peppyguy's repositories
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
ml4a.github.io
machine learning for artists
pythondata
repo for code published on pythondata.com
Agricultural-Price-Prediction-and-Visualization-on-Android-App
In Agriculture Price Monitioring , I have used data provided by open government site data.gov.in, which updates prices of market daily . Working Interface Details: We have provided user choice to see current market prices based on two choices: market wise or commodity wise use increase assesibility options. Market wise: User have to provide State,District and Market name and then select market wise button. Then user will be shown the prices of all the commodities present in the market in graphical format, so that he can analyse the rates on one scale. This feature is mostly helpful for a regular buyer to decide the choice of commodity to buy. He is also given feature to download the data in a tabular format(csv) for accurate analysis. Commodity Wise: User have to provide State,District and Commodity name and then select Commodity wise button. Then user will be shown the prices of all the markets present in the region with the commodity in graphical format, so that he can analyse the cheapest commodity rate. This feature is mostly helpful for wholesale buyers. He is also given feature to download the data in a tabular format(csv) for accurate analysis. On the first activity user is also given forecasting choice. It can be used to forecast the wholesale prices of various commodities at some later year. Regression techniques on timeseries data is used to predict future prices. Select the type of item and click link for future predictions. There are 3 java files Forecasts, DisplayGraphs, DisplayGraphs2 ..... Please change the localhost "server_name" at time of testing as the server name changes each time a new server is made. Things Used: We have used pandas , numpy , scikit learn , seaborn and matplotlib libraries for the same . The dataset is thoroughly analysed using different function available in pandas in my .iPynb file . Not just in-built functions are used but also many user made functions are made to make the working smooth . Various graphs like pointplot , heat-map , barplot , kdeplot , distplot, pairplot , stripplot , jointplot, regplot , etc are made and also deployed on the android app as well . To integrate the android app and machine learning analysis outputs , we have used Flask to host our laptop as the server . We have a separate file for the Flask as server.py . Where all the the necessary stuff of clint request and server response have been dealt with . We have used npm package ngrok for tunneling purpose and hosting . A different .iPynb file is used for the time series predictions using regression algorithms and would send the csv file of prediction along with the graph to the andoid app when given a request .
Machine-Learning-Projects
Machine Learning Experiments and Work
Machine-Learning-Notebooks
Machine Learning notebooks for refreshing concepts.
machine-learning-capstone-project
This is the final project for the Udacity Machine Learning Nanodegree: Predicting article retweets and likes based on the title using Machine Learning
pytorch-EverybodyDanceNow
Implementation of Everybody Dance Now by pytorch
Data-Analysis
Data Analysis Using Python
feature-selector
Feature selector is a tool for dimensionality reduction of machine learning datasets
Surgery-Robot-Detection-Segmentation
Object detection and segmentation for a surgery robot using Mask-RCNN on Python 3, Keras, and TensorFlow..
ZS-Data-Science-Challenge
A Data science challenge - "Mekktronix Sales Forecasting" organised by ZS through Hackerearth platform. Rank: 223 out of 4743.
list_of_recommender_systems
A List of Recommender Systems and Resources
forcasting_sales
Sales forecasting project
vibration-analysis-using-adxl345-python
A data acquisition system based on Raspberry Pi for measurement of vibrations induced due to rotation of a ball bearing. Application of data analytics to predict bearing failure based on past vibration data.
Machine-Deep-Learning-in-Python-and-R
End-to-end Modelling Examples in Python, R, Keras & PySpark
machine-learning-project-walkthrough
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!
Vehicle-Speed-Detection
A simple python code to detect speed of vehicles using OpenCV
corporacion-favorita-grocery-sales-forecasting-kaggle
forecasting project @ Forcasting-models course at Korea Univ.
2015
Public material for CS109
Walmart-Project
walmart-recruiting-store-sales-forecasting
Will_it_Python
Translating R Data Analyses to Python
ga-dashboard-demo
A demo on how to build your own Google Analytics dashboard with R, Shiny and MySQL