Name: Mr. PANKAJ VISPUTE
Type: User
Company: John Deere India Pvt Ltd
Bio: Data Science enthusiast.
B. Tech in Chemical technology, Master's in Data Science, GB six sigma certified, Python, Power BI, Tablue, Statistics, MySQL
Location: Pune
Mr. PANKAJ VISPUTE's Projects
Asian cup dataset from 1988 to 2022 including ODI and T20 matches. Total 7 team participated in asia cup.
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.
Data analysis using different tools and participated in India Digi-tales project compatition
To predict delivery time based on sorting time using simple linear regression model.
Making Power BI Dashboard by using departmental data from one drive
Prediction of heart disease with binominal logistic regression ML. logistic regression model is developed which predicts heart disease up to 86% accuracy.
Prediction of customer will purchase iPhone or not using KNN classifier model and multiple supervised ML model.
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.
clustering of iris unsupervised machine learning model using KMeans clustering.
Completed assignments of Data science for verification and reference
Prediction of profit based on R&D spend, administration, marketing spend and state using multiple linear regression.
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, cleaning and analysis. Seaborn and matplotlib used for visualization purpose.
In classified dataset, target class prediction with KNN classification model.