Rabindra Sapkota | Data Engineer

Data Science and ML

Foundation

Introduction and ToolBox Descriptive Statistics NumPy: Basics NumPy: Data Generation NumPy: Transforming Data

SQL & Databases

Basic SQL Intermediate SQL

Processing Data

Regex Concepts Regex in Python Pandas: Loading Data & EDA DataFrame Operations Data Cleaning with Pandas

Data Visualization

Data Visualization Concepts Matplotlib Seaborn Tableau

Statistics

Probability Distributions Hypothesis Testing

Machine Learning

ML Concepts Scaling and Encoding Model Evaluation Techniques

Supervised Learning

K-Nearest Neighbors (KNN)Support Vector Machines Linear Regression Logistic Regression Model Tuning & Pipeline

Unsupervised Learning

K-means Clustering Principal Component Analysis Natural Language Processing

LLMs and Gen AI

Prompt Engineering Huggingface Transformers

Model Deployment

Streamlit FastAPI

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