Data Visualization And Data Analysis In Python Okcupid Dataset

Data Visualization And Data Analysis In Python Okcupid Dataset I'll analyze the data and it will be used to create three different types of data visualization: a histogram, a bar chart and a pie chart. The first task of any data science analysis is to get familiar with your data. here is a quick example to help you get started. the data we will use consisting of dating profile data for.

Data Visualization And Data Analysis In Python Okcupid Dataset In this project, i will work with data from okcupid, an online dating app. this dataset was provided to me by codecademy as part of their “data science career path”. In this dataset, there are 60k records containing structured information such as age, sex, orientation as well as text data from open ended descriptions. if you use this dataset in your research, please credit the authors. usernames and pictures are not included. the open text fields are somewhat unique, here is a description about them. In this project, we take almost 60,000 ok cupid dating profiles, and we look to: scraped from okcupid, uploaded here. three machine learning models were used: this project was intensive in data cleaning as a lot of the data was either missing, or non sensical. For this demonstration, the goal will be to predict whether a person’s profession is in the stem fields (science, technology, engineering, and math). there is a moderate class imbalance in these data; only 18.5% of profiles work in these areas.

Data Visualization And Data Analysis In Python Okcupid Dataset In this project, we take almost 60,000 ok cupid dating profiles, and we look to: scraped from okcupid, uploaded here. three machine learning models were used: this project was intensive in data cleaning as a lot of the data was either missing, or non sensical. For this demonstration, the goal will be to predict whether a person’s profession is in the stem fields (science, technology, engineering, and math). there is a moderate class imbalance in these data; only 18.5% of profiles work in these areas. Learn about this awesome data science hobby project! data cleaning, data exploration using python, pandas and real life data. The task set by codecademy was to apply machine learning techniques to predict a variable from the okcupid dataset. codecademy's example was about predicting the zodiac sign based on the user's responses to different questions. In this project, the goal is to analyze the data from kaggle using tools of data science. the primary research question that will be answered is whether an okcupid’s user astrological sign can be predicted using other variables from their profiles. Our goal for part 1 is to understand the variables in the okcupid dataset. just by listing all of the variables, we can already assume which are more interesting than others. however, let's looking into each just to understand the formats such as: selected word responses, numerical responses, and written responses.

Data Visualization And Data Analysis In Python Okcupid Dataset Learn about this awesome data science hobby project! data cleaning, data exploration using python, pandas and real life data. The task set by codecademy was to apply machine learning techniques to predict a variable from the okcupid dataset. codecademy's example was about predicting the zodiac sign based on the user's responses to different questions. In this project, the goal is to analyze the data from kaggle using tools of data science. the primary research question that will be answered is whether an okcupid’s user astrological sign can be predicted using other variables from their profiles. Our goal for part 1 is to understand the variables in the okcupid dataset. just by listing all of the variables, we can already assume which are more interesting than others. however, let's looking into each just to understand the formats such as: selected word responses, numerical responses, and written responses.

Data Visualization And Data Analysis In Python Okcupid Dataset In this project, the goal is to analyze the data from kaggle using tools of data science. the primary research question that will be answered is whether an okcupid’s user astrological sign can be predicted using other variables from their profiles. Our goal for part 1 is to understand the variables in the okcupid dataset. just by listing all of the variables, we can already assume which are more interesting than others. however, let's looking into each just to understand the formats such as: selected word responses, numerical responses, and written responses.

Data Visualization And Data Analysis In Python Okcupid Dataset
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