Pinned Repositories
Bank-Marketing_GB
The binary classification goal is to predict if the client will subscribe a bank term deposit or not.Gradient boosting approach has been used to get the result.
bank_term_deposit_prediction
The dataset gives you information about a marketing campaign of a financial institution in which you will have to analyze in order to find ways to look for future strategies in order to improve future marketing campaigns for the bank.The data set is imbalanced with 4521 instances and 17 columns.
bike-sharing-dataset
Analysis and model development for the Kaggle Bike Sharing Dataset.
cats-dogs
CHD_Prediction
Regression Analysis to predict 10-year risk of heart disease
Credit-risk-modelling_ML-model-
This repository has one jupyter notebook. Based on certain features present in the dataset, goal is to classify the person as a good risk or bad risk for credit.
Data-Science-.
The repository has my data science files. Jupyter notebooks, notes, exercises, projects etc.
IBM_attrition-rate
The data set consists of 35 variables including the Output variable Attrition.
Python-Jupyter_notebook
Credit: Pierian data/udemy/upx
US_illegal_immigration
Data Analytics with python
shivckr's Repositories
shivckr/CHD_Prediction
Regression Analysis to predict 10-year risk of heart disease
shivckr/Bank-Marketing_GB
The binary classification goal is to predict if the client will subscribe a bank term deposit or not.Gradient boosting approach has been used to get the result.
shivckr/bank_term_deposit_prediction
The dataset gives you information about a marketing campaign of a financial institution in which you will have to analyze in order to find ways to look for future strategies in order to improve future marketing campaigns for the bank.The data set is imbalanced with 4521 instances and 17 columns.
shivckr/bike-sharing-dataset
Analysis and model development for the Kaggle Bike Sharing Dataset.
shivckr/cats-dogs
shivckr/Credit-risk-modelling_ML-model-
This repository has one jupyter notebook. Based on certain features present in the dataset, goal is to classify the person as a good risk or bad risk for credit.
shivckr/Data-Science-.
The repository has my data science files. Jupyter notebooks, notes, exercises, projects etc.
shivckr/IBM_attrition-rate
The data set consists of 35 variables including the Output variable Attrition.
shivckr/Python-Jupyter_notebook
Credit: Pierian data/udemy/upx
shivckr/US_illegal_immigration
Data Analytics with python
shivckr/CHD-prediction
Regression Analysis to predict 10-year risk of heart disease
shivckr/churn_decision
shivckr/credit-card_fraud
ML model to predict credit card fraud detection(use of Random forest while building the model )
shivckr/Data-Breaches-2018-Visualization-with-Tableau
Data Breaches 2018 Visualization with Tableau
shivckr/Dataset
This repository has csv files used in my jupyter notebook.
shivckr/educate-resource-for-machine-learning
This ebook from Jason Brownlee. Educational perpose only! Thanks to Jason for the books.
shivckr/Insurance_claim
Filter patient in different bucket. Predict insurance claim by patient
shivckr/Model_deployment
deep learning python projects
shivckr/prostate_cancer_KNN_model
shivckr/Titanic-kaggle-problem
kaggle Titanic problem
shivckr/tutorials