Create a Personalized Movie Recommendation Engine using Content-based Filtering in Python

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Content-based recommender systems are a popular type of machine learning algorithm that recommends relevant articles based on what a user has previously consumed or liked. This approach aims to identify items with certain keywords, understand what the customer likes, and then identify other items that are similar to items the … Read more

Build a High-Performing Movie Recommender System using Collaborative Filtering in Python

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The digital age presents us with an unmanageable number of decisions and even more options. Which series to watch today? What song to listen to next? Nowadays, the internet and its vast content offer too many choices. But there is hope – recommender systems are here to solve this problem … Read more

Automate Crypto Trading with a Python-Powered Twitter Bot and Gate.io Signals

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This tutorial develops a Twitter bot in Python that will generate automated trading signals. The bot will pull real-time price data on various cryptocurrencies (Bitcoin, Ethereum, Doge, etc.) from the crypto exchange Gate.io and analyze it using predefined rules. Whenever the bot detects a relevant price change, it automatically posts … Read more

Posting Tweets On Twitter using Python and Tweepy

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In a previous article, we have shown how to retrieve social media data via the Twitter API in Python. However, we can do many more cool things with the Twitter API. Another cool thing is interacting with the Twitter user account and posting automated tweets. This article shows how this … Read more

Forecasting Beer Sales with ARIMA in Python

Forecasting Beer Sales with ARIMA

Time series analysis and forecasting is a tough nut to crack, but the ARIMA model has been cracking it for decades. ARIMA, short for “Auto-Regressive Integrated Moving Average,” is a powerful statistical modeling technique for time series analysis. It’s particularly effective when the time series you’re analyzing follows a clear … Read more