We have a large set of CSV data with pricing information for airfares. They generally have the same structure but there might be 4-5 different formats over time. So you will need to import and bring them into a 'nice' format (like a large mYSQl table) We need you to provide us with: - lowest 5 fares ever found per route/cabin class (including price/
I need a three figures to be used in a short article in a trade magazine to be created and formatted nicely. See attached document.
...Pattern Variance method can recognize handwriting digit character on MNIST dataset with accuracy level 89,81% using the best parameter value radius=4,256 and 64-bin histogram, 9 region division on the image, and 10 nearest neighbor on K-NN algorithm. When tested using the data from C1 form , the system accuration value is 70,91%. Aim of my project is
Download the dataset published by the Government of Ontario from the following link: [login to view URL] The dataset includes condition information for different roads in the province. Using your knowledge of classification methods, can you suggest a model that is capable of predicting the condition of
Step 1: Create DataSet with more than 300,000 Rows. [20 Columns anything you like] Step 2: Fill this dataset into an excel file without crashing. Either save line by line or bulk. Which ever is quickly and easy. Condition: It should not crash and give memory exception error Deadline: Next 2 hours
I need two tables and a query built. One with the amazon product taxonomy created (breadcrumbs also: Clothing->Tops->Shirts... etc). Second table would be one where I can add a product attached to a particular taxonomy item. The query would be to select a taxonomy level with all the products attached to that level and its child levels. (example user
...teleconference. I have used SPSS before, so am looking for someone with advanced knowledge of SPSS to show me how would you conduct certain analysis in SPSS. I can share a dummy dataset and more detailed list of questions ahead of the training to the person who wins this request. Timeline: Want to do the training as soon as possible, and able to do this
Project has to be done by 11/16/2018 Tools to be used: Python, Jupyter Notebook. Use the following MovieLens dataset. [login to view URL] Do these steps: 1. Pre-process the data to center around movies: - Compute the average rating for each movie. - Normalize the Year of Movie Release so that 1990-later is "New",
I was creating a wordpress plugin and i need somebody help me in it...the plugin i able to list out the values from database in wp list table ..but i am not sure how to create a edit screen of that listed items. The database values are coming from forntend contact form 7 form submission.
...2 types of log dataset creation Description - Type -1 = Crawlers, bots, spiders or robots data Type -2 = Malicious users data using automated web vulnerability scanners i.e. (TypAcunetix/Netsparker/W3AF) Type-1 traffic - An external traffic that is open to the internet is needed. In detail, log files should contain crawling data collected during
Hello, I have a project on clustering a multi-attribute dataset by k-means algorithm. Actually, I have knowledge about clustering but I have a problem in passing dataset to k-means, So i am waiting your help :)
Hi all - I would like to hire a research assistant for hourly work. I cannot read Bahasa / Indonesian websites so would like someone who is fluent in both English and ...fluent in both English and Bahasa to help me. Currently I need to understand population figures for each Kabupaten. Let me know if you are able to assist me in finding this dataset.
I need help with some simple R coding, you must understand logistic regression, SVM, KNN, Classification tree and random forest. I have some code and a dataset that you need to look at. Please mention that you read this text and you can help me get my code fixed. Thanks,
We need logo detection AI plugin built to be integrated into our React Native application. For both IOS/Android. Flickr Logo Dataset will be used as the testing/training data set. [login to view URL] Will use pre-trained object detection model List of useful urls [login to view URL]
SKILLS NEEDED: * Must be knowledgeable with Excel * Preferable to be knowledgeable with Stata * Need this done quickly, though with extreme attention to detail. * Simple but tedious job – should be done quickly with a reasonable price PROJECT DESCRIPTION: * I have a survey with results in Excel. Dataset columns A-DHB (485 questions), with 940 observations
This is a traffic prediction project. I have historical data of speed, location, vehicle count and etc I expect you to do the following: 1- change format of dataset to the matrix to be imported by tensorflow 2- develop Python code using deep learning, tensorflow and etc to predict traffic 3- write the used methodology with formula in detail 4- Training
I need some data cleaning & mining work done. I have a solution in mind, but don't have time to do it properly. I have a small dataset of attributes for some items. Some items have common themes - so first I need help grouping those. This can be manually done, probably in 30 mins. (e.g. Item 1 = "Spa", Item 2 = "Spa Facilities" - common theme is
Hi, I require that a model be built with a dataset that I will supply and that, in turn, answer some questions about what was done. It is required that the work be done in python, using pandas or using libraries for machine learning.
Data ----- For this project, you will use the MovieLens 100K Dataset consisting of 100,000 movie ratings. This can be found at: [login to view URL] This is a cut-down version of the full dataset that contains 20 million ratings. The objective is to use it to provide users with recommendations of films they may enjoy. The
...stock price next day. Java code implement weka forecaster 'eat' a csv file named '[login to view URL]' (same as uploaded [login to view URL]) and write forecast result to '[login to view URL]'. Java code also call [login to view URL] to run 'FC.R' to 'eat' the same Dataset file '[login to view URL]' and ...
I have dataset and this dataset is unbalanced. Assume that there is two class and total 100. and 95 of the samples belong to A and 5 of them belong to B. Using Generative Adverarial Network make it dataset balanced. you have to produce more B class for that
...classify images in testing dataset into the correct category of expression. 1) Using the dataset in this link, write a MATLAB/ Python script that implement BoVW to encode local features into a compact representation which will then be used as input to an SVM classifier. Generate a confusion matrix based on the output of SVM. 2) Write a comment at each important
...following: create a decision tree with a simple dataset. It is important to prove it like a “base-case” 1. Pick a simple binary dataset with a known problem 2. Apply condsat on it to build a decision tree using the matrix of condsat (1 or 0) 3. Shows the result of using condsat as decision tree for this dataset Only bid if you understand the problem
...this checkbox plugin: [login to view URL] and this file structure [login to view URL] So what I need now are some tiny code snippets in a [login to view URL] file and in the [login to view URL] via jquery that perform some specific mysql actions FOR ALL SELECTRED ROWS
I need help with building a front end dashboard to display data to a client. We've built some hardware that captures wifi probe requests from wireless cards nearby. The ambition is to use the data we collect to provide insights into the environment in which we deploy the hardware. The intended use case is inside of a shopping mall. There are a number
This is nearly 80% done, but need some improvements. 1. Change the product list to data grid with these editable/sortable/filterable columns. Name,Model,Price,Cost,Quantity,Status,DateAvailable,Featured,Discounts,Specials,Length,Width,Height,Weight The demo product list is at [login to view URL] USR:
...integrate into my wordpress site) to grab the form data, then convert it into FNM format so it can be imported to Fannie Mae. Retrieve data entered to a gravity form - a version of the Uniform Loan Application Form ([login to view URL]) - and convert and export the data to fannie mae version 3.2 format (FNM). It should
...mean new record lines newly appearing in a table; a line where only column values changes does not count > when change is detected, compose a simple message and web-whatsapp ([login to view URL]) ONCE only it to a mobile no., latter to be specified > message to compose is simply <member page> <table name> <all fields of a newly detected record>
"DroneFace: An Open Dataset for Drone Research" is the title of my research paper.i need to submit a report on this research [login to view URL] are few guidelines to be followed for writing this report which i will be mentioning below. 1)Part 1: Summary (500 – 1000 words): Based on the paper, explain what the research issue is and why it is important. Then
1. download osm road data set(it is not network format) and review and repair it's geometry using ArcGIS or QGIS (dataset of 5-10 roads) 2. build network from non-network. 3. should convert it to mysql 4. implementation find nearest nodes from start and end location Build graph from edges and nodes in mysql data base
Simple SQL TABLES, entering data into MySQL.
...the following problem and then programming in MiniZinc: 1 Description of the Problem A large number of typical data analysis problems appearing in medicine and in numerous other areas can be formulated in the following way. Consider a dataset consisting of two disjoint sets O+ and O- of t-dimensional boolean vectors. For instance, with t = 8 we may have
You will have a dataset of many images. In it, some images of Space, Planets, Galaxie's... etc But also a lot of images with low resolution, cropped, with some strange objects... You will have to delete thoses ones. Here is the link for the dataset :
I have image clustering project by K-means algorithm. In order to be manipulated by k-means the image should be converted to CIE lab value. So, ...order to be manipulated by k-means the image should be converted to CIE lab value. So, I need from a Freelancer convert a given image to CIE LAB in which become an input ready dataset for kmeans algorithm.
Build me a dataset and present the 4 most insightful findings from the dataset as a short report that discusses your findings.
I have a small data set with 10 input and 1 output variables. I expect to get a good fit with this data. What happens I get a reasonable fit with the training data set, but it does not work well with the test data. For this dataset, I expect good fit with both the training and the test data. Please bid on the job if you could help me. The code is
Dataset Description: • We have the 14 CSV files with attributes IssueId, Title, Description and Story points. • Title and Description which are text/paragraph are the input to the model, and the output will be the predicted story point. • Story point Range: 1 - 40 * Text pre-processing * Feature Engineering using tf-idf * Implementation using Paragraph2Vec