is for course project on the last of Data Science Tool Box

testing-r-project2

Third-Session-In-Python-Spyder-IDE-

Third SESSION In How to use Python on Spyder IDE

Fifth-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 Experience

Eight-Session-In-Python-Spyder-IDE-

Eight SESSION (Pandas Liberary) & Project using Pandas & Numpy

First-Session-In-Python-Spyder-IDE-

FIRST SESSION In How to use Python on Spyder IDE

Second-Session-In-Python-Spyder-IDE-

Second SESSION In How to use Python on Spyder IDE

Project-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 Numpy

Project-3-Library-management

project that manages and stores books information electronically according to student’s needs

Project-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?