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Predicting PewDiePie's daily subscribers using Machine Learning

A practical implementation of Machine Learning's Linear Regression Algorithm. Here we can apply linear regression to predict daily YouTube subscribers.

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Linear Matrix Inequalities in System and Control Theory
Stephen Boyd, Laurent El Ghaoui, E. Feron, and V. Balakrishnan

Volume 15 of Studies in Applied Mathematics
Society for Industrial and Applied Mathematics (SIAM), 1994

ISBN 0-89871-334-X

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Netflix Metaflow
Metaflow is built for data scientists, not just for machines
Successful data science projects are delivered by data scientists who can build, improve, and operate end-to-end workflows independently, focusing more on data science, less on engineering.

To get started quickly, follow the tutorial.
Source Code here
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#ML_Project: 0001 ——— Model to Detect Fraudulent Activities
🎯 FORWARD IF YOU LIKE IT 🎯

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.

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#ML_Project: 0002 ——— 🎯 FORWARD IF YOU LIKE IT 🎯

Build a Chatbot


Task: You can build a chatbot or understand the working of a chatbot by twisting and expanding the data with your observations. To build a Chatbot of your own, you need to have a good knowledge of Natural language processing concepts.

Dataset: Chatbot Intents Dataset
The Chatbot dataset is a JSON file that has disparate tags like goodbye, greetings, pharmacy_search, hospital_search, etc. Every tag has a list of patterns that a user can ask, and the chatbot will respond according to that pattern. The dataset is perfect for understanding how chatbot data works.

Reference: Click here
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Machine Learning Cheat Sheet
Classical equations, diagrams and tricks in machine learning

This cheat sheet is a condensed version of machine learning manual, which contains many classical equations and
diagrams on machine learning, and aims to help you quickly recall knowledge and ideas in machine learning.

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https://blog.paralleldots.com/data-science/24-best-and-free-books-to-understand-machine-learning/