Applied Data Science with DL
Project
Internship Program
Duration – 15 Weeks
Project Training – Offline / Online – 5 WEEKS
Project Development – Offline/ Online – 10 WEEKS
PROGRAM HIGHLIGHTS:
- Comprehensive Data Science Coverage
- Hands-on Python and Data Manipulation
- Expertise in Machine Learning and Model Evaluation
- Unsupervised Learning and Feature Engineering
- Incorporation of Time Series and Deep Learning
OUTCOMES:
- Ability to write efficient, readable and sustainable python Code
- Proficiency in debugging Python programs for ML applications
- Ability to interoperate with various Machine Learning Algorithms
- Ability to develop sustainable ML application
- Ability to build Deep Learning models using Keras
PROJECT EXAMPLES:
- Sales Forecasting Using Time Series Data
- Customer Segmentation Using Clustering Techniques
- Building a Chatbot with Neural Networks
- Customer Churn Prediction using KNN
- Movie Recommendation System Using Matrix Factorization
- Building a Social Media Dashboard using matplolib and seaborn
- Exploratory Data Analysis on a Large Dataset (Census)
- AI-Powered Personalized Marketing Recommendations
- AI-Powered Healthcare Diagnosis System using neural networks
TOOLS AND RESOURCES:
- Windows OS: Windows / Linux.
- Interpreter: Python 3.9 and above
- Development Tools: Google colab, Jupyter notebook
PROJECT DEVELOPMENT – 10 Weeks
Phase 1:
- Problem Definition and Data Acquisition
- Data Exploration and Preprocessing
- Modeling and Evaluation
Phase 2:
- Model Tuning and Optimization
- Deployment and Reporting
- Advanced Techniques
- Finalization and Presentation
