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02_ds_data_science

100-days-of-code-data-science

Starting a 100 Days Code Challenge for Learning Data Science from Scratch

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

case_studies

first case study project.

causalpy

A Python package for causal inference in quasi-experimental settings

clarusway-ds-12-22-course

Programming Files and Projects

clarusway_data_analysis

credit-default-prediction

Final Project DS Bootcamp

data-analysis-on-stroke-prediction

The project is under category “Healthcare”, which inspects the patient’s medical information performed across various hospitals. The project primarily focuses on the causes that leads to stroke, which is a binary classification done by using ML- Supervised classification algorithms and predicting.

data-science-handwritten-notes

All Data Science Handwritten Notes Consolidated at one Place

data-science-on-aws

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

datasciencemastery

The primary goal of this repo is to provide a structured pathway for individuals interested in developing their data science skills. The resources included cover a wide range of topics, including data manipulation, statistical analysis, machine learning, and more.

deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal in

k.-tran-data-science

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

m1-machine-learning-test

Code for testing various M1 Chip benchmarks with TensorFlow.

ml-usu-sp21

ECN 5090- Machine Learning in Economics and Finance (Python)

nlu-benchmark

project_streamlit

pycon2020-nlp-

Natural Language Processing (NLP) in Python tutorial given for PyCon 2020 remote conference.

python-programming-exercises

100+ Python challenging programming exercises

pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

sas

All things SAS related (programs, macros, presentations, etc)

streamlit

Model Deployment Assignment_Price Prediction App with Streamlit

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

vectors_ml

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow