shivckr Goto Github PK

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

chd_prediction

Regression Analysis to predict 10-year risk of heart disease

churn_decision

credit-card_fraud

ML model to predict credit card fraud detection(use of Random forest while building the model )

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-breaches-2018-visualization-with-tableau

Data Breaches 2018 Visualization with Tableau

data-science-.

The repository has my data science files. Jupyter notebooks, notes, exercises, projects etc.

dataset

This repository has csv files used in my jupyter notebook.

educate-resource-for-machine-learning

This ebook from Jason Brownlee. Educational perpose only! Thanks to Jason for the books.

ibm_attrition-rate

The data set consists of 35 variables including the Output variable Attrition.

insurance_claim

Filter patient in different bucket. Predict insurance claim by patient

model_deployment

deep learning python projects

prostate_cancer_knn_model

python-jupyter_notebook

Credit: Pierian data/udemy/upx

titanic-kaggle-problem

kaggle Titanic problem

tutorials

us_illegal_immigration

Data Analytics with python