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100-days-python

100 Days of Python coding - Udemy

algorithms-specialization

Everything related to the courses in this specialization https://www.coursera.org/specializations/algorithms

amazon-rev-study

Group 1 NLP Final Project for Fall '21 semester

awesome-causal-inference

A curated list of causal inference libraries, resources, and applications.

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-r

A curated list of awesome R frameworks, packages and software.

bert-sentiment-api

A Sentiment returning API built using BERT.

ble-pressure-transducer

Bluetooth Pressure Transducer (using ESP32)

ca_wildfire_survival

Californian Wildfire: A survival Analysis

causal-inf-nuggets

A repo for resources, tools, and techniques one can use for Causal Inference.

causalinf

This the repository for the Spring Causal Inference Course

causalmbrl

Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning

data-science

Collection of useful data science topics along with code and articles

data-science-45min-intros

Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques

datascienceresources

Open Source Data Science Resources.

datasciencespcoursenotes

Compiled Notes for all 9 courses in the Coursera Data Science Specialization

demo_gr5069

educative-code-practice

Educative.io Python practice track

efficient_python_tricks_and_tools_for_data_scientists

Efficient Python Tricks and Tools for Data Scientists

experimentation_nuggets

fall2020-project4-causal-inference-algorithm-implementation

Fall2020-Project4-group-8 created by GitHub Classroom

free-data-science-books

Free resources for learning data science

gr5069-pruthvi

A repo to try and collaborate with classmates in this project.

imodels

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

looper

A resource list for causality in statistics, data science and physics

ml-nlp-nuggets

my-first-binder

myclassproject

ADS class git trials