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Here is the list of top 10 data science projects to keep you occupied in the new year holidays.
For the past few years, artificial intelligence and data science have been flourishing and the focus on these technologies will take them to heights. Businesses are acknowledging the significance of data science; numerous opportunities are tapping at your door. Data science is the field that is gaining a lot of momentum these days. Most of the people are interested in it because of its growing demand. Get your hands on the top data science projects that are on demand. Here are the best data science projects such as visualization projects, data analysis projects, and exploratory projects to keep you occupied.
Wildfire Visualization Projects
When we look back at 2019 and 2020 it was also known as the black summer that consisted of extreme wildfires and nearly burnt an estimated 18.6 million hectares and over 5,900 buildings. This data makes this project more interesting to learn. You can do that by using Plotly or Matplotlib to show the magnitude and geographical impact of the wildfires.
Airbnb Data Exploration
Since 2008, most people have been using Airbnb to explore places. The dataset contains information on 2019 listings in New York and its geographical information, reviews, prices, and many more. You can ask about the areas that have much traffic or the number of days that a given listing is booked.
Employee Attrition and Performance
IBM has come up with a synthetic dataset that you can use to understand how various factors affect employee attrition and satisfaction. It can be regarding education, performance rating, work-life balance, and many more. You can look out for many other datasets and see if any significant variables indeed affect employee satisfaction. This is one of the top data science projects to spend time smartly.
Exploring Factors of Life Expectancy
WHO has created a dataset of the health status of all countries over time and includes statistics on life expectancy, and adult mortality. Using this dataset, you can explore the relationships between various variables.
Credit Card Fraud
This is a dataset that presents transactions that occurred in two days, with 492 frauds out of 284,807 transactions. The dataset is highly unbalanced, the positive class accounts for 0.172% of all transactions. You can learn about how to work with unbalanced datasets and build a credit card fraud detection model.
Prediction Modelling
This dataset is composed of power consumption data from PJM’s website. Using this dataset, you can build a time series model to predict energy consumption. You can also find trends around hours of the day, such as long-term trends and holiday energy usage. This is one of the top data science projects to spend time smartly.
Time Series Forecast on Energy Consumption
This dataset is composed of power consumption data from PJM’s website. PJM is a regional transmission organization in the United States. Using this dataset, see if you can build a time series model to predict energy consumption. In addition to that, see if you can find trends around hours of the day, holiday energy usage, and long-term trends.
Earth Temperature Visualization Projects
Here you can create some data visualization to show how the Earth’s surface temperatures have changed over time and you can do this by creating a line graph or also through another animated Choropleth map. This is one of the top data science projects to spend time smartly.
World University Ranking
You can explore and find out which country has the best universities in the world and how it can be the best to start with. The dataset can contain three global university rankings and you can try answering which countries are the top universities in and the main factors that determine one’s world rankings
Alcohol and School Success
You can do a dataset that can evaluate a student’s grades. This data was obtained in a survey from students in math and Portuguese language courses in secondary school. It contains several variables like alcohol consumption, family size, involvement in extracurriculars. You can explore the relationship between school performance and various factors. This is one of the top data science projects to spend time smartly.