Pinned Repositories
AirBnB_Open_Data
ABOUT THE DATASET
AtliqHardware_codebasicschallenge4
AtliqHospitality_analysis_resumeproject
This is a Codebasics resume project for Challenge #1 : Provide Insights to Revenue Team in Hospitality Domain
AtliQoTelecom_Analysis_resumeproject
call_detail_record
In this notebook, we try to practice one of the most popular algorithms in Clustering that we learned in this course: k-Means algorithm.
college
In this notebook, we try to practice the linear regression algorithm that we learned in this course.
component-library
The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.
Contoso_returnanalysis
Capstone project for Business Intelligence course of Mastering Data Analytics
COVID-19-analysis
pima-indians-diabetes
In this notebook, we try to practice all the classification algorithms that we have learned in this course. We load a dataset using the Pandas library, and apply the following algorithms, and find the best one for this specific dataset by accuracy evaluation methods.
leducnguyen21's Repositories
leducnguyen21/AirBnB_Open_Data
ABOUT THE DATASET
leducnguyen21/AtliqHardware_codebasicschallenge4
leducnguyen21/AtliqHospitality_analysis_resumeproject
This is a Codebasics resume project for Challenge #1 : Provide Insights to Revenue Team in Hospitality Domain
leducnguyen21/AtliQoTelecom_Analysis_resumeproject
leducnguyen21/call_detail_record
In this notebook, we try to practice one of the most popular algorithms in Clustering that we learned in this course: k-Means algorithm.
leducnguyen21/college
In this notebook, we try to practice the linear regression algorithm that we learned in this course.
leducnguyen21/component-library
The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.
leducnguyen21/Contoso_returnanalysis
Capstone project for Business Intelligence course of Mastering Data Analytics
leducnguyen21/COVID-19-analysis
leducnguyen21/pima-indians-diabetes
In this notebook, we try to practice all the classification algorithms that we have learned in this course. We load a dataset using the Pandas library, and apply the following algorithms, and find the best one for this specific dataset by accuracy evaluation methods.
leducnguyen21/Store_Sales_TimeSeries_Forecasting
In this competition, you will predict sales for the thousands of product families sold at Favorita stores located in Ecuador. The training data includes dates, store and product information, whether that item was being promoted, as well as the sales numbers. Additional files include supplementary information that may be useful in building your models.