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a-sentiment-analysis-using-by-natural-language-process-nlp-

ab_testing

amazon_product_sorting

analyzing-and-visualizing-earthquake-data

The scars of the devastating earthquake are still in our lives, perhaps the wounds that will never go away have opened. Well, if we were to look at the events through a data-oriented lens, what would he/she see?

ccemozclk.github.io

datacamp-analyzing-crime-in-los-angles

datacamp-customer-analytics-preparing-data-for-modeling

datacamp-exploring-airbnb-market-trends

datacamp-exploring-nyc-public-school-test-results

datacamp-visualization-nobel-prize-winners

django-first-project

django-learning

employee-churn-model

house-price-prediction

introduction_to_football_analytic

kodluyoruzhtml

kodluyoruzilkrepo

Kodluyoruz Eğitimi kapsamında açtığım ilk repo

logistic-regression-

The RMS Titanic crash is one of the most infamous and deadliest shipwrecks in history. On the 5th night of its maiden voyage in April 1912, the Titanic, the largest steamship ever built, crashed into an iceberg and sank into the cool waters of the North Atlantic Sea, due to the crack opened in the ship's hull. Along with him, 2224 passengers and 1502 crew members were involved in the biggest shipwreck in history. This tragic accident had an international impact and led to better safety regulations for ships. One of the biggest reasons why the incident caused so many casualties was that there were not enough lifeboats in the ship inventory for passengers and crew before anchoring in Southampton port. The limited number of lifeboats on board also caused some class discrimination to be a determining factor in the survival of the passengers after the accident. That is, some groups of people, such as women, children, and the upper class, were more likely to survive than others. The Titanic dataset contains information about the passengers on board the RMS Titanic and those involved in the wreckage of the Titanic after the accident.

nlp---sentiment-analysis-for-restaurant-customers

predictive-data-analysis-sales-forecasting-using-by-arima

predictive-maintenance-analysis

rule_based_classification

solving-real-world-business-problem

Set of real world data science tasks completed using the Python Pandas and Matplotl

solving-real-world-data-science-problem

surgery-volume-prediction

titanic-survival-prediction-

Almost all of us know the story of the RMS Titanic, which took off in April 1912 to make its maiden voyage from England to New York and sank into the cool waters of the North Atlantic sea on the 5th day of its voyage. It was the largest steam passenger ship in the world at the time. Well, I wonder if we had been a passenger who had bought a ticket to travel with this huge ship from the port of Southampton that day, would we have survived?