sasha-talks-tech

sasha-talks-tech's Stars

• eriklindernoren/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 linear regression to deep learning.

  Language:Python23.9k938704.6k

• stefan-jansen/machine-learning-for-trading

  Code for Machine Learning for Algorithmic Trading, 2nd edition.

  Language:Jupyter Notebook13.1k3852984.2k

• daviddao/awful-ai

  😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness

  7k30029230

• khuyentran1401/Data-science

  Collection of useful data science topics along with articles, videos, and code

  Language:Jupyter Notebook4k14381k

• thunlp/PLMpapers

  Must-read Papers on pre-trained language models.

  3.3k14912436

• aws-samples/aws-machine-learning-university-accelerated-nlp

  Machine Learning University: Accelerated Natural Language Processing Class

  Language:Jupyter Notebook2.3k1774610

• mGalarnyk/datasciencecoursera

  Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

  Language:HTML2.2k12392.1k

• chiphuyen/lazynlp

  Library to scrape and clean web pages to create massive datasets.

  Language:Python2.2k7411311

• kk7nc/Text_Classification

  Text Classification Algorithms: A Survey

  Language:Python1.8k747545

• adashofdata/nlp-in-python-tutorial

  comparing stand up comedians using natural language processing

  Language:Jupyter Notebook1.7k9191.4k

• sahandha/eif

  Extended Isolation Forest for Anomaly Detection

  Language:Jupyter Notebook4451928117

• nikhgarg/EmbeddingDynamicStereotypes

  Language:Python1598541

• dnackat/mitx-6.86x-machine-learning

  Python code written for MIT's Machine Learning course offered on edX

  Language:Python1236187

• sinclam2/intro-to-probability-solutions

  Solutions to the exercises in Grinstead and Snell's Introduction to Probability

  Language:Jupyter Notebook835234

• ewsheng/nlg-bias

  Dataset + classifier tools to study social perception biases in natural language generation

  Language:Python66366

• IBMDeveloperUK/Python-Geopandas-Workshop

  In this workshop you will learn about pandas and geopandas by exploring UK Crime Data in a Jupyter notebook

  Language:Jupyter Notebook579029

• casmlab/get-nytimes-articles

  Python tools for getting data from the New York Times Article API. Retrieves JSON from the API, stores it, parses it into a CSV file.

  Language:Python479625

• yezhilengyue/Python_ML_Practice

  Following the instruction of "Machine Learning Mastery With Python"

  Language:Jupyter Notebook417033

• kamalkraj/books

  Learning Books

  Language:HTML3711

• AashitaK/nyt-comments

  A python package that retrieves comments from the New York Times articles customized with respect to timeline and queries and return the comments' and articles' data as pandas dataframes with an option to store it as csv files.

  Language:Jupyter Notebook224011

• KellyHwong/MIT-ML

  MITx: 6.86x Machine Learning with Python: from Linear Models to Deep Learning

  Language:Jupyter Notebook160010

• serdardoruk/Amazon-Online-Assessment-Python-Solutions

  The questions are listed on Leetcode under 'Amazon OA' title, some solutions are gathered from different comments, some of them are my solutions. It is good to have them in one place. Enjoy. You can find the list on leetcode here: https://leetcode.com/discuss/interview-question/344650/Amazon-Online-Assessment-Questions

  Language:Python16305

• LiangRongguo/CSE6242-Data-Visualization-and-Analysis

  Homework for CSE 6242

  Language:HTML151026

• mollyryanruby/Olist_Ecommerce_Recommendation_Engine

  Recommendation Engine for Ecommerce Site Olist

  Language:Jupyter Notebook13103

• njfritter/ml-mastery

  Going through the courses and information provided by "Jason@ML Mastery"

  Language:Python87

• hrshtv/ML-From-Scratch

  Some Machine Learning algorithms implemented by me, mostly from scratch

  Language:Jupyter Notebook5103

• sudraj23/RegressionAssignments

  Assignments for the course IsYE 6414: Regression Analysis offered on campus at Georgia Tech in the Fall 2018. All problems coded in R.

  43

• BhagyashriT/DICLAB2-DataAggregationBigDataAnalysisAndVisualization

  Collected data about from three sources, one opinion-based social media in twitter, research data in New York Times, and the third is the common crawl data for the same topic or key phrase, and from similar time periods. Processed the three data sets collected individually using classical big data methods like Map Reduce in Google Dataproc Clusters. And then compared the outcomes using popular visualization methods in tableau.

  Language:Python2100

• brittbowers/Tweets-Spread-Like-Wildfire

  Topic modeling and clustering of wildfire tweets hosted in AWS PostgreSQL database

  Language:Jupyter Notebook2200

• clevyclev/Deep-Learning-Projects

  Neural networks and machine learning algorithms

  Language:HTML2101