Pinned Repositories
ai-case-study
athletic_sales_analysis
classification-challenge
CryptoClustering
K-means algorithm and principal component analysis (PCA) to classify cryptocurrencies according to their price fluctuations across various timeframes. Specifically, you will examine price changes over intervals spanning 24 hours, 7 days, 30 days, 60 days, 200 days, and 1 year.
customer_banking
Customer banking system that allows users to calculate and track interest earned on savings and CD accounts.
data-sourcing-challenge
neural-network-challenge-1
neural-network-challenge-2
pandas-challenge-1
This project involves analyzing a fictional e-commerce company's dataset using Python's Pandas library, focusing on tasks such as identifying top customers, analyzing product categories, calculating profits, and transforming data for comprehensive business insights.
phyton-challenge-1
albeli's Repositories
albeli/ai-case-study
albeli/athletic_sales_analysis
albeli/classification-challenge
albeli/CryptoClustering
K-means algorithm and principal component analysis (PCA) to classify cryptocurrencies according to their price fluctuations across various timeframes. Specifically, you will examine price changes over intervals spanning 24 hours, 7 days, 30 days, 60 days, 200 days, and 1 year.
albeli/customer_banking
Customer banking system that allows users to calculate and track interest earned on savings and CD accounts.
albeli/data-sourcing-challenge
albeli/neural-network-challenge-1
albeli/neural-network-challenge-2
albeli/pandas-challenge-1
This project involves analyzing a fictional e-commerce company's dataset using Python's Pandas library, focusing on tasks such as identifying top customers, analyzing product categories, calculating profits, and transforming data for comprehensive business insights.
albeli/phyton-challenge-1
albeli/prophet-challenge
This project involves a comprehensive analysis of Mercado Libre, the largest e-commerce site in Latin America. The goal is to examine search traffic patterns, understand seasonality, relate search traffic to stock price patterns, and develop a time series model with Prophet to predict future trends.
albeli/sms_spam_detector