Using Supervised Learning Classification techniques to predict Permanent Residency application outcome

Predicting Credibility using Gradient Boosting - Comparison Simple Tree, Random Forest and Boosted Trees (ML Course SS18)

This repo contains Stroke risk prediction project.

HR - Analytics machine learning project which predicts whether a person is looking for a job change or will work for a company

Multiclass classification task for imbalanced dataset using Random Forest, K-Nearest Neighbors, Support Vector Machines, XGBoost and CNN models.

Config files for my GitHub profile.

This project focuses on investigating the correlation between air quality and weather and building a prediction model based on the results of the exploratory analysis of historical climatic data of a particular region (for our project we chose Bangalore, India). This project aims to predict the air quality band for PM2.5 using present and histor…

Prediciting the Prices of House using the Boston House Price Dataset by applying the XGBoost Regressor Model

This is the github page for backing up codes and data applied in the 2022 Summer Internship Project, which focus on analyzing characteristics of mutual funds that are most significantly related with fluctuation in sales.

This project presents and discusses data-driven predictive models for predicting the defaulters among the credit card users.About Data Cleaning,Exploratory Data Analysis ,Handling Class Imbalance, Transforming Data , Fitting Different Model ,Cross Validation & Hyperparameter Tunning, Comparison of Model ,Combined ROC Curve, Feature Impotance.

Salary Prediction API using Flask predicts salaries for freshers joining organizations based on factors like past experience, company switches, courses completed, and academic marks. This Flask-based API allows users to input their details and receive a salary prediction. With no user interface, it's designed for integration into other applications

Python code for Machine Learning Algorithms

Data analysis, visualization, classification

A Machine Learning project

This project uses data from Olist - a Brazilian e-commerce platform to predict customer's review scores. The full Python code is presented in 3 steps: data preprocessing, EDA & modeling, followed by a Tableau Dashboard on customer ratings.

Flight ticket prices can be something hard to guess, today we might see a price, check out the price of the same flight tomorrow, it will be a different story. This is the reason why flight prices are quiet unpredictable. Data consisting of several details and prices of flight tickets for various airlines between the months of March and June of …

machine learning (logistic regression and other algorithm )

Data Science and Machine Learning using Python and R