presentation on the topic of data science

Data science

1. Ramgarh Engineering College ( Estd . By Govt. of Jharkhand and Run by Techno India Under PPP) Presentation of INTERNSHIP at CODTECH IT SOLUTIONS Presented By: Abhinav Kaushik (22033445002) Department of Computer S cience & E ngineering Duration: 25 th May 2024 to 25 th June 2024 (4 Weeks)

2. CONTENTS About The Company Internship Overview Data Processing Natural Language Processing (NLP) Conclusion Objective Language Used Library Used Objective Language Used Library Used

3. About The Company CodTech IT Solution is an IT services company specializing in software development, IT consulting, and technology solutions. They offer a range of services including custom software development, web and mobile application development, cloud computing, and IT support. The company aims to help businesses improve their operations and achieve their goals through innovative technology solutions.

4. Internship Overview Internship Duration: Completed a 1-month internship focused on Artificial Intelligence applications. Projects Undertaken: Developed two major projects: 1.Data Processing and 2.Natural Language Processing

5. 1. Data Processing Objective: Developed efficient data processing workflows to handle large datasets. This task involves cleaning, transforming, and preparing raw data for AI model training. Language Used: PYTHON Libraries Used: Pandas (pd) NumPy (np) Scikit-learn ( sklearn )

6. 2. Natural Language Processing (NLP) Objective: Developed NLP models to analyze and interpret human language data. This task involves working on a specific NLP problem, such as sentiment analysis or text classification. Language Used: PYTHON Libraries Used: re (Regular Expressions): ’ re.split ’ Function Built-in Python Libraries: For File Handling & String manipulation

7. Conclusion Summary of Internship Experience: Successfully completed an AI internship at CodTech IT Solutions, focusing on Data Processing and NLP projects. Key Learnings: Gained hands-on experience in AI development, data analysis, and machine learning methodologies. Future Directions: Plan to continue advancing skills in AI, with a focus on deep learning and advanced NLP techniques.