Data Science Internship Projects - CodSoft

Submitted By: Nishchal Kansara
Role: Data Science Intern
Batch: December A91
Internship Program: CodSoft

Introduction

This repository contains the Data Science projects and tasks completed during my internship at CodSoft. The projects demonstrate my learnings and hands-on experience with various Data Science techniques, tools, and algorithms.

Projects Overview

1. Titanic Survival Prediction

• This project predicts whether a passenger on the Titanic survived or not based on data like age, gender, ticket class, and fare.
• Logistic Regression & Random Forest Classifier

2. Movie Rating Prediction

• Predict movie ratings based on features like genre, director, and actors.
• Linear Regression & Random Forest Regressor

3. Iris Flower Classification

• Classify iris flowers into species based on sepal and petal measurements.
• K-Nearest Neighbors (KNN) & Decision Tree Classifier

4. Sales Prediction using Python

• Predict sales based on TV, radio, and newspaper advertising expenditures.
• Linear Regression & Support Vector Regression (SVR)

5. Credit Card Fraud Detection

• Identify fraudulent transactions using machine learning algorithms.
• Logistic Regression & XGBoost Classifier

Tools & Technologies Used

• Python
• Pandas, NumPy
• Matplotlib, Seaborn, Plotly
• Scikit-learn

Learning Outcomes

• Data preprocessing and cleaning
• Exploratory Data Analysis (EDA)
• Model building and evaluation
• Handling imbalanced datasets
• Visualization techniques

Acknowledgment

I am thankful to CodSoft for providing this internship opportunity and helping me enhance my Data Science skills.

Thank you for reviewing my work!

Nishchal Kansara
Data Science Intern at CodSoft