GlobeFT
01
Data set for non-store, online retailers that includes all sales made between December 1, 2010, and December 9, 2011. They specialise in selling one-of-a-kind presents for any event. The firm has a large wholesale clientele.
02
Telecom churn refers to the phenomenon when a subscriber or customer stops using a telecom company's service. Churn rate is a critical metric for a telecom company since acquiring new customers is typically much more expensive than retaining the existing ones. Thus, predicting and understanding churn is crucial for the long-term profitability of a telecom firm. Objective is to predict whether a particular customer will churn or not.
03
Following the latest financing initiatives, the NGO has successfully generated around $10 million in financial resources. The CEO of the NGO must now make a smart and efficient decision on the allocation of these funds. The decision-making process is primarily concerned with identifying the nations that are most urgently in need of assistance.
04
Building a decision tree to predict the income of a given population, which is labelled as <= 50k and >= 50K. The attributes (predictors) are age, working class type, marital status, gender, race etc.
05
We will build a random forest model to predict whether a given customer defaults or not. Credit default is one of the most important problems in the banking and risk analytics industry. There are various attributes which can be used to predict default, such as demographic data (age, income, employment status, etc.), (credit) behavioural data (past loans, payment, number of times a credit payment has been delayed by the customer etc.).
06
Car Price Prediction with Ridge and Lasso Regression which penalizes the coefficients to balance between bias and variance and avoid making models not too complex and also not too simple.
07
Measuring essential soil metrics such as nitrogen, phosphorous, potassium levels, and pH value is an important aspect of assessing soil condition. However, it can be an expensive and time-consuming process, which can cause farmers to prioritize which metrics to measure based on their budget constraints.
Farmers have various options when it comes to deciding which crop to plant each season. Their primary objective is to maximize the yield of their crops, taking into account different factors.
08
In this project, I have tried to find some interesting insights into a few movies released between 1916 and 2016, using python. I have explored the data, gains insights into the movies, actors, directors, and collections.
09
To accommodate the large number of tourists looking for short-term (ranging from a few nights to many months) accommodations, New York City is home to a large number of Airbnb listings. Here, I've combined data from several file formats to examine the New York Airbnb market.
10
A fitness hub is interested in understanding the types of digital products that can be offered. Plan is to conduct a market analysis to understand how to place digital fitness products in the market. A market analysis can identify strengths of the competitors, create unique digital products and services for potential users.
11
This project understands how the student's performance (test scores) is affected by other variables such as Gender, Ethnicity, Parental level of education, Lunch and Test preparation course.
12
Examining the relationship between the stock returns (Y) and many other factors. Potential options for study may include the performance of SPY, a widely used ticker symbol representing the SPDR S&P 500 ETF, the performance of PepsiCo (NASDAQ: PEP), a notable contender within the market, and the performance of the US Dollar index (ICE: DX).
13
Frequently, traders and investors express a desire to categorize equities based on shared characteristics.
In the context of pair-trading strategy, a trader seeking to simultaneously establish long and short positions in two comparable stocks would ideally aim to conduct a comprehensive scan of all available stocks. The objective of this scan would be to identify stocks that exhibit similarities in terms of industry, sector, market capitalization, volatility, or other relevant characteristics.
14
Since its inception in 2008, several initiatives using blockchain technology have arisen. These digital currencies are often referred to as cryptocurrencies (also known as coins or cryptos in Internet jargon). Certain items have significant value in the present, while others possess the potential to gain substantial value in the future.