A focused resource for mastering NumPy, featuring practice problems, code examples, and interview-oriented numerical computing techniques in Python. Covers array operations, linear algebra, and performance optimization for data science interviews.

This repo is specially for Numpy preparation and interview question as well

Machine learning concepts implemented from scratch using Python, NumPy, and Object-Oriented Programming. Includes data preprocessing, scaling, and core ML utilities for interview preparation.

Numpy Operations - Interview Preparation

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NumPy Repository for storing all practice plus interview question preparation.

Data Analytics projects and interview preparation using Python, Pandas, NumPy, and SQL.

My complete foundation work in Data Science: Pandas, NumPy, cleaning, EDA, Matplotlib/Seaborn, ML algorithms, and small end-to-end projects organized for interview preparation.

This ML project delves into real-world data, employing various ML techniques to predict taxi ride expenses. Leveraging numpy, pandas, and sklearn libraries, it encompasses the entire ML project lifecycle, emphasizing data analysis, model building, and evaluation. The culmination involves a viva, enhancing preparation for ML interviews.