A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

Learning to create Machine Learning Algorithms

Classification of Breast Cancer diagnosis Using Support Vector Machines

Dataprocessing framework for JavaScript 🎂

Build a Flask web application to help users retrieve key restaurant information and feature-based reviews (generated by applying market-basket model – Apriori algorithm and NLP on user reviews).

Machine Learning project to predict popularity of Instagram posts

Weather Forecasting report over the Jaipur Dataset for Rain Prediction

The python module can be used to scrape data and process data from different sources. The python module can output data as either as a dataframe in the country year format or it will output data in excel files This module has primarily been created for processing data for the International Futures (IFs) Project however, it can be used to process data in general. The module can be used to process data from the following sources, 1) World Bank World Development Indicators (WDI) 2) UNESCO Education indicators(UIS) 3) FAO Food Balance Sheets (FAO) 4) IMF Global Finance Statistics (IMF GFS) 5) Health data from the Institute for Health and Metric Evaluation (IHME) 6) Water data from FAO AQUASTAT 7) Energy data from EIA Currently this module can be run as is on Windows. For usage on Macs, the user may have to make changes to the code lines which specify paths.

List of all my AI Projects

Creating an Inverted Index of words occurring in a large set of documents extracted from web pages using Hadoop MapReduce and Google Dataproc

캡스톤 디자인을 위한 IoT 프로젝트와 스터디 내용 정리

A graphical batch data processing tool for protein crystallography

Collection of scripts to gather training (meta) data for the ML model

Data Camp Project

Process any type of data in your projects easily, control the flow of your data.

This repository contains basic Data Processing methods using Python

News Scraper App using Python and Beautiful Soup

Extract News and tweets with keywords related to Dalhousie University and education in Canada and process it in Apache spark.

Implementations on computer vision, audio and speech processing, multi-media files and streaming, multi-modal signal processing, video retrieval, semantics, and text generation.

TopN Experiment

Shiny framework for Data Science

Deploy gearpump on a docker-swarm cluster

Watch my Pytorch FB challenge course webinar on the topic Data preprocessing in DL and ML

A simple library that wraps common data processing tasks into an easy to use preprocessing engine. The library currently supports transformation of csv files loaded into Pandas dataframe.

Here we process the data (using R and python) that can be used in various sectors (like ML).

Tokenizer is an independent Open Source, Natural Language Processing python library which implements a tokenizer to create token from Both Sentence and Paragraph.

Redis js/python/c# test enviroment for LIST & PUB/SUB

Basic Machine Learning Model with python (sources: udemy)