Name | Size | Last Modified |
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2.Linear Regression(multiple).ipynb | 286.9 KB | |
5. Use case on SVM.ipynb | 19 KB | |
5.Decision-Trees-Example.ipynb | 65.3 KB | |
6. Non-Linear-Regression.ipynb | 408.6 KB | |
7. Polynomial-Regression.ipynb | 592.3 KB | |
Admission.xlsx | 8.8 KB | |
CO2 emission.xlsx | 83.7 KB | |
Car_sales.csv | 16 KB | |
EXAM PERFORMANCE.xlsx | 15.1 KB | |
Employee data.xlsx | 67.5 KB | |
Exam.csv | 265 bytes | |
Exam_Score.xlsx | 9.9 KB | |
FuelConsumption.csv | 72.6 KB | |
Italy_gdp.csv | 1.2 KB | |
Lab2_Nonlinear regression.ipynb | 270.9 KB | |
Naïve Bayes introduction and example demonstration.ipynb | 137.3 KB | |
Notebook/ | - | |
OilPrice.xlsx | 14.8 KB | |
Personality.xlsx | 10.5 KB | |
Pos.xlsx | 9.7 KB | |
Regression Analysis | 1 bytes | |
Revise Linear Regression.ipynb | 188.7 KB | |
SMSSpamCollection.csv | 477.9 KB | |
SVM for regression.ipynb | 487.4 KB | |
Salary.xlsx | 10.7 KB | |
Sale day.csv | 24.9 MB | |
Studyscore.csv | 228 bytes | |
Technical Problem Statement.docx | 14.5 KB | |
Teledata.xlsx | 58 KB | |
bank.csv | 461.4 KB | |
bill_authentication.csv | 46.4 KB | |
cars.csv | 17.7 KB | |
cell_samples.csv | 20.6 KB | |
d.csv | 75 bytes | |
diabetes.csv | 23.8 KB | |
dummy | 1 bytes | |
petrol_consumption.csv | 1.2 KB | |
titanic.csv | 61.1 KB |