Post#ML_Project: 0001 ——— 🎯 FORWARD IF YOU LIKE IT 🎯

16 February 2020

Python Projects

* #ML_Project: 0001 ——— 🎯 FORWARD IF YOU LIKE IT 🎯 Model to Detect Fraudulent Activities Task: Using k-means clustering, you can build a model to detect fraudulent activities. K-means clustering is an unsupervised Machine learning algorithm. It separates the observations into k number of clusters based on the similar patterns in the data. Dataset: Enron email dataset Enron Email Dataset is famous in natural language processing. It has more than 500K emails of over 150 users. The size of the data is around 432Mb. Out of 150 users, most are the senior management of Enron. ««« Discuss your solution @python_programmers_club and proper solutions will be added to our Github page »»» ««« Click here for the Solution »»» 🔥Ready to take this challenge? 🔥 #python #machineLearning #projects #datasets #kMeans

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