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advance_ml_collections

Paper implementations from scratch and machine learning tutorials

bostonhousepricing_ci_cd_pipeline

chatbot

一个可以自己进行训练的中文聊天机器人， 根据自己的语料训练出自己想要的聊天机器人，可以用于智能客服、在线问答、智能聊天等场景。目前包含seq2seq、seqGAN版本和tf2.0版本。

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

containerize-your-apps-with-docker-and-kubernetes

Containerize your Apps with Docker and Kubernetes, published by Packt

data-driven-direct-marketing

Using random forest to predict success of direct marketing for term deposits.

datascience-classificationproblem

Problem Statement : Your client is a retail banking institution. Term deposits are a major source of income for a bank. A term deposit is a cash investment held at a financial institution. Your money is invested for an agreed rate of interest over a fixed amount of time, or term. The bank has various outreach plans to sell term deposits to their customers such as email marketing, advertisements, telephonic marketing and digital marketing. Telephonic marketing campaigns still remain one of the most effective way to reach out to people. However, they require huge investment as large call centers are hired to actually execute these campaigns. Hence, it is crucial to identify the customers most likely to convert beforehand so that they can be specifically targeted via call. You are provided with the client data such as : age of the client, their job type, their marital status, etc. Along with the client data, you are also provided with the information of the call such as the duration of the call, dayand month of the call, etc. Given this information, your task is to predict if the client will subscribe to term deposit.

datascience-ml07_additional

KNN Solution for Banking

datascience_in_investment_banking

Data Science In Investment Banking

demo_mlci_cd

extract_key_information_document_understanding

Document Data Extraction

fastbook

Draft of the fastai book

foundations_for_deep_learning

Building a foundation for deep learning with mathematics and neuroscience

geocrazy

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

ipyparallel

Interactive Parallel Computing in Python

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

mifos-mobile

Repository for the Mifos Android Self Service App for clients

my-project_docker_ci_cd_demo

Basic Concepts and CI/CD Pipeline with Docker GITHUB

open-gps-tracker

A web based GPS-tracker.

plotly-dashboards-with-dash

This is the repo for the Udemy Course Python Dashboards with Plotly's Dash

salesforcemobile

geoapp

scipy-lecture-notes

Tutorial material on the scientific Python ecosystem

symbolic-regression-genetic-programming