Data Science with AI/ML
Project Internship Program
Duration – 5 / 15 Weeks
Project Training – Offline / Online – 2 or 4 Weeks
Project Development – Offline/ Online – 4 / 6/ 8 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
Projects Covered:
- 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
Recommendation - AI-Powered Healthcare Diagnosis System using
neural networks
Tools & Resources:
- Windows OS: Windows / Linux.
- Interpreter: Python 3.9 and above
- Development Tools: Google colab, Jupyter notebook
Program Outcome:
- 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 Development – 4 / 6 / 8 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
