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26-weeks-of-data-science

Email Newsletter

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

ai-expert-roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2020

amazing-feature-engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

book_list

Python, Machine Learning, Deep Learning and Data Science Books

coding-exercises

My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.

collection-of-interview-questions-ml-pdfs

Gathered multiple pdfs regarding interview questions on machine learning and deep learning

computer-vision-interview

Interview questions to ponder related to computer vision.

cracking-the-data-science-interview

Cracking the Data Science Interview

cracking-the-data-science-interview-1

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

cracking-the-machine-learning-interview

Code snippets for our Book solutions

crackingmachinelearninginterview

A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local companies. Do this to Ace your Machine Learning Engineer Interviews

data-science-interview-resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

data-science-question-answer

A repo for data science related questions and answers

dbt-training

ds-career-resources

Compilation of resources and insights that helped me on my journey to data scientist

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

image-augmentation-using-opencv-and-python

Image Augmentation technique using OpenCV and Python

image_processing_100_questions

This is the English version of the Image processing 100 questions.

interview-prepartion-data-science

learn-co-sandbox

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

ml-interview

Preparing for machine learning interviews

ml_cheatsheet

A 5-pages only Machine Learning cheatsheet focusing on the most popular algorithms under the hood

mlinterview

:octocat: A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!

mlquestions

Machine Learning and Computer Vision Engineer - Technical Interview Questions

notes

Notes on data science, machine learning, artificial intelligence, history, and social science.

numpy-100

100 numpy exercises (with solutions)

pandas-cookbook-second-edition

Pandas Cookbook Second Edition, published by Packt

python-practice-with-datatypes-data-science-intro-000