Codveda Data Analytics Internship

End-to-end data analytics and machine learning projects completed during the Codveda Data Science internship.

Project Overview

Level	Task	Dataset	Key Result
Level 1	Data Cleaning	Iris	Removed duplicates, imputed missing values
Level 1	EDA	Iris	Petal features show 0.96 correlation
Level 1	Visualization	Iris	Bar, line, scatter plots
Level 2	Regression	Boston Housing	R²=0.669, RMSE=$4.93k
Level 2	K-Means Clustering	Iris	83.7% accuracy, rediscovered species
Level 3	Classification	Customer Churn	95.2% accuracy, 100% precision
Level 3	NLP Sentiment	Social Media	TextBlob pipeline, 46.7% agreement

Key Results

Churn Classification (Level 3 Task 1)

• Trained Decision Tree, Logistic Regression, Random Forest
• Tuned Random Forest with GridSearchCV (135 model fits)
• Achieved 100% precision and 95.2% accuracy
• Zero false positives on 667 test customers

K-Means Clustering (Level 2 Task 3)

• Discovered 3 species clusters WITHOUT using labels
• 83.7% overall accuracy matching botanical classifications
• Setosa identified with 100% perfect accuracy
• Adjusted Rand Score: 0.6202

Linear Regression (Level 2 Task 1)

• Predicted Boston house prices from 13 features
• R² = 0.669 (explains 66.9% of price variation)
• RMSE = $4.93k average prediction error
• Identified LSTAT and RM as strongest predictors

Tech Stack

Python 3.x
pandas          — data manipulation
numpy           — numerical operations
matplotlib      — data visualization
seaborn         — statistical visualization
scikit-learn    — machine learning
textblob        — NLP sentiment analysis
nltk            — text preprocessing
wordcloud       — text visualization
jupyter         — interactive notebooks

Project Structure

├── level1/          # Basic: Cleaning, EDA, Visualization
├── level2/          # Intermediate: Regression, Clustering
�OA�OA�OA├── level3/          # Advanced: Classification, NLP
└── requirements.txt

Setup

git clone https://github.com/YOURUSERNAME/codveda-data-analytics-internship
cd codveda-data-analytics-internship
pip install -r requirements.txt
jupyter notebook

Internship

�OA�OA�OAOrganization: Codveda Technology
�OA�OA�OADomain: Data Analytics / Data Science
Duration: 1 Month

�OA�OA�OA#CodvedaJourney #CodvedaExperience #FutureWithCodveda