This project demonstrates the working of tensorflow-extended for creating scalable ML pipelines as well to automate CI/CD pipelines.

Welcome to the Machine Learning Repository - Part 4! This repository focuses on unsupervised machine learning algorithms, particularly clustering techniques, and explores the fascinating world of ensemble methods, including boosting and bagging.

Exploratory Data Analysis & predicting medical insurance cost with machine learning.

sms spam ham classification using NLP Techniques

Car Price Prediction: Machine Learning (Data Science) Project using CarDekho.com dataset predicting prices of cars

Areca nut quality sorting is a manual process done by farmers, so this project is aimed to make areca nut quality sorting without human intervention

In the era of digital information, online search behavior offers critical insights into societal interests, trends, and behavioral patterns. This project, titled “The Data Behind the Trends: Insights from Google,” explores and analyzes Google Trends data in the Indian context, focusing on how interest in various topics evolves across categ

A bike-sharing system is a service in which bikes are made available for shared use to individuals on a short term basis for a price or free. Many bike share systems allow people to borrow a bike from a "dock" which is usually computer-controlled wherein the user enters the payment information, and the system unlocks it.

This Repo will contain the Machine Learning code and projects I will be doing

Designed an end-to-end ML model pipeline, forecasting department-wide sales by accounting for holiday markdown effects, spanning data collection to inferencing.

Student Exam Performance Indicator: ML Project Repository for analyzing and predicting student performance. Explore data, build models, and gain insights with ease.

Multi Linear Regression - Assignment - 50 Startups

To model the demand for shared bikes with the available independent variables

An education company named X Education sells online courses to industry professionals. On any given day, many professionals who are interested in the courses land on their website and browse for courses.

This repository contains a variety of Data Science projects developed for learning and practical applications. It includes end-to-end workflows such as data preprocessing, EDA, visualization, machine learning model development, evaluation, and deployment-ready code. Each project is structured for clarity and reproducibility.

Human Scream Detection using Machine Learning and Deep Learning techniques for real-time audio analysis and public safety applications.

Internship in Codeway Solution Company

This repository serves as a showcase for my data science project, demonstrating a project on prediction of high pressure compressor issentropic efficiency using machine learning algorithm

The objective of this project is to develop a machine learning model and deploy it as a user-friendly web application that predicts the resale prices of flats in Singapore.

"Explore my latest tech portfolio showcasing academic record projects and my passion for data analytics, insight generation, visualizations, model building, and project planning. These projects mark my initial foray into data science, with a continuous drive to learn and explore new ways to use data. Stay tuned for more ambitious projects!"

Designed an end-to-end ML model pipeline, forecasting department-wide sales by accounting for holiday markdown effects, spanning data collection to inferencing.

A project to predict the average prices of Avocado in USA.

This repository features a collection of my DataCamp projects, including analyzing the Google Play Store app market, investigating Netflix movie trends, building a credit card approval predictor, and increasing site subscriptions using logistic regression.

Dataset of the real-time election results of the 2019 Portuguese Parliamentary Election. Dataset describing the evolution of results in the Portuguese Parliamentary Elections of October 6th 2019. The data spans a time interval of 4 hours and 25 minutes, in intervals of 5 minutes, concerning the results of the 27 parties involved in the electoral event. Aim:- predict the final number of elected MPs in a district/national-level.

In our internship at Mentorness, we explored T20 World Cup data, using machine learning with expert guidance. Our team analyzed player performance and game outcomes, demonstrating the influence of mentorship on applying machine learning in cricket analytics.

This Jupyter Notebook analyzes financial transactions for fraud detection. It identifies a severe class imbalance (only 0.1727% fraud). Data is preprocessed by normalizing 'Time' and 'Amount'.

This repository contains code to build 21 Regression Machine Learning Models to predict the house price in Python using PyCaret. Models are compared against the statistics (RMSE), best model was picked, tuned, saved/loaded for model deployment and used to predict the observations on unseen data. The final file with predictions on unseen data was submitted to Kaggle Competition placing me in Top 20%

This repository contains the code and resources for a comprehensive case study on mortgage trading, designed to help Industrial/Organizational Economists understand the financial system, sharpen data modeling, and financial analysis skills, and experience the dynamic environment of a mortgage trading desk.

Model to identify the potential lead by assigning a score for their rate of conversion. Therefore, reaching out to potential is no more a brainstorming task.

In this project Utilizing advanced time series forecasting models, successfully predicted department-wide sales for each store for the upcoming year and Visualizing the data in streamlit GUI.