# Graph nodes jobs

...of our VPN network --> [login to view URL]
Every node has some Virtual machines inside, all connected to a bridged NIC with Softether server. All datacenter **nodes** use bridge NIC connected to the VPN.
We don't have more than 40 IPs in our VPS network, but all IPs are in the same segment 1.1.1.0.
We would need to implement next things

I have two questions in **graph** theory or social network analysis
Anyone can do it in short time and efficient way ?

Implementation of this algorithm in Python for first iteration then Cython if not enought fast in a second iteration. [login to view URL] It should take an R,G,B image as input and output a text file with crackline(s) pixel coords (opencv image reference system).

...canonical tags added to the header of all our pages.
this includes rel"canonical", rel="prev", and rel"next", on our home page, category pages, and product pages.
I need Open **Graph** tags added to all our pages.
This includes og:type, titel, description, url, site_name, image, image:width, image:height
I need to add rich snippets to our home page, category

i need some one to update my training matrix where need to add **graph** for each equipment so we can see summery of which equipment in month where we did well total number of student trained and total equipment for each equipment. also need adding tabs with location which can be monitor pending training.

...has 0 or 2 children. It is up to you how many **nodes** are in the tree and which node has children and which doesn't. Each node should be represented by christmas ornament or candy (I would prefer if **nodes** without children are candy but it is not mandatory). There should be visible relationship between **nodes**, but it doesn't need to be arrows like in the

...matplotlib. The results of the simulation are returned on a matplotlib **graph**. I have a **graph** of all of the orbits, that works fine. I just need to implement a 'Change in system kinetic energy over time' plot, which I keep failing to actually return a result on, I either get an error or blank **graph**, I have 4 files:
A particle file: Contains a particle class that

I have a small data base of two columns (Receiver & Sender) I want a **graph** that demonstrate the shape of connection between these two columns (Receiver & Sender), I prefer to use Microsoft Power BI. and teach me how do it.
Example is attached also the file of sample data base

...with our theme [login to view URL]
We want to have the script installed and ready configured to function. You will have to install and configure the available **nodes** of : BTC, BCH, ETH, LTC,USDC
The work will do be done on Digital Ocean
We want to receive a working Exchange with full documentation of setup . Diagram of servers, IPs, Keys

By given a **graph**, to analyze it and find the desired information based on it.

...purposes. Explain the splitting method.
(9 points)
b) Interpret the output results:
- The accuracy rates;
- Which attributes were used to make the predictions;
- How many **nodes** and leaves you obtained;
- Include a visual tree diagram showing the structure of the model that you built.
(12 points, with a greater attention to the accuracy rate interpretation)

...purposes. Explain the splitting method.
(9 points)
b) Interpret the output results:
- The accuracy rates;
- Which attributes were used to make the predictions;
- How many **nodes** and leaves you obtained;
- Include a visual tree diagram showing the structure of the model that you built.
(12 points, with a greater attention to the accuracy rate interpretation)

get excel tables of 2018 small business montly expenses , calculate how much money was spent in a month a do a year **graph** with all year montly expenses .

we want to take some video for our electric scooter and stunt scooter Please notice that we just accept freelancer form USA!

Hello
Need help with develop Facebook **Graph** API - Need to show content on my website using Facebook API.
If you done facebook API before please contact me so we can discuss

i require matlab code for simple cyclic graphs, and with one **graph** its eigen value **graph** as well. will provide further details after your bid is accepted

We need the development of a docker compose file and containers for implementing mysql innodb cluster with 4 **nodes** with two master **nodes**.

...follows: - Use the gem devise for user authentication and gem 'net-ssh' for VPS set up. - Configure email verification after user sign-up. - From the homepage click on hosted **nodes** button. Display as cards different cryptocurrencies. At the bottom of the card allow a user to click a launch master node button - Configure active admin for all models. Allow

Looking for a Drupal/JS developer to create:
**Nodes** of "business" content type [machine name] need to have a Tab (just like View, Edit - visible only to node's author or admin). In this Tab should be plotted 4 graphs using C3 ([login to view URL]) - see attached PDF. Graphs should pull data from CSV files (i can send you links to CSV files). CSV files needs to

Read data from .txt file to plot data in a **graph** in logarithmic scale
Y axis will be data from one column (col)
Select Data from column (#5) "Volume"
X axis will be a calculation
X=col 5/((col17/sin(col21))*55)
Attached you can find a sample of the raw data need it to make the **graph**.

...Security Engine, using reverse engineering technics, extracts CFG (Control Flow **Graph**) data and used functions to understand devices normal operating conditions.
During this training the system uses the received input to calculate the weight on the Neural Network **nodes**. It could be done by using statistical methods, such as confidence intervals, where

...Security Engine, using reverse engineering technics, extracts CFG (Control Flow **Graph**) data and used functions to understand devices normal operating conditions.
During this training the system uses the received input to calculate the weight on the Neural Network **nodes**. It could be done by using statistical methods, such as confidence intervals, where

...Security Engine, using reverse engineering technics, extracts CFG (Control Flow **Graph**) data and used functions to understand devices normal operating conditions.
During this training the system uses the received input to calculate the weight on the Neural Network **nodes**. It could be done by using statistical methods, such as confidence intervals, where

**Graph**) data and used functions to understand devices normal operating conditions.
During this training the system uses the received input to calculate the weight on the Neural Network **nodes**. It could be done by using statistical methods, such as confidence intervals, where

**Graph**) data and used functions to understand devices normal operating conditions.
During this training the system uses the received input to calculate the weight on the Neural Network **nodes**. It could be done by using statistical methods, such as confidence intervals, where

**Graph**) data and used functions to understand devices normal operating conditions.
During this training the system uses the received input to calculate the weight on the Neural Network **nodes**. It could be done by using statistical methods, such as confidence intervals, where

**Graph**) data and used functions to understand devices normal operating conditions.
During this training the system uses the received input to calculate the weight on the Neural Network **nodes**. It could be done by using statistical methods, such as confidence intervals, where

The problem statement is here: Please bid if you know how to solve it. [login to view URL]

**Graph**) data and used functions to understand devices normal operating conditions.
During this training the system uses the received input to calculate the weight on the Neural Network **nodes**. It could be done by using statistical methods, such as confidence intervals, where

**Graph**) data and used functions to understand devices normal operating conditions.
During this training the system uses the received input to calculate the weight on the Neural Network **nodes**. It could be done by using statistical methods, such as confidence intervals, where

**Graph**) data and used functions to understand devices normal operating conditions.
During this training the system uses the received input to calculate the weight on the Neural Network **nodes**. It could be done by using statistical methods, such as confidence intervals, where

**Graph**) data and used functions to understand devices normal operating conditions.
During this training the system uses the received input to calculate the weight on the Neural Network **nodes**. It could be done by using statistical methods, such as confidence intervals, where

**Graph**) data and used functions to understand devices normal operating conditions.
During this training the system uses the received input to calculate the weight on the Neural Network **nodes**. It could be done by using statistical methods, such as confidence intervals, where

**Graph**) data and used functions to understand devices normal operating conditions.
During this training the system uses the received input to calculate the weight on the Neural Network **nodes**. It could be done by using statistical methods, such as confidence intervals, where

**Graph**) data and used functions to understand devices normal operating conditions.
During this training the system uses the received input to calculate the weight on the Neural Network **nodes**. It could be done by using statistical methods, such as confidence intervals, where

**Graph**) data and used functions to understand devices normal operating conditions.
During this training the system uses the received input to calculate the weight on the Neural Network **nodes**. It could be done by using statistical methods, such as confidence intervals, where

**Graph**) data and used functions to understand devices normal operating conditions.
During this training the system uses the received input to calculate the weight on the Neural Network **nodes**. It could be done by using statistical methods, such as confidence intervals, where

**Graph**) data and used functions to understand devices normal operating conditions.
During this training the system uses the received input to calculate the weight on the Neural Network **nodes**. It could be done by using statistical methods, such as confidence intervals, where

**Graph**) data and used functions to understand devices normal operating conditions.
During this training the system uses the received input to calculate the weight on the Neural Network **nodes**. It could be done by using statistical methods, such as confidence intervals, where

**Graph**) data and used functions to understand devices normal operating conditions.
During this training the system uses the received input to calculate the weight on the Neural Network **nodes**. It could be done by using statistical methods, such as confidence intervals, where

**Graph**) data and used functions to understand devices normal operating conditions.
During this training the system uses the received input to calculate the weight on the Neural Network **nodes**. It could be done by using statistical methods, such as confidence intervals, where

**Graph**) data and used functions to understand devices normal operating conditions.
During this training the system uses the received input to calculate the weight on the Neural Network **nodes**. It could be done by using statistical methods, such as confidence intervals, where

**Graph**) data and used functions to understand devices normal operating conditions.
During this training the system uses the received input to calculate the weight on the Neural Network **nodes**. It could be done by using statistical methods, such as confidence intervals, where

**Graph**) data and used functions to understand devices normal operating conditions.
During this training the system uses the received input to calculate the weight on the Neural Network **nodes**. It could be done by using statistical methods, such as confidence intervals, where

**Graph**) data and used functions to understand devices normal operating conditions.
During this training the system uses the received input to calculate the weight on the Neural Network **nodes**. It could be done by using statistical methods, such as confidence intervals, where

**Graph**) data and used functions to understand devices normal operating conditions.
During this training the system uses the received input to calculate the weight on the Neural Network **nodes**. It could be done by using statistical methods, such as confidence intervals, where

**Graph**) data and used functions to understand devices normal operating conditions.
During this training the system uses the received input to calculate the weight on the Neural Network **nodes**. It could be done by using statistical methods, such as confidence intervals, where

**Graph**) data and used functions to understand devices normal operating conditions.
During this training the system uses the received input to calculate the weight on the Neural Network **nodes**. It could be done by using statistical methods, such as confidence intervals, where

**Graph**) data and used functions to understand devices normal operating conditions.
During this training the system uses the received input to calculate the weight on the Neural Network **nodes**. It could be done by using statistical methods, such as confidence intervals, where