Project 2: Classification with Health Records

Which client will subscribe to a term deposit? - Predictive Analytics on the imbalanced Bank Marketing data.

Introduction on Logistic Regression and its use in Python using the Titanic Dataset

predicting count of bike sharing

🌽Predictive Modeling

This is ongoing Santander value prediction challenge on Kaggle.

Progressive contributions towards Big Data - ML in particular.

This is a Kaggle competition. The goal is to predict the probability that a driver will initiate an auto insurance claim in the next year. The number of training samples is around 900,000. There are around 50 raw features, and 180 features after preprocessing. The evaluation metric is Gini coefficient.

In this repository, we will be addressed a regression problem that will allow us to predict the value of two outputs within the UPDRS scale. This problem is related to Parkinson's disease. The language that will be used here will be Python.

Prediction of house price - Linear Regression, Map visualization-ggplot2 (coordinates), Clustering Visualization (coordinates with price)

Conducted feature engineering, predictive modeling and cross-validation to predict housing price.

Investment simulation and visualization app made with R

This is a prediction model to predict annual income for an adult whether it will be more or less than 50K. and explaining all the classification model evaluation metrics and curve like ROC, AUC, Precision _recall, Gini, Ks_score, Logloss, Concordance.

Practice exploratory analysis, feature engineering, build and deploy machine learning model for predicting house price. Data set obtained from kaggle.

Predicts whether A body cell is cancerous or not based on Support Vector Machine Algos

Machine learning algorithms applied to the property value project.