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awesome-google-colab

Google Colaboratory Notebooks and Repositories (by @firmai)

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-streamlit

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

budget-optimization-in-ecommerce-using-market-mix-modelling

To create a market mix model for ElecKart (an e-commerce firm from Ontario, Canada) for several products categories - to observe the actual impact of various marketing variables over the past and recommend the optimal budget allocation for different marketing levers for the next year. Built several Linear Regression models like Additive, Multiplicative, Koyck & Distributive Lag to identify the important KPIs that influence the company revenue and their contributions towards the revenue. The main data set is available below:

business-analytics-and-mathematics-python-book

Advanced Business Analytics and Mathematics with Python (by @firmai)

business-machine-learning

A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

colored-tsp

This repository contains a really efficient Proof of Concept implementation for solving the Colored Travelling Salesman problem for up to 70-90 cities/nodes using the Gurobi Solver v9.0.2

data-science-career

Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository

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_preprocessing_in_python

Программный код к книге "Предварительная подготовка данных в Python"

deeplearningfortimeseriesforecasting

A tutorial demonstrating how to implement deep learning models for time series forecasting

dialogpt

Russian DialoGPT

django-auth-kerberos

Kerberos authentication backend for Django

django-data-science-tutorial

dl

Курс "Глубокое обучение (Deep Learning)" (ВМК, МГУ имени М.В. Ломоносова)

etna

ETNA – Time-Series Library

evetrademaster

Простейшая программа для изучения цен на рынке EVE Online

factorization-machine

financial-machine-learning

A curated list of practical financial machine learning tools and applications.

genetic-programming-with-rtns

A python implementation of genetic programming, using the turing-complete Recursive Tree Network (RTN) structure.

google-colab-website

FirmAI Labs - World's First Google Colab Website

gpu-parallel-genetic-algorithm-using-cuda-with-python-numba

Implementation of a GPU-parallel Genetic Algorithm using CUDA with python numba for significant speedup.

graphneuralnetwork

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

hands-on-ml2

Notebooks from https://github.com/ageron/handson-ml2 as blog posts using fastpages

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

jupyter-examples

kaggle-telstra

My code for Telstra Network Disruptions Kaggle competition

kaggle_learn

Functions used in kaggle competitions: data preprocessing/feature engineering/model training etc. Many of these functions are collected from kaggle community, credits are belong to the authors :)