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12-month-forecast-with-lstm

This is an example of LSTM used to forecast the next 12 months on the Air Passengers dataset.

aerosolve

A machine learning package built for humans.

algoexpert-data-structures-algorithms

A collection of solutions for all problem statements on the AlgoExpert Coding Interview platform.

autots

Automated Time Series Forecasting

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.

caffe

Caffe: a fast open framework for deep learning.

chart.js

Simple HTML5 Charts using the <canvas> tag

chartist-js

Simple responsive charts

codility

Solutions to exercises and tests at http://codility.com/

coding-interview-gym

leetcode.com , algoexpert.io solutions in python and swift

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

courses

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

crop_and_weed_detection

we made the crop and weed detection model using YOLOV3 on agricultural image data.

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

data-analysis-and-machine-learning-projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

data-science-at-the-command-line

Data Science at the Command Line

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_structures

datascience_repository

A Repository of all Data Science related models

datasciencespecialization.github.io

http://DataScienceSpecialization.github.io

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn!

forecasting

Time Series Forecasting Best Practices & Examples

golearn

Machine Learning for Go

google-images-download

Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

hummingbird

Hummingbird compiles trained ML models into tensor computation for faster inference.

imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

incubator-echarts

A powerful, interactive charting and visualization library for browser