AI, ML and Data Science-Internship
About Course
AI, ML and Data Science-Internship
Be a part of our top-rated AI ML Data Science Internship Program and learn a diverse set of skills in a highly collaborative environment. With a comprehensive curriculum and hands-on experience, you will acquire all the knowledge you need to steer your career as a data scientist.
Mode: Remote (Virtual)
Duration: Three Months
⚙️Industry based Projects
📌20+ Real Scenarios
📈5+ Business Projects
📝Doubt solving Live sessions
🔮Career Guidance
📱Dedicated LMS module
Month 1: Project Assignment & Case Study
Month 2: ML Model Developments
Month 3: Web Integrations & deployment
Other Features:
- Instructor-led training
- Practical data science
- Hassle-free programming
Your journey doesn’t end with this program. The Program comes with added benefits that last even after you’ve completed the training. You will have access to course, tutorials, blog articles, and problems and exercises to help you practice your data science skills.
- Data science training
- Post-bootcamp tutorials
Course Content
Week 1: Learning Python, AI ,ML Basics
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Python : Learning Roadmap
03:15 -
Installing Python
11:49 -
Installing Anaconda Distribution
11:36 -
Jupyter Notebook Interface
25:05 -
Getting Started with Python Coding
08:24 -
Python Variables
12:13 -
Python Data Types
19:43 -
Numpy Library & Arithmetic Operators in Python
10:06 -
User Input & Print Formatting
05:21 -
Assignment Operators in Python
07:45 -
Relationship Operators in Python
08:05 -
If Else in Python
12:51 -
Lists Methods in Python
14:33 -
Data Analysis with List
03:29 -
Data Analysis with Numpy Library
06:45 -
Play with Strings in Python
12:50 -
For Loop in Python
13:46 -
Functions in Python
11:25 -
Sets in Python
07:24 -
Tuples in Python
07:16 -
Dictionary in Python
12:19 -
Connecting SQL db using Python
04:07 -
MongoDB with Python
08:06 -
Linear Regression in ML
05:12 -
Statistics : Mean, Mode and Median with Histogram
03:43 -
Random Forest Algorithm
03:19 -
ML Model Optimization: Underfitting & Overfitting
05:25 -
ML Model Validation
05:02 -
Case Study: Price Prediction
02:56