A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

🚀 500+ curated resources for Data Analysis & Data Science: Python, SQL, Statistics, ML, AI, Visualization, Cheatsheets, Roadmaps, Interview Prep. For beginners and experts.

Machine Learning interview prep guide

This repo is meant to serve as a detailed guide for Machine Learning/AI interviews.

Preparation for Machine Learning Interview

A SQL port of python's scikit-learn preprocessing module, provided as cross-database dbt macros.

Preparation material and resources for the ML (including DL) and Quant Research interviews

Windows tool for side-by-side image & text viewing, manual caption/tag editing, and batch dataset operations. Perfect for LoRA & ML dataset prep. 100% offline, private, and easy to use.

RoadMap and preparation material for Machine Learning and Data Science - From beginner to expert.

本程序实现决策树的建立与可视化，以及决策树的预剪枝与后剪枝，数据集为西瓜书4.2、4.3节中的西瓜数据集

No description available

No description available

A comprehensive resource for machine learning interview preparation, featuring coding challenges, algorithm explanations, and practical Python examples. Covers supervised and unsupervised learning, model evaluation, and data preprocessing for technical interviews.

No description available

Machine learning robotics engineer preparation material.

A curated collection of resources, notes, and practice problems for mastering machine learning concepts and acing technical interviews. Covers algorithms, coding challenges, and theoretical questions with Python examples and detailed explanations.

All in one place for Interview Preps - DSA - Data Analytics - ML/DL - Technical Interviews

Implementation of popular data preprocessing algorithms for Machine learning

Repository for AWS Solution Architect Professional exam preparation, including theory and practice (hands-on labs).

A complete No-Code Machine Learning platform built with Streamlit. Upload datasets, visualize data, and train models (Regression, SVM, K-Means, PCA) directly in the browser.

generation of training-optimised weather datasets from declarative syntax

:zap: Machine Learning Preprocessing CLI

This repository explores the impact of data preprocessing on regression modeling using the Carseats dataset. It compares models built with raw data versus preprocessed data, highlighting improvements through handling missing values, outliers, scaling, and encoding categorical features.

Machine Learning Data Preparation Tool

This repository includes all the necessary materials for Machine Learning Interview including coding and System Design Interview.

This dbt package produces a number of different machine learning preprocessing techniques inline in sql

This project shows steps to build an end to end MLOps architecture that covers data prep, model training, realtime and batch inference, build model registry, track lineage of artifacts and model drift detection. It utilizes SageMaker Pipelines that offers machine learning (ML) to orchestrate SageMaker jobs and author reproducible ML pipelines.

This repo has all the materials to learn AI/ML , Data science from scratch.

2D Wavelet decomposition/reconstruction for raster data

No description available