PankajVispute
Data Science enthusiast. B. Tech in Chemical technology, Master's in Data Science, GB six sigma certified, Python, Power BI, Tablue, Statistics, MySQL
John Deere India Pvt LtdPune
Pinned Repositories
Asia-Cup-Analysis_Tablue
Asian cup dataset from 1988 to 2022 including ODI and T20 matches. Total 7 team participated in asia cup.
Choco-Groceries-Analysis---Python
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-India-Digi-Tales-Project-
Data analysis using different tools and participated in India Digi-tales project compatition
Delivery-time-prediction---Simple-Linear-Regression
To predict delivery time based on sorting time using simple linear regression model.
Departmental-Dashboard
Making Power BI Dashboard by using departmental data from one drive
Heart-disease----Prediction-with-Logistic-Regression
Prediction of heart disease with binominal logistic regression ML. logistic regression model is developed which predicts heart disease up to 86% accuracy.
I-phone-purchase-project--Prediction-with-KNN-Classification
Prediction of customer will purchase iPhone or not using KNN classifier model and multiple supervised ML model.
Iris-dataset---Prediction-with-multiple-classification-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.
KMeans-Clustering---Iris-dataset
clustering of iris unsupervised machine learning model using KMeans clustering.
Master-in-Data-Science-Assignments
Completed assignments of Data science for verification and reference
PankajVispute's Repositories
PankajVispute/Departmental-Dashboard
Making Power BI Dashboard by using departmental data from one drive
PankajVispute/Asia-Cup-Analysis_Tablue
Asian cup dataset from 1988 to 2022 including ODI and T20 matches. Total 7 team participated in asia cup.
PankajVispute/Choco-Groceries-Analysis---Python
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.
PankajVispute/Data-Analysis-India-Digi-Tales-Project-
Data analysis using different tools and participated in India Digi-tales project compatition
PankajVispute/Delivery-time-prediction---Simple-Linear-Regression
To predict delivery time based on sorting time using simple linear regression model.
PankajVispute/Heart-disease----Prediction-with-Logistic-Regression
Prediction of heart disease with binominal logistic regression ML. logistic regression model is developed which predicts heart disease up to 86% accuracy.
PankajVispute/I-phone-purchase-project--Prediction-with-KNN-Classification
Prediction of customer will purchase iPhone or not using KNN classifier model and multiple supervised ML model.
PankajVispute/Iris-dataset---Prediction-with-multiple-classification-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.
PankajVispute/KMeans-Clustering---Iris-dataset
clustering of iris unsupervised machine learning model using KMeans clustering.
PankajVispute/Master-in-Data-Science-Assignments
Completed assignments of Data science for verification and reference
PankajVispute/Profit-Prediction-with-Multiple-linear-Regression
Prediction of profit based on R&D spend, administration, marketing spend and state using multiple linear regression.
PankajVispute/Property_Sale_Analysis_Python
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.
PankajVispute/Target-class-prediction---with-KNN-Classification
In classified dataset, target class prediction with KNN classification model.