clustering of iris unsupervised machine learning model using KMeans clustering.

To predict species in iris dataset by using multiple classification machine learning model. Support vector machine model having accuracy score 100%. So, it is best model for prediction.

Prediction of customer will purchase iPhone or not using KNN classifier model and multiple supervised ML model.

Prediction of heart disease with binominal logistic regression ML. logistic regression model is developed which predicts heart disease up to 86% accuracy.

Prediction of profit based on R&D spend, administration, marketing spend and state using multiple linear regression.

To predict delivery time based on sorting time using simple linear regression model.

In classified dataset, target class prediction with KNN classification model.

Analysis of Choco-Bars groceries dataset using python data analysis tool. In this project pandas and numpy libraries are used with matplotlib.pyplot and seaborn visualization library.

Asian cup dataset from 1988 to 2022 including ODI and T20 matches. Total 7 team participated in asia cup.

Property sale dataset is taken for project which is medium level dataset for analysis. sale price depends on number of factors. So in this project, Pandas and NumPy used for data manupulation, clea…

Completed assignments of Data science for verification and reference

Data analysis using different tools and participated in India Digi-tales project compatition

Making Power BI Dashboard by using departmental data from one drive