1st lesson belanja
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Pranjal
- Rate RM41
- Response 1h
RM41/h
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1st lesson belanja
- Machine learning
I have 10 years of experience and I teach Machine learning, data science, Python, Artificial Intelligence
- Machine learning
Lesson location
About Pranjal
Hi, I’m Pranjal, a passionate Data Science and Machine Learning professional with hands-on experience in Python, machine learning, data analysis, and AI-driven solutions.
Over the years, I have worked extensively on real-world projects involving predictive modeling, time series forecasting, natural language processing, and data visualization. My goal is to make complex technical concepts simple, practical, and easy to understand for students from all backgrounds.
I strongly believe that learning should go beyond theory. That’s why my teaching approach focuses on practical projects, real-world use cases, and industry-relevant skills that help students build confidence and become job-ready.
Whether you are a beginner starting with Python or an aspiring data scientist looking to master machine learning, I am here to guide you step by step with clear explanations and hands-on learning.
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About the lesson
- Primary
- Secondary
- SPM
- +13
levels :
Primary
Secondary
SPM
Form 6
STPM
Adult education
Bachelor
Masters
Diploma
Doctorate
Other
Beginner
Intermediate
Advanced
Professional
Kids
- English
All languages in which the lesson is available :
English
This isn’t your typical course where you stop at toy datasets like Iris — if you’re serious about mastering GenAI, Machine Learning, LLMs, building real-world AI applications, deploying them locally and on cloud, fine-tuning models, and working with MLOps and AWS services like Lambda and Bedrock, let’s connect.
I will help you with your resume building with actual deployed projects.
GenAI
- LLMs, RAG, LangChain and Agentic AI (multi-agent frameworks)
- Prompt engineering and AI application development
- Vector databases like Chroma and FAISS
Python
- Python basics to advanced for data and AI
- Writing clean and production-ready code
- Libraries: Pandas, NumPy, Scikit-learn
Machine Learning
- End-to-end lifecycle (EDA, feature engineering, model building)
- Model tuning and evaluation
- Advanced algorithms like XGBoost and CatBoost
MLOps
- MLflow for experiment tracking and model management
- CI/CD pipelines using Jenkins
- Model monitoring and production pipelines
AWS
- Deployment using EC2 and S3
- Basics of cloud-based ML deployment
- Scalable architecture understanding
Resume Building
- Resume creation with strong project storytelling
- Portfolio with real-world projects
- Interview preparation for Data Science and AI roles
Industry Projects
- AI based data analyst using multi Agent framework with RAG.
- Document QnA using advanced RAG concepts like Hybrid RAG, Re-Ranking, Agentic RAG
- Comprehensive Industrial level clinical Trials study
- At least 10 Machine learning basic to advance projects from data preparation to model training deployment, model versioning using MLFLOW.
- MLOPS implementation using Jenkins, Docker, Lambda, Bedrock, GitHub actions, CloudWatch, Streamlit for frontend.
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Rates
Rate
- RM41
Pack rates
- 5h: RM205
- 10h: RM410
online
- RM41/h
free lessons
This first lesson is free to allow you to get to know your teacher so that they can best meet your needs.
- 1hr
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