awesome-vim

The Vim plugin shortlist

awesome-vscode

🎨 A curated list of delightful VS Code packages and resources.

azure_ml_k_means_clustering

https://gallery.cortanaintelligence.com/Experiment/K-Means-Clustering-4

best-websites-a-programmer-should-visit

:link: Some useful websites for programmers.

betterpython

Code examples for my Write Better Python Code series on YouTube.

blueprint

build-your-own-x

🤓 Build your own (insert technology here)

caire

Content aware image resize library

chi_square_excel_python

CHI_SQUR Test is use to analyse testing of hypothesis for categorical data

coding-interview-university

A complete computer science study plan to become a software engineer.

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

cookiecutter-hypermodern-python

Hypermodern Python Cookiecutter

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

credit-card-fraud-detection-with-r

Business Problem: Credit card fraud detection using supervise ML Model/Algorithm in R language

credit_card_fraud_detection_in_jupyter_with_r

All My projects

daily-coding-problem

Solutions to problems sent by dailycodingproblem.com

data-science--cheat-sheet

Cheat Sheets

data-science-blogs

A curated list of data science blogs

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data_science_imp_cheatsheets

very useful and Important data Science Cheatsheets

decision-tree-and-random-forest

Simple Algorithm of Decision tree and Random Forest For Bank Loan_data

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

docker-code-server

examples

feature_extraction_and_modelling_pipeline

Feature extraction is another procedure that is susceptible to data leakage. Like data preparation, feature extraction procedures must be restricted to the data in your training dataset.The pipeline provides a handy tool called the FeatureUnion which allows the results of multiple feature selection and extraction procedures to be combined into a larger dataset on which a model can be trained. Importantly, all the feature extraction and the feature union occurs within each fold of the cross validation procedure.

fun-with-python

Fun with Python

github-profile-readme-generator

🚀 Generate GitHub profile README easily with the latest add-ons like visitors count, GitHub stats, etc using minimal UI.

gitignore

A collection of useful .gitignore templates

gpt3-sandbox

The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.