Welcome to the Machine Learning Projects Repository! This repository contains a collection of machine learning projects that I've worked on to explore various concepts, algorithms, and techniques in the field of machine learning and artificial intelligence. Each project is organized into its own directory, and this README will help you navigate through the contents of this repository.
Project 1: Sentiment Analysis with Natural Language Processing Project 2: Image Classification using Convolutional Neural Networks Project 3: Predicting House Prices with Regression Algorithms Project 4: Customer Segmentation using Clustering Project 5: Stock Price Forecasting with Time Series Analysis Getting Started Each project directory contains its own README file that provides details about the project, its objectives, dataset sources (if applicable), and a step-by-step guide on how to reproduce the results. The code is written in Python and utilizes popular machine learning libraries such as TensorFlow, Scikit-learn, and NLTK.
To run the projects in this repository, you'll need the following prerequisites:
Python (version 3.6 or higher) Required libraries and dependencies (specified in each project's README)
Follow the instructions in the project's README to set up your environment, download datasets (if required), and run the code. Contributing Feedback, bug reports, and contributions are always welcome! If you have suggestions for improvements or would like to add your own machine learning projects to this repository, please feel free to submit a pull request.
Happy exploring and learning in the world of machine learning! If you have any questions or need assistance, feel free to contact me.
[Avijit Singh] [Machine Learnng Projects] [For more amazing projecs visit: pofoavijit.super.site] [avijitsingh2473@gmail.com]
Last updated: [5-08-2023(Saturday)]