Thread by Avi Kumar Talaviya

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TOP 10 Machine learning algorithms you have to learn in order to stay ahead in your career (And their industry use-cases)🚀

A🧵👇
1/ Linear Regression

Use-cases:
- House-price estimations using various variables like the area of the property, location, number of bedrooms, etc.
- Stock price prediction models

Learn about supervised ML from Coursera & course curated by @DataKwery 👇
www.datakwery.com/coursera/supervised-machine-learning-regression-and-classification/?utm_source=avi&...
2/ Logistic Regression

Use-cases:
- Credit risk classification
- Fraud detection
- Medical diagnosis classification

Learn more about the ML algorithms by @DataKwery 👇
www.datakwery.com/post/top-10-ml-algorithms-with-use-cases/?utm_source=avi&utm_medium=blog
3/ Support Vector Machines

Use-cases:
- Image understanding
- Speech recognition
- Natural language processing

Learn more about the ML algorithms by @DataKwery 👇
www.datakwery.com/post/top-10-ml-algorithms-with-use-cases/?utm_source=avi&utm_medium=blog
4/ Decision Trees

Use-cases:
- Loan approval classification
- Student graduation rate classification
- Medical expenses prediction
- Customer churn prediction

Learn more about the ML algorithms by @DataKwery 👇
www.datakwery.com/post/top-10-ml-algorithms-with-use-cases/?utm_source=avi&utm_medium=blog
5/ Naive Bayes

Use-cases:
- Document classification (e.g. newspaper article category classification)
- Email spam classification
- Fraud detection

Learn more about the ML algorithms by @DataKwery 👇
www.datakwery.com/post/top-10-ml-algorithms-with-use-cases/?utm_source=avi&utm_medium=blog
6/ K-Nearest Neighbors

Use-cases:
- Product recommendation system
- Fraud prevention

Learn more about the ML algorithms by @DataKwery 👇
www.datakwery.com/post/top-10-ml-algorithms-with-use-cases/?utm_source=avi&utm_medium=blog
7/ Artificial Neural Networks

Use-cases:
- Image classification tasks
- Text classification
- Language Translation
- Language detection

Learn more about the ML algorithms by @DataKwery 👇
www.datakwery.com/post/top-10-ml-algorithms-with-use-cases/?utm_source=avi&utm_medium=blog
8/ Random Forests

Use-cases:
- Credit scoring models
- Medical diagnosis prediction
- Predictive maintenance
9/ K-Means Clustering

Use-cases:
- Customer segmentation
- Anomaly detection
- Medical image segmentation
10/ Gradient Boosting

Use-cases:
- Fraud detection
- Customer Churn Prediction
Checkout the newest article on ML algorithm published on @DataKwery

Click the link below to learn more👇
www.datakwery.com/post/top-10-ml-algorithms-with-use-cases/?utm_source=avi&utm_medium=blog
Join FREE Auto EDA and Advanced Data Frame Querying workshop with @DataKwery

Click the link below to sign up👍
us02web.zoom.us/webinar/register/4416769414682/WN_Kdz5k4LfR16Bsk5n2l2GpA
End of this thread!👍

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