sougatob Goto Github PK

2021-07-13-scipy-pandas

Learn Python Through Data Processing in Pandas

2021-cs109a

aml

Applied Machine Learning with Python

an-introduction-to-statistical-learning

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

apm_exercises

Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)

applied-predictive-modeling-with-python

A collection of notebook to learn the Applied Predictive Modeling using Python.

appliedpredictivemodeling

:exclamation: This is a read-only mirror of the CRAN R package repository. AppliedPredictiveModeling — Functions and Data Sets for 'Applied Predictive Modeling'. Homepage: http://appliedpredictivemodeling.com/

appliedpredictivemodeling-1

Data and code from Applied Predictive Modeling (2013)

approachingalmost

Approaching (Almost) Any Machine Learning Problem

aws-machine-learning-university-accelerated-tab

Machine Learning University: Accelerated Tabular Data Class

aws-machine-learning-university-dte

Machine Learning University: Decision Trees and Ensemble Methods

calm-notebooks

notebooks that are used at calmcode.io

caret

caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

content

Official content for Harvard CS109

coursera-deep-learning-specialization

Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

courses

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

courses-1

Course materials

cs229-2018-autumn

All notes and materials for the CS229: Machine Learning course by Stanford University

cs229-python

Exercises and solutions to Stanford CS229 Machine Learning in Python

cs229_ml

🍟 Stanford CS229: Machine Learning

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

data-science-road-map

A roadmap for those looking to start or expand a career in the data community

datasciencespcoursenotes

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

datasets

A collection of datasets of ML problem solving

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-learning-with-r-2nd-edition-code

Code from the book "Deep Learning with R, 2nd Edition"

dl-chem-101

Example implementations of common machine learning projects in chemistry.

eeg-datasets

A list of all public EEG-datasets

exercises

This repository has exercises for videos taught on the YouTube channel 'learndataa'.

fes

Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson