Data Science and Machine Learning Project resources

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Data Science and Machine Learning Project resources

By MarksMaster
Kidney Stone and cyst Detection using Deep learning, CNN and AutoKeras image

Kidney Stone Detection Using CNN and Autokeras Millions globally suffer from kidney stones, emphasizing the need for early identification. Convolutional neural networks (CNNs) have shown promise in medical imaging,...

By MarksMaster
Traffic Congestion detection using CNN and Object detection image

Project Brief: Congestion Detection System for Road and Highways Using Pretrained CNN and Object Detection Overview: The Congestion Detection System is a Python-based solution designed to monitor and detect traffic...

By MarksMaster
Deep learning based brain tumor detection image

The project involves designing and implementing a deep learning-based brain tumor detection system using MRI images. The goal is to determine whether a person has a brain tumor by analyzing their brain MRI image. This...

By Aakash Verma
Sentiment Analysis of IMDb Reviews using Decision Tree and Multinomial Naive Bayes Models. image

In this project, we delve into the realm of sentiment analysis using machine learning techniques on the IMDb dataset. Our primary goal is to predict sentiment polarityβ€”positive or negativeβ€”of movie reviews, employing...

By Aakash Verma
Predicting Insurance Costs with Machine Learning models. image

In this project, we embark on a data-driven exploration into the world of insurance cost prediction using advanced machine learning techniques. Our primary objective is to harness the power of three distinct regression...

By Aakash Verma
Predicting Casualties in Road Accidents: A Comparative Analysis using ML Models. image

In this project, we delve into the realm of road safety analytics, aiming to predict the number of casualties in road accidents using advanced machine learning techniques. Our primary objective is to harness the power...

By Aakash Verma
Predicting Car Recommendations from Reviews: A Comparative Analysis of ML models and NLP. image

In this project, we delve into the world of sentiment analysis and recommendation prediction by utilizing advanced machine learning techniques. Our primary objective is to predict car recommendations based on customer...

By Aakash Verma
Predicting Health Condition Labels using Machine Learning (Stress Detection). image

In this project, we embark on a data-driven exploration into the realm of healthcare analytics, aiming to predict health condition labels using advanced machine learning methodologies. Our primary objective is to...

By Aakash Verma
Predicting Agent Bonus in Insurance: A Comparative Analysis of Machine Learning Models image

In this project, we embark on a journey into the realm of predictive analytics within the insurance sector, focusing on the prediction of Agent Bonus using advanced machine learning techniques. Our primary objective is...

By Aakash Verma
Predicting Consumer Purchases using Machine Learning image

In this project, Our focus is on understanding the underlying factors that influence a consumer's choice to make a purchase, and we explore the predictive accuracy of three prominent machine learning models: Decision...

By MarksMaster
Skin Cancer Detection using Deep learning using CNN and AutoKeras image

Product Description: Advanced Skin Cancer Detection System Introducing our groundbreaking solution for early skin cancer detection through the power of deep learning and innovative technology. Our system employs...

By Dr. Prerna's Computer Science(IT) Store
Machine Learning with Python - Classification using Supervised Algorithms,Visualization image

This project showcases the Classification using various ML Algorithms and Visualization of the data. It includes: Visualizing the data BoxPlot Histogram ScatterPlot Cross Tabulations Training and modeling...

By Dr. Prerna's Computer Science(IT) Store
Machine Learning With Python - Data Wrangling and Handling Numerical Data image

This project uses Python to clean the dataset. Here, the dataset has undergone data cleaning and is prepared for use with machine learning algorithms. It includes: Creating a Data Frame Describing the Data ...

By Yash Kavaiya
Provide Insights to the Marketing Team in Food and Beverage Industry image

Insights for the Marketing Team in the Food & Beverage Industry:ΒΆ Demographic Insights:- a. Gender Preference: Analyze the survey data to determine whether there is a gender preference for energy drinks. This...