Lendingclub loan default prediction as capstone project for Udacity machine learning engineer nanodegree
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Updated
Mar 2, 2017 - Jupyter Notebook
Lendingclub loan default prediction as capstone project for Udacity machine learning engineer nanodegree
Repositorio para la competición de Kaggle Intel & MobileODT Cervical Cancer Screening. Predict which cancer treatment will be most effective?
Handy scripts for processing stupid, ugly, anony data . Copy and Use it !
Aspect based sentiment analysis is the determination of sentiment orientation of different textual review or post based on the aspect terms associated with that review or post. After pre-processing the data, classification report is obtained for multiple ML and Neural Network Models on training data-set and the best among them is then used for c…
In this notebook, I extensively use plotly along with seaborn and matplotlib for data visualization and Machine learning Algorithms to 'predict house prices in Ames'.
Comparing and finding the best model to predict the Status of a Loan Application.
Analyzing the spread of COVID-19 in India. Emphasized on the usage of data visualization and data preprocessing and drawing a final report based on the accuracy of the analysis.
Analyzing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visualizations, and Machine Learning Models for Classification Purposes.
Scripts developed for the "Knowledge Extraction and Machine Learning" (ECAC) class "To Loan or Not To Loan" data mining case study / Kaggle competition.
useful python scripts for data preprocessing
Manipulation of time series data and forecast CAD/USD currency using commodities
Code snippet for different machine learning and deep learning techniques for model building, feature engineering, missing value imputation, EDA, and data reading/pulling/extraction/cleaning.
HDB flats resale price prediction. Neural network in Python. Machine learning models in R. Data pre-processing, feature engineering and feature selection mainly in R.
Novel based movies dataset creation
The aim is to gain insights into similarity between countries and regions of the world by experimenting with different cluster amounts.
An ML powered model used to predict movies revenue
A pharmacokinetic model for predicting propofol concentration in a patient's body
Predicts the risk of Cardiovascular disease among patients using Machine Learning and Deep Learning techniques. Data Mining techniques are used to extract and analyse the information from the clinical records of the patient.
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