Based on the COE program of Celebal Tech where all the files and assignments are stored here.

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 project employs machine learning to forecast housing prices in California. By scrutinizing location, housing details, and demographics, it constructs various regression models like Linear Regression, KNN, Random Forest, Gradient Boosting, and Neural Networks. These models offer invaluable insights to optimize predictive real estate investment

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.

This repository contains a machine learning project for email spam detection. It includes data preprocessing, model training, evaluation, and deployment using Python and scikit-learn.

Explore our Agrotech project! We provide farmers with yield predictions, crop/fertilizer recommendations, soil analysis, and disease detection. Our Agribot simplifies farm tasks. Also, there is community to share insights and media. Let's innovate farming!

How to Machine Learning - by TEACH ME CODES

BioFlowML is a machine-learning toolbox implementing workflows for generating classification models and identification of biomarkers using microbiome data or clinical metadata.

This repository contains machine learning and deep learning projects from beginner to advanced, using TensorFlow and scikit-learn and other dependencices.

This is a remake of my Capstone Project on Image Classification using Scikit-learn and TensorFlow. I initially completed this project as a part of my Data Science diploma studies at Brainstation in June 2023.

Developing a modular platform for integrating knowledge graphs in drug discovery. This platform aims to enhance data sharing and analysis by incorporating various data sources, facilitating efficient data management and retrieval. Key features include data ingestion scripts, tools for graph construction and updates, predefined query templates

Topics related to Machine Learning

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.