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learn-ab-and-multivariate-testing

🆎 Tutorial on A/B and multivariate testing :heavy_check_mark:

leetcode

LeetCode solutions, classified by tags of companies and topics.

leetcode-facebook-tag

linghu-algorithm-templete

lottery_prediction

LSTM based lottery forecast model

machine-learning-interview

Machine Learning Interviews from FAAG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

machine-learning-interview-enlightener

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

machine-learning-interview-prep

machine-learning-systems-design

A booklet on machine learning systems design with exercises

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

ml-forex-prediction

Predicting Forex Future Price with Machine Learning

mlquestions

Machine Learning and Computer Vision Engineer - Technical Interview Questions

multitask-recommendation-library

MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.

noml

A notebook for machine learning interview

pandas_exercises

Practice your pandas skills!

pikachu2

微信大数据2021 1st，qq浏览器2021 3rd，mind新闻推荐2020 1st，NAIC2020 AI+遥感影像 2nd

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

production-level-deep-learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

pyprobml

Python code for "Machine learning: a probabilistic perspective"

pytorch-project-template

Deep Learning project template for PyTorch (Distributed Learning is supported)

pytorch-template

PyTorch deep learning projects made easy.

pytorchstepbystep

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

realtime-embeddings-matching

recommendation

Recommendation System using ML and DL

recommendation_model

练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等

recommenders

Best Practices on Recommendation Systems

resume-job-description-matching

The purpose of this project was to defeat the current Application Tracking System used by most of the organization to filter out resumes. In order to achieve this goal I had to come up with a universal score which can help the applicant understand the current status of the match. The following steps were undertaken for this project 1) Job Descriptions were collected from Glass Door Web Site using Selenium as other scrappers failed 2) PDF resume parsing using PDF Miner 3) Creating a vector representation of each Job Description - Used word2Vec to create the vector in 300-dimensional vector space with each document represented as a list of word vectors 4) Given each word its required weights to counter few Job Description specific words to be dealt with - Used TFIDF score to get the word weights. 5) Important skill related words were given higher weights and overall mean of each Job description was obtained using the product for word vector and its TFIDF scores 6) Cosine Similarity was used get the similarities of the Job Description and the Resume 7) Various Natural Language Processing Techniques were identified to suggest on the improvements in the resume that could help increase the match score

rtb-papers

A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

rtbcontrol

A feedback controller for stabilizing RTB performance to a target value.

sharing_isl_python

An Introduction to Statistical Learning with Applications in PYTHON