Bootcamp: Data Science, Machine Learning & MLOps
2:30
Course Highlights
Master Python for data analysis and manipulation
Implement machine learning algorithms from scratch
Build predictive models using scikit-learn
Perform advanced data visualization
Get familiar with Deep Learning
Start your NLP journey
Work with big data using distributed computing
Deploy machine learning models to production
Build end-to-end data science pipelines
Weekly doubt clearing sessions
Class Schedules
Friday and Saturday
9:00 PM - 11:00 PM
Meet Your Mentors
Course Modules
Who is eligible for this course?
Wants to learn Python, Data Science, Machine and Deep Learning
CSE and non-CSE students
Software Developers
Test Engineers / QA
Network Engineers
Cloud Engineers
Who wants to excel in their industry standard ML and AI knowledge
Learning Roadmap
Phase 1: Fundamentals
Build strong data science foundations
Python Programming
2 weeks
Data Types
Functions
OOP
Mathematics
2 weeks
Statistics
Linear Algebra
Calculus
Data Analysis
2 weeks
Pandas
NumPy
Visualization
Phase 2: Machine Learning
Master core ML concepts
Supervised Learning
2 weeks
Classification
Regression
Validation
Unsupervised Learning
2 weeks
Clustering
Dimensionality Reduction
PCA
Model Evaluation
1 week
Metrics
Cross-validation
Hyperparameter Tuning
Phase 3: Deep Learning
Explore neural networks
Neural Networks
2 weeks
Architectures
Training
Optimization
Computer Vision
2 weeks
CNNs
Object Detection
Image Segmentation
NLP
2 weeks
Text Processing
Transformers
BERT
Phase 4: Production & Deployment
Deploy ML systems
MLOps
2 weeks
Model Serving
Monitoring
Version Control
Big Data
1 week
Spark
Distributed Computing
Data Pipelines
Project
2 weeks
End-to-end Implementation
Documentation
Presentation