This repository covers the practical algorithms for machine learning from a variety of perspectives.
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Jan 6, 2023 - Python
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numpy-pandas
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Data includes airline reviews from 2006 to 2019 for popular airlines around the world. The main objective is to predict whether passengers will refer the airline to their friends.
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Mar 13, 2023 - Jupyter Notebook
These datasets contain over 4,000 TED talks including transcripts in many languages Founded in 1984 by Richard Salman as a nonprofit organization that aimed at bringing experts from the fields of Technology, Entertainment, and Design together. The main objective is to build a regression models to predict the number of views a video will receive.
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Mar 13, 2023 - Jupyter Notebook
🚀 HotLeads-X-Education: Unleash the power of data! Craft a model predicting 'Hot Leads' for X Education. 🌐 Dive into features, clean data, and hit an 80% conversion rate! 📊💡 Optimize the sales journey with cutting-edge data science. 💼✨ #LeadScoring #DataScienceSuccess
sklearn
exploratory-data-analysis
matplotlib
machinelearning
statsmodels
logestic-regression
numpy-pandas
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Jan 9, 2024 - Jupyter Notebook
📗 This repository provides an in-depth exploration of the predictive linear regression model tailored for Jamboree Institute students' data, with the goal of assisting their admission to international colleges. The analysis encompasses the application of Ridge, Lasso, and ElasticNet regressions to enhance predictive accuracy and robustness.
machine-learning
linear-regression
seaborn
mse
ridge-regression
statsmodels
scikitlearn-machine-learning
lasso-regression
mae
scaling-methods
train-test-using-sklearn
matplotlib-pyplot
r2score
variance-inflation-factor
elasticnet-regression
scipy-stats
numpy-pandas
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Updated
May 10, 2024 - Jupyter Notebook
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