patilsanket48
Electrical & IT Engineer , 1+ year experience as Data analyst. Currently, M.E student of Sustainable Technology Management :- AI and Sustainability
SRH Hochschule BerlinBerlin
Pinned Repositories
Medical-Cost-Regression
## Problem Statement Today we will explore a data set dedicated to the cost of treatment of different patients. The cost of treatment depends on many factors: diagnosis, type of clinic, city of residence, age and so on. We have no data on the diagnosis of patients. But we have other information that can help us to make a conclusion about the health of patients and practice regression analysis ## Content ### Columns 1. age: age of primary beneficiary 2. sex: insurance contractor gender, female, male 3. bmi: Body mass index, providing an understanding of body, weights that are relatively high or low relative to height, objective index of body weight (kg / m ^ 2) using the ratio of height to weight, ideally 18.5 to 24.9 4. children: Number of children covered by health insurance / Number of dependents 5. smoker: Smoking 6. region: the beneficiary's residential area in the US, northeast, southeast, southwest, northwest. 7. charges: Individual medical costs billed by health insurance
Telco-Churn-Analysis-Classification-Pipeline-
Predict behavior to retain customers. We can analyze all relevant customer data and develop focused customer retention programs
Machine-Learning-pipeline-for-classification-problem
I have tried to explain the workflow for the titanic survival categorical problem with the help of SQL in R, Data Visualisation, Data Structuring, Feature Engineering, supervised ML models, Result analysis (ROC, AUC), Prediction/submission
pycaret-Open-Source-Auto-ML-Regression-Pipeline
Pycaret is an open source Auto-ML library in python which is very popular nowadays, Here you could find the project.
Convoltional-Neural-Network
In this kernel, I have tried to explain the workflow of Convolutional Neural Network categorical computer vision problem with the help of tensorflow and keras in Python.
Neural-Network
In this kernel, I have tried to explain the workflow of Neural Network categorical computer vision problem with the help of tensorflow and keras in Python.
Simple-linear-Regression
Linear regression notebook in python
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patilsanket48/Medical-Cost-Regression
## Problem Statement Today we will explore a data set dedicated to the cost of treatment of different patients. The cost of treatment depends on many factors: diagnosis, type of clinic, city of residence, age and so on. We have no data on the diagnosis of patients. But we have other information that can help us to make a conclusion about the health of patients and practice regression analysis ## Content ### Columns 1. age: age of primary beneficiary 2. sex: insurance contractor gender, female, male 3. bmi: Body mass index, providing an understanding of body, weights that are relatively high or low relative to height, objective index of body weight (kg / m ^ 2) using the ratio of height to weight, ideally 18.5 to 24.9 4. children: Number of children covered by health insurance / Number of dependents 5. smoker: Smoking 6. region: the beneficiary's residential area in the US, northeast, southeast, southwest, northwest. 7. charges: Individual medical costs billed by health insurance
patilsanket48/Simple-linear-Regression
Linear regression notebook in python
patilsanket48/Telco-Churn-Analysis-Classification-Pipeline-
Predict behavior to retain customers. We can analyze all relevant customer data and develop focused customer retention programs
patilsanket48/pycaret-Open-Source-Auto-ML-Regression-Pipeline
Pycaret is an open source Auto-ML library in python which is very popular nowadays, Here you could find the project.
patilsanket48/Neural-Network
In this kernel, I have tried to explain the workflow of Neural Network categorical computer vision problem with the help of tensorflow and keras in Python.
patilsanket48/Convoltional-Neural-Network
In this kernel, I have tried to explain the workflow of Convolutional Neural Network categorical computer vision problem with the help of tensorflow and keras in Python.
patilsanket48/Machine-Learning-pipeline-for-classification-problem
I have tried to explain the workflow for the titanic survival categorical problem with the help of SQL in R, Data Visualisation, Data Structuring, Feature Engineering, supervised ML models, Result analysis (ROC, AUC), Prediction/submission