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.
