Projects in Awesome Lists tagged with train-test-using-sklearn
A curated list of projects in awesome lists tagged with train-test-using-sklearn .
https://github.com/vineet416/eda-travel
EDA Travel data by PW Skills Data Analytics Course.
data-encoding data-preparation data-preprocessing data-visualization exploratory-data-analysis jupyter-notebook matplotlib numpy pandas plotly python sklearn-library train-test-split train-test-using-sklearn
Last synced: 14 Apr 2026
https://github.com/bhattbhavesh91/random_state_train_test_split
A simple example of random state in train test split using python
random-state train-test-split train-test-using-sklearn
Last synced: 18 Apr 2026
https://github.com/niteshchawla/jamboree-linearregression
Analysis will help Jamboree in understanding what factors are important in graduate admissions and how these factors are interrelated among themselves. It will also help predict one's chances of admission given the rest of the variables.
lasso-regression linear-regression machine-learning mean-square-error ols-regression r2-score ridge-regression scaling-methods sklearn statsmodels train-test-using-sklearn variance-inflation-factor
Last synced: 19 Apr 2026
https://github.com/jbizzlefoshizzle/linear-and-ridge-regression
The purpose of this project was to analyze and predict housing prices using attributes or features such as square footage, number of bedrooms, number of floors, and so on.
linear-regression machine-learning machine-learning-algorithms regression-analysis regression-models ridge-regression scikit-learn scikitlearn-machine-learning train-test-split train-test-using-sklearn
Last synced: 16 May 2026
https://github.com/sultanazhari/decisive-model-with-high-profit-potential-and-low-risk
OilyGiant mining company finding the best place for 200 new well points, As an Data Scientist we're creating a model who can choose the best 200 point by profit and risk.
accuracy-score chi2-contingency confusion-matrix logistic-regression matplotlib-pyplot numpy pandas python3 random-forest roc-auc-score seaborn train-test-using-sklearn
Last synced: 18 Apr 2026
https://github.com/sultanazhari/prediction-model-of-customers-leaving
Bank Beta Company focus on retain existing customers, our task is to create a model that predicts whether or not a customer will leave the bank soon.
accuracy-score confusion-matrix logistic-regression-algorithm matplotlib-pyplot numpy pandas python3 random-forest roc-auc-score seaborn train-test-using-sklearn
Last synced: 20 Apr 2026
https://github.com/sultanazhari/customer-habit-analysis-model
Megaline company wants to develop a model that can analyze consumer behavior and recommend one of Megaline's two new plans: Smart or Ultra. In this classification task, we need to develop a model that is able to choose the right package
accuracy-score decision-tree-classifier logistic-regression matplotlib-pyplot numpy pandas python3 random-forest-classifier seaborn train-test-using-sklearn
Last synced: 11 Apr 2026