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airbnb-sentiment-analysis

Conducted sentiment analysis on Seattle Airbnb data utilizing the VADER sentiment analysis tool and the nltk package in Python.

analysing-us-domestic-airline-flights-performance

final peer graded assignment in DATA VISUALIZATION FOR PYTHON by IBM coursera course

book-recommender-system

In this project, I designed and implemented a sophisticated Book Recommendation System using Python. The goal was to create a personalized reading experience for users by analyzing their preferences, suggesting books tailored to their tastes and the most popular books.

capstone-project-final---ibm-applied-data-science

case-study-of-starbucks-

coursera-applied-data-science-capstone

Peer-Graded Assignment: Capstone Project Notebook | Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.

customer-segmentation

In this project, unsupervised machine learning using R programming is used to model the data of Mall Customer dataset K-means clustering technique is used to cluster the data of Annual Income and Spending Scores Both elbow as well as Silhouette method is used to find the optimal number of clusters.

dash-application-us-domestic-airline-flights-performance

Graded assignments and Lab projects from course 8 of 10 in the IBM Data Science Specialization.

diabetesprediction

This project detects whether a female patient is having diabetes or not using some medical information as an input from the user like skin thickness, glucose or insulin levels, etc. The prediction model is created with the help of Support Vector Machine Classification.

diabetic-patient-readmission-prediction

In this project, our primary objective is to address the challenge of high readmission rates among diabetic patients within 30 days post discharge. We aim to identify the contributing factors to this issue and develop a predictive analytics model to identify high-risk diabetic patients prone to readmission.

e-commerce-database-handling

The e-commerce project involves a MySQL database linked to a Python IDE via a local host connection. It facilitates table creation within the database using Python and importing CSV file data into these tables. Leveraging advanced level queries through Python, it allows tasks like Aggregation, Join, Grouping, etc.

ecommerce-vendor-management

eda-python-examples

Consists all the try outs and assignments in AIML program of great lakes

insurance-price-prediction

This Project is built with machine learning algorithms and the Insurance price is predicted based on some input data such as age, gender, smoking, body mass index (BMI), number of children, and region.Python, Numpy, Pandas and supervised learning i.e. Regression is used for the prediction.

stock-market-analysis-prediction