文件名称：LetsUpgrade-AI-ML：AI-ML课程的作业提交
文件大小：2.69MB
文件格式：ZIP
更新时间：2024-03-04 01:55:49
JupyterNotebook
LetsUpgrade-AI-ML：AI-ML课程的作业提交
【文件预览】：
LetsUpgrade-AI-ML-master
----Day-24()
--------Decision_Tree_Attrition_DataSet.py(1KB)
--------Decision_Treee-Titanic_DataSet.py(3KB)
--------Attr_Model.dot(42KB)
--------Decision_Treee-Bank_DataSet.py(2KB)
--------Bank_Model.dot(14KB)
--------TitanicDtree.dot(34KB)
--------RandomForest_Results.xlsx(12KB)
----Day-6()
--------Day6-Assignment.ipynb(7KB)
----Day-27()
--------Day 27-KNN, SVM.ipynb(17KB)
--------Test-DataSet.csv(27KB)
--------Training-DataSet.csv(60KB)
----Day-11()
--------Day-11-AttritionProject-Correlation.ipynb(70KB)
--------general_data.csv(537KB)
----Day-4()
--------Day-4-Assignment.ipynb(7KB)
----Day-21()
--------Logistic_Regression_Bank_Loan.py(3KB)
--------Linear_Regression_House.py(1KB)
--------Logistic_Regression_Attrition.py(6KB)
----Project3-Ensemble_Technique()
--------Project- Ensemble Techniques- Problem Statement.pdf(66KB)
--------Project 3- Ensemble Technique.ipynb(598KB)
--------bank-full.csv(3.58MB)
----Day-3()
--------Day3-Assignment.ipynb(7KB)
----Pr2_TimeSeries()
--------Time-Series-Project_2.ipynb(1.27MB)
----Day35()
--------Day35-SentimentAnalysis.ipynb(101KB)
----Day-14,15()
--------Assignment-14,15.py(4KB)
----Day-7-Assignment()
--------general_data.csv(537KB)
--------Day7-AttritionDataAnalysis(Project).ipynb(579KB)
----Day-25()
--------Day-25-Naive-Bayes.ipynb(10KB)
--------Test-DataSet.csv(27KB)
--------Training-DataSet.csv(60KB)
----Pr1_Anomaly_Detection()
--------Anomaly_Detection_Project_1.ipynb(108KB)
----Day-5()
--------Day-5-Assignment.ipynb(6KB)
----Day-12()
--------general_data.csv(537KB)
--------Day-12-Statistical-Tests.ipynb(79KB)
----Day-16,17()
--------Assignment-16,17.py(6KB)
----Project5-MovieRecommendationSystem()
--------Movies-Recommendation-Project.ipynb(257KB)
----Day-10()
--------Hypothesis Examples.docx(15KB)