Nhi Yen's repositories
machine-learning-cheatsheets
A comprehensive collection of Machine Learning cheatsheets for quick reference and learning.
e-commerce-chatbot-using-openai
Creating a chatbot for your e-commerce business is now easier than ever with OpenAI, bypassing complex deep learning algorithms
predict-gold-prices
Gold price forecasting using time series is a statistical technique that involves analyzing historical data to predict future trends in the price of gold. This approach relies on mathematical models to identify patterns and trends in the data and use them to make predictions about future prices.
free-ml-ai-courses
A curated list of free Machine Learning and AI courses offered by leading organizations, including Google, Microsoft, and more. Start your journey in AI with these high-quality, accessible resources.
customer-churn-prediction-with-model-stacking
The goal of this project is to predict customer churn (whether a customer will leave the telecom service) using a model stacking approach. Model stacking involves training multiple models and combining their predictions using another model.
customer-segmentation-with-k-means-clustering
Clustering is a popular unsupervised machine learning technique used to group similar data points based on specific criteria. It has many applications in various fields such as customer segmentation, image recognition, and anomaly detection. K-means clustering is a widely used clustering algorithm that partitions the data into k clusters, where eac
data-cleaning-heart-disease-uci-
This repository provides a comprehensive guide on data cleaning using Python. Data cleaning is an essential process in any data science project as it helps to ensure that the data is accurate, consistent, and complete.
e-commerce-sales-analysis
In today's digital world, e-commerce has become an integral part of the retail industry. Companies can benefit from a wealth of data generated by online transactions to gain insights into customer behavior, optimize marketing strategies, and increase sales. In this blog, we will explore the power of e-commerce sales analysis through a case study us
exploring-cryptocurrency-prices-using-decision-tree
Cryptocurrencies have gained immense popularity in recent years, with Bitcoin being one of the most well-known digital currencies. Understanding the historical trends and patterns of cryptocurrency prices is crucial for investors and traders.
analyzing-women-s-e-commerce-reviews-to-celebrate-
In honor of International Women's Day, we will be analyzing a public dataset on women's clothing e-commerce reviews.
Video-Game-Sales-with-Ratings
A/B testing is a powerful tool that can help online gaming agencies identify the most effective strategies to increase conversions and user engagement. In this article, we'll discuss the necessary A/B testings for an online gaming agency, including specific case studies and Python code examples.
email-campaign-performance-analysis-with-sql
This repository provides a guide on how to use SQL to analyze email campaign performance and extract insights that can help optimize future campaigns.
pandas-the-powerhouse-of-data-manipulation-with-3-important-methods
Once upon a time, there was a data analyst named Sarah who worked at a startup. Her boss gave her a new dataset to work with, and she needed to import, clean, and analyze it using Python's Pandas package. She wasn't sure where to start, so she did some research and found the most essential methods in Pandas for each task.