Verzeo ML Projects - Data Analysis and Machine Learning

These Projects encompasses various data analysis and machine learning tasks organized into five Mini Projects. Each Mini Project focuses on specific aspects of data analysis, modeling, and visualization. Below are brief descriptions and links to the individual README files for each Mini Project:

Mini Project 1

• Title: Exploratory Data Analysis with mtcars Dataset
• Description: Analyzing the mtcars dataset using R to gain insights into the data.

Mini Project 2

• Title: Data Analysis and Regression
• Description: Analyzing data and conducting regression tasks in Python.

Mini Project 3

• Title: Statistical Analysis and Decision Tree Classification
• Description: Performing statistical analysis and decision tree classification in Python.

Mini Project 4

• Title: Classification and Clustering
• Description: Performing classification and clustering tasks using the bankloan dataset in R.

Major Project 1

• Title: Twitter Sentiment Analysis
• Description: Conducting sentiment analysis on Twitter data using R programming.

Overview

• This Major Project demonstrates a diverse set of data analysis and machine learning tasks using various datasets and programming languages, including Python and R.
• Each Mini Project is structured as a self-contained unit, focusing on specific techniques and methodologies.
• The README files for each Mini Project provide detailed information, including objectives, methodologies, code, and results.

Usage

• Explore each Mini Project individually by following the links provided above.
• You can run the code in your preferred environment for learning and reference.
• For any questions or further details, refer to the README files of each Mini Project.

Thank you for your interest in this Major Project. We hope you find these mini-projects informative and educational.