Starred repositories
R code for "Machine Learning for Business Analytics. Concepts, Techniques, and Applications in R"
Jupyter code notebooks of "ChatGPT Prompt Engineering for Developers" by DeepLearning.AI and OpenAI.
Repo for Yale Applied Empirical Methods PHD Course
Cross-Linguistic Norms, Ratings, and Relations for Words and Concepts
This repository contains EmoBank, a large-scale text corpus manually annotated with emotion according to the psychological Valence-Arousal-Dominance scheme.
VAD analysis of text using some affective lexicon (ANEW, SENTIWORDNET, and VADER)
Predicting big five personality traits from a given text.
Library for creating causal chains using language models.
Guide on how to prepare for quant trading roles out of college
Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.
Quantitative Interview Preparation Guide, updated version here ==>
Lectures for INFO8010 Deep Learning, ULiège
CCF BDCI 2019 互联网新闻情感分析 复赛top1解决方案
Slides for the Seattle University Causal Inference Class
This is the repository for the slides used in the Seattle University Econometrics course
Replication code and downloadable example data sets for The Effect
Slides for Seattle University Course on Data Communications
This is a python API which allows you to get the transcript/subtitles for a given YouTube video. It also works for automatically generated subtitles and it does not require an API key nor a headles…
"Probabilistic Machine Learning" - a book series by Kevin Murphy
使用python抓取微博数据并对微博文本分析和可视化,LDA(树图)、关系图、词云、时间趋势(折线图)、热度地图、词典情感分析(饼图和3D柱状图)、词向量神经网络情感分析、tfidf聚类、词向量聚类、关键词提取、文本相似度分析等
It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text…
Python library to download YouTube content and retrieve metadata
Code samples for YouTube APIs, including the YouTube Data API, YouTube Analytics API, and YouTube Live Streaming API. The repo contains language-specific directories that contain the samples.
🐍 The official Python client library for Google's discovery based APIs.
D-Lab's 6 hour introduction to data wrangling with R. Learn how to manipulate dataframes using the tidyverse in R.
D-Lab's 12 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations, use control flow structures, and more, using R in RStudio.
Workshop (6 hours): Deep learning in R using Keras. Building & training deep nets, image classification, transfer learning, text analysis, visualization