Conducting intro to data science lectures with a healthcare data challenge

This is 68th batch of data science

Leveraging machine learning techniques to predict the likelihood of heart failure in patients based on a comprehensive dataset of patient information sourced from Kaggle.

Class Imbalance

Passionate Data Enthusiast | Python, SQL | Building innovative solutions and exploring data science | Let's connect and collaborate! 🚀

lighthouse labs - datascience bootcamp

This study investigates the quality of exercise using the machine learning algorithms and classifies into varying degrees of effectiveness compared to standard practices. The exercise analyzed is dumbbell pull-ups.

welcome to my GitHub profile. Hi👋 I’m @ireddybsshr-17 About me My name is B Sai Sri Harshitha from India. I’m currently pursuing my Bachelor'of Technology in VIT AP University, Specialized in Artificial Intelligence and Machine Learning.

Data Science Portfolio

Prediction of diabetes using logistic regression analysis in R.

This repository contains concepts and project-related Data Science and Machine Learning.

This Google Colab notebook is a run through of using an existing MobileNetv2 model using Keras on a dog breed dataset.

This project focuses on predicting employee salaries using machine learning techniques, specifically linear regression. It demonstrates how data-driven models can assist HR departments, recruiters, and analysts in making informed compensation decisions based on objective performance metrics.

This is the 68th Batch of Data Science

Reduce the Number of Churn Customers and Identifying Business Impacts Based on Prediction Result by The Model

Python Data Science Handbook: full text in Jupyter Notebooks

🎨 Personal portfolio website showcasing my projects, resume, and skills in a modern, responsive design.

The dataset consists of features such as age, year of recruitment among others that help predict if an employee is eligible for promotion or not. The dataset presents a classification problem.

📊 Path to a free self-taught education in Data Science!

Collaborated with Davies Biological Sciences Lab at the University of New Brunswick to automate the manual sorting of 45k shadowgraph images captured underwater in the Bay of Fundy for research purposes. Utilized computer vision and deep learning to develop an ensemble model that achieved a 94.42% accuracy rate, striking an optimal False Positive-F