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How to Create a Test Set to Approximate Business Metrics Offline
We address one key component of designing an offline evaluation environment - creating a test set to evaluate machine learning performance.
Aarshay Jain 06 Feb, 2020
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Build your first Machine Learning pipeline using scikit-learn!
Learn to build a machine learning pipeline from problem to prediction, covering data exploration, model building, & feature importance!
Lakshay arora 31 Dec, 2024
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A Guide to Link Prediction – How to Predict your Future Connections on Facebook
Can you predict your next friend request on Facebook? Here is an introduction on link prediction and learn about link prediction in social networks.
Prateek joshi 21 Apr, 2020
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Your Ultimate Learning Path to Become a Data Scientist and Machine Learning Expert in 2020
Path to become a data scientist and machine learning expert. This guide helps those who want to become a data scientist, includes courses, guides and more
Pranav Dar 21 Apr, 2020
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2019 In-Review and Trends for 2020 – A Technical Overview of Machine Learning and Deep Learning!
Analytics Vidhya picks out its best highlights from 2019 in data science, machine learning and deep learning and provides its predictions for 2020!
Analytics Vidhya 24 Dec, 2019
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How to use a Machine Learning Model to Make Predictions on Streaming Data using PySpark
Streaming data is the big thing in machine learning. Learn about how to use a machine learning model to make predictions on streaming data using PySpark.
Lakshay arora 21 Apr, 2020
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6 Powerful Feature Engineering Techniques For Time Series Data (using Python)
Feature engineering for time series data can give you an edge over your competition. Learn how to perform this technique for time series data using python.
Aishwarya Singh 06 Nov, 2024
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6 Challenging Open Source Data Science Projects to Make you a Better Data Scientist
Data science projects from github to make you a better data scientist. In this article learn about interesting data science projects from NLP to vision.
Pranav Dar 21 Apr, 2020
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A Unique Method for Machine Learning Interpretability: Game Theory & Shapley Values!
Discover Game Theory basics, Cooperative Game Theory, Shapley values, their intuition, and their use for ML interpretability with SHAP in Python.
Ankit Choudhary 16 Oct, 2024
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Want to Build Machine Learning Pipelines? A Quick Introduction using PySpark
Machine learning pipelines in PySpark are easy to build if you follow a structured approach. Learn how to build ML pipelines using pyspark.
Lakshay arora 22 Apr, 2020
