OIBSIP - Oasis Infobyte Data Science Internship Projects

Welcome to the "OIBSIP" repository, which contains a collection of data science projects completed during the Data Science Internship at Oasis Infobyte. This repository showcases the practical skills and knowledge gained throughout the internship, covering a variety of topics in data analysis, machine learning, and predictive modeling.

Projects

1. Iris Flower Classification

• File: Iris_Flower_Classification.ipynb
• Description: This project focuses on the classic Iris flower dataset, aiming to classify different species of iris flowers based on their features. The notebook explores data preprocessing, exploratory data analysis, and the implementation of machine learning algorithms for classification.

2. Unemployment Analysis

• File: Unemployment_Analysis.ipynb
• Description: In this project, we analyze unemployment trends using relevant datasets. The notebook includes data visualization, statistical analysis, and interpretation to gain insights into unemployment patterns and potential influencing factors.

3. Car Price Prediction

• File: Car_Price_Prediction.ipynb
• Description: This project involves predicting car prices based on various features. The notebook covers data preprocessing, feature engineering, model selection, and evaluation. Machine learning techniques are applied to create a predictive model for estimating car prices.

Installation and Usage

To access and run the project notebooks, follow these steps:

1. Clone the repository using the following command:

   git clone https://github.com/Kinjallllll/OIBSIP.git
   

2. Navigate to the project directory:

   cd OIBSIP
   

3. Launch Jupyter Notebook:

   jupyter notebook
   

4. Open the desired project notebook (e.g., Iris_Flower_Classification.ipynb) and run the cells to explore the analysis and results.

About Oasis Infobyte

Oasis Infobyte is a dynamic technology company that provides various IT solutions and services. The Data Science Internship program at Oasis Infobyte offers hands-on experience and skill development in the field of data science and analytics.

Contact Information

For inquiries about the projects or internship, feel free to contact us at:

• Email: kinjalsanap69@gmail.com
• LinkedIn:https://www.linkedin.com/in/kinjal-sanap-2a5692284/

We appreciate your interest and hope you find these projects insightful and informative!