shwetajanwekar

Apple-Appstore-Assignment-2

Assignment-1_Survey-Analysis

this repository created for batch 102 Created by Shweta_janwekar

Assignment3-to-7

Use of COUNT,COUNTA, SUM, COUNTIF ,SUMIF, COUNTIFS, SUMIFS,MIN,MAX FUNCTIONS, CLEANED DATA, PIVOTE ANALYSIS,DASHBOARD

Capstone-project3

capstone project 3 contains prediction on burn area of Forestfires dataset and prediction on turbine energy yield of Gas turbine data

Capstone-project_1

Capstone project_1 include python code for best fit regression model, SQL feature store and tableau dashboard

Classification-with-Random-forest1

classification with random forest on Company_data and fraud_check dataset. By using random forest Classifier algorithm , predict about the segment or attributes causes high sale in Sales Category .

classsification-with-random-forest-project2

to develop this project import libraries, EDA , convert feature variable to categorical feature variable, spliiting data ,train data model, check prediction , use feature imporatance.

Prediction-with-regression

prediction with regression for salary_hike and delivery time dataset

Python-String-assignment

Used diffrent method to access string in python

Shweta-Janwekar-Batch-102

this repository created for batch 102 Created for Dataset

shwetajanwekar/Apple-Appstore-Assignment-2

shwetajanwekar/Assignment-1_Survey-Analysis

this repository created for batch 102 Created by Shweta_janwekar

shwetajanwekar/Assignment3-to-7

Use of COUNT,COUNTA, SUM, COUNTIF ,SUMIF, COUNTIFS, SUMIFS,MIN,MAX FUNCTIONS, CLEANED DATA, PIVOTE ANALYSIS,DASHBOARD

shwetajanwekar/Capstone-project3

capstone project 3 contains prediction on burn area of Forestfires dataset and prediction on turbine energy yield of Gas turbine data

shwetajanwekar/Capstone-project_1

Capstone project_1 include python code for best fit regression model, SQL feature store and tableau dashboard

shwetajanwekar/Classification-with-Random-forest1

classification with random forest on Company_data and fraud_check dataset. By using random forest Classifier algorithm , predict about the segment or attributes causes high sale in Sales Category .

shwetajanwekar/classsification-with-random-forest-project2

to develop this project import libraries, EDA , convert feature variable to categorical feature variable, spliiting data ,train data model, check prediction , use feature imporatance.

shwetajanwekar/Prediction-with-regression

prediction with regression for salary_hike and delivery time dataset

shwetajanwekar/Python-String-assignment

Used diffrent method to access string in python

shwetajanwekar/Shweta-Janwekar-Batch-102

this repository created for batch 102 Created for Dataset

shwetajanwekar/SQL-Assignments

use insert, create, select, delete, update, having ,order by, group by clause and also use window functions

shwetajanwekar/SQL_Assignment_Capstone2

Analysis of record_comany database has been done by using create, insert, update, alter ,delete functions with having, group by, order by, where clause.

shwetajanwekar/Tableau-project1

create tableau dashboards for xyz supermarket