Topics related to Machine Learning

This repository is a related to all about Machine Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python), Feature Selection technique in python etc. Follow Coursesteach for more content

This repository contains project materials for the Spring 2024 STAT 208 class, specifically for Team 8. All materials are the property of Team 8, University of California, Riverside, A. Gary Anderson School of Management. Thank you for viewing our repository.

The primary objective of this project is to develop a cutting-edge forecasting model utilizing advanced machine-learning algorithms and sophisticated time-series analysis techniques. The model aims to deliver precise predictions of future sales across diverse retail outlets.

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings 👍

An AI model built to understand the sentiments transmitted through a phrase.

My Python learning experience 📚🖥📳📴💻🖱✏

Task-1 Completed as a DSBA Intern @ The Sparks Foundation

Car Price Prediction using Linear Regression Model and Decision Tree Regressor and comparison between the performance of both.

Task 3 of the Prodigy infotech Data science internship

course by campusx, on 100 days of machine learning.

Heart Disease Prediction by Python

Stock predictions with LSTM

Developed a Booking Insights data science project using Streamlit for interactive visualization. Utilized Python, Pandas, and Scikit-learn for data preprocessing, analysis, and machine learning modeling. Created intuitive user interfaces to display insights on booking patterns, customer behavior, and revenue forecasts.

📗 This repository provides an in-depth exploration of the predictive linear regression model tailored for Jamboree Institute students' data, with the goal of assisting their admission to international colleges. The analysis encompasses the application of Ridge, Lasso, and ElasticNet regressions to enhance predictive accuracy and robustness.

The Healthcare Diabetes Prediction and Management project is a data-driven initiative aimed at leveraging machine learning techniques to assist in the prediction, diagnosis, and management of diabetes mellitus, a chronic metabolic disorder affecting millions worldwide. This project integrates patient demographics, medical history, and lifestyle.

In this e-commerce customer segmentation project, we aim to analyze vast datasets to uncover distinct consumer behaviors and preferences.

An analysis on Iris dataset of Scikit learn

Business intelligence analyzer - Supermarket sales.

Apply machine learning techniques in Python to forecast wind power production.