yohannes-didana Goto Github PK

darts

A python library for easy manipulation and forecasting of time series.

dat8

General Assembly's 2015 Data Science course in Washington, DC

data-cleaning-in-python-essential-training-3086536

This is a LinkedIn Learning repo for Data Cleaning in Python Essential Training.

data-engineering-zoomcamp

Free Data Engineering course!

data_science_fundamentals

datasets

Machine learning datasets used in tutorials on MachineLearningMastery.com

datasharing

The Leek group guide to data sharing

dltfpt

Deep Learning with TensorFlow, Keras, and PyTorch

efficient_python_tricks_and_tools_for_data_scientists

Efficient Python Tricks and Tools for Data Scientists

fraudulent-credit-card

The data represents credit card transactions that occurred over two days in September 2013 by European cardholders.

graduate_admission_prediction

In this project, a regression model will be used to predict the chance of admission into a particular university based on the student's profile.

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

head_first_series_books

This Repo contain Head First series eBook.

heamy

A set of useful tools for competitive data science.

impractical_python_projects

Code & supporting files for chapters in book

improving-deep-neural-networks

Deep Learning

introduction-to-julia

Learn the language basics in this 10-part course.

ipyvizzu

ipyvizzu is the Jupyter Notebook integration of Vizzu.

kaggle-burn-cpu

Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.

kaggle-classification

A compiled list of kaggle competitions and their winning solutions for classification problems.

kaggle-image

A compiled list of kaggle competitions and their winning solutions for image problems.

kaggle-miscellaneous

A compiled list of kaggle competitions and their winning solutions for miscellaneous problems.

kaggle-regression

A compiled list of kaggle competitions and their winning solutions for regression problems.

kaggle-sequence

A compiled list of kaggle competitions and their winning solutions for sequence problems.

kaggletils

lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

lazytransform

Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.

learning-hadoop-and-spark

Companion to Learning Hadoop and Learning Spark courses on Linked In Learning

lux

Automatically visualize your pandas dataframe via a single print! 📊 💡

machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn