census_data_model using machine learning algorithm as well as deep learning algorithm

Stock Price Prediction of APPLE Using Python

Improving a Machine Learning Model

Iris Data : Classification / Pattern Recognition, Predict the Class of Flower based on Available Attributes.

Machine Learning: Group Project

Bilingual Sentiment Analysis on Two Regional Languages

Covid-19 prediction (For Nepal) with different MODELS (Sigmoidal, Linear Regressor, Random Forest Regressor) and comparisons

Supervised Machine Learning and Credit Risk

The purpose of this analysis was to create a supervised machine learning model that could accurately predict credit risk using python's sklearn library.

This contains the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling Project

A Preprocessing, Analytical and Modeling Case Study using Supervised ML Models

Predicting credit risk with machine learning algorithms and help financial institutions detect anomalies, reduce risk cases, monitor portfolios with statistical functions.

TakenMind Global Internship Program is recognized under United Nations Sustainable Development and Growth (SDG) and is a highly recognized International Certification Program. - Reference Link to the United Nations SDG #26437 TakenMind Program. TakenMind (powered by United Nations SDG Program) is offering a Global Internship in Data Analytics an…

Customer Churn Prediction

Machine-Learning project that uses a variety of credit-related risk factors to predict a potential client's credit risk. Machine Learning models include Logistic Regression, Balanced Random Forest and EasyEnsemble, and a variety of re-sampling techniques are used (Oversampling/SMOTE, Undersampling/Cluster Centroids, and SMOTEENN) to re-sample th…

Implementation of trading strategy by comparing different machine learning algorithms' accuracies.

Extract data provided by lending club, and transform it to be useable by predictive models.

With the Student Alcohol Consumption data set, we predict high or low alcohol consumption of students.

This project uses different techniques to train and evaluate models with unbalanced classes using credit card dataset to predict low-risk and high-risk credit cards.

Women's clothing Reviews dataset. Exploratory data analysis of various attributes of dataset is performed.https://www.kaggle.com/nicapotato/womens-ecommerce-clothing-reviews