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Fundamentals of Data Mining

Data Science 101

This data alone does not make any sense unless it’s identified to be related in some pattern. Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). Machine learning provides the technical basis for data mining.

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Top 10 Data Science Projects on GitHub

Pickl AI

Kaggle Bike Sharing Bike-sharing systems is one of the best Data Science project on Github that allows you to book and rent motorbikes/bicycles and return them. It requires you to combine historical usage patterns with weather data for predicting the demand of rental services.

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Breaking Down the Central Limit Theorem: What You Need to Know

Towards AI

Random variable: Statistics and data mining are concerned with data. How do we link sample spaces and events to data? Speaking mathematically [Image credits: All of statistics by Larry Wasserman book ] Where are we currently using CLT? and those chosen people will be sampled from all student's sample space.

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Standard LLMs are not enough. How to make them work for your business

Snorkel AI

Your curated data will fit the general shape of what you’re looking for, but it will still have complications and rough edges: Irrelevant information Project-specific Slack channels (as well as many other data sources) will likely contain irrelevant side conversations. Create a dataset through data mining.

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Standard LLMs are not enough. How to make them work for your business

Snorkel AI

Your curated data will fit the general shape of what you’re looking for, but it will still have complications and rough edges: Irrelevant information Project-specific Slack channels (as well as many other data sources) will likely contain irrelevant side conversations. Create a dataset through data mining.

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Standard LLMs are not enough. How to make them work for your business

Snorkel AI

Your curated data will fit the general shape of what you’re looking for, but it will still have complications and rough edges: Irrelevant information Project-specific Slack channels (as well as many other data sources) will likely contain irrelevant side conversations. Create a dataset through data mining.

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Fundamentals of Recommendation Systems

PyImageSearch

movies, books, videos, or music) for any user. Recommendation Techniques Data mining techniques are incredibly valuable for uncovering patterns and correlations within data. Figure 8: K-nearest neighbor algorithm (source: Towards Data Science ). Several clustering algorithms (e.g.,