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Please enter valid URL. Thank you. We will update the website after verifying the website address. Skip to main content. Sign In. Sign Up. Browse Companies by Activity, Age and Location. As on: May 16, Track this company. Basic Information. It is classified as Non-govt company and is registered at Registrar of Companies, Delhi.
Its authorized share capital is Rs. Its Email address is mmgoel yahoo. Number of Members. Previous Names Login to view previous names. Add to Cart. Graphical report containing historical financial performance.
Click Here to view financial report of Infosys Ltd. Lifetime access to all documents Download all 3, documents in one click View Events Timeline - List of all company events since inception.
Contact Details Email ID: mmgoel yahoo. Prosecution Details S.Have a requirement? Get Best Price. Get Latest Price. Currently, we are providing Operations and Maintenance services at more than ten locations across the country.
View Complete Details. Energo is an advanced material handling system integrator committed to help the customers enhance their capabilities. Our highly experienced team of engineers is adept in areas such as conveyor systems design, material handling equipment, rack systems, material handling consulting, warehouse management system WMS amongst other. We are an end to end solutions provider offering innovative turnkey systems.
Energo Engineering Projects Ltd. EEPLa dedicated division of Energo Group is well equipped in providing complete design, engineering, manufacturing, erection and commissioning solutions for material handling systems for Steel, Power, Ports, Cement, Fertilizer, Mining and Washeries.
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EEPL provide:. Armed with the technical expertise gained through a varied range of projects executed, we can take up any challenging and fast track project. With our highly competent technical personnel and experience, Energo has successfully completed many prestigious assignments with its pertinent equipments by giving due importance to customer demand, functional requirement and site conditions on job to job basis.
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Engineering Facility Get Best Quote. Construction Facility Get Best Quote. Project Management Get Best Quote. Balance of Plant Get Best Quote. Heavy Fouling Get Best Quote. About Us. Energo is one of the fastest growing corporates in the Indian Energy Sector. Annual Turnover Rs. Interested in this product?If you only have a few interests targeted, try adding related topics in the "More Categories" section. There you'll find options for narrowing your audience even further - choose users who have had a birthday recently, who upload a lot of photos on Facebook, etc.
Want to bring customers in store. Try targeting people who live in your town or local area. Couple this with Facebook Offers to be redeemed in store and see just how much in-store footfall you can get from being social. Upload your mailing list to Facebook. Taking advantage of the custom audiences feature often increases ad conversion rates. You can upload a mailing list or connect directly with Mail Chimp. Upload a mailing list within Facebook's Create New Audience featureWe've covered all the nitty gritty need-to-knows about Facebook advertising.
Now it's time to move on to the Facebook marketing, with tips and tricks that will help your Facebook business page grow, draw in new followers, and remain engaged with customers. In the past marketers were required to use a third-party application for FB contests, but Facebook recently changed their policy and now allows contests to be hosted directly on Facebook. Hosting a giveaway or contest on Facebook has never been easier. Hide valuable content behind a like barrier.
Try a large photo instead of the auto-generated article box. Instead of using the automatically generated link and image block generated by Facebook, attach your own larger social media pic to the post and add the link to the blog post as a neat and tidy bitly URL.
A larger image can do a better job of capturing attention. Get huge, and get creative with your social media imagesDon't be afraid to add some text to your social media image. Videos have crazy high engagement rates, so use them in your posts to get some serious attention. Redbull has a huge following thanks to their high-quality, visually captivating contentOreo uses video content on Facebook to engage with followers in a unique way, inviting them to play a game5.
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Change your Facebook cover to mix things up. Changing a cover photo to reflect a season or time of year shows fans that you are making an effort to be active and stay relevant. Updating your cover photo to advertise a special sale or giveaway will also help those events get more attention than they might receive otherwise.
Petco does a great job of incorporating a seasonal element into their cover photo7. Post frequently and consistently. The more you post, the better your chances are of being seen. Use Facebook Insights to measure your success.Execution Status Creating an execution is a process that can take just a few seconds or a few minutes or hours depending on the workload of BigML's systems.
The execution goes through a number of states before its fully completed. Using the status field in the execution you can determine if the execution has been fully processed and ready to be used. Updating an Execution To update an execution, you need to PUT an object containing the fields that you want to update to the execution' s base URL.
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Once you delete an execution, it is permanently deleted. If you try to delete an execution a second time, or an execution that does not exist, you will receive a "404 not found" response.
However, if you try to delete an execution that is being used at the moment, then BigML. Note that you can also delete all resources that have been created by the execution. Listing Executions To list all the executions, you can use the execution base URL. By default, only the 20 most recent executions will be returned. You can get your list of executions directly in your browser using your own username and API key with the following links. You can also paginate, filter, and order your executions.
Configurations Last Updated: Monday, 2017-10-30 10:31 A configuration is a helper resource that provides an easy way to reuse the same arguments during the resource creation. A configuration must have a name and optionally a category, description, and multiple tags to help you organize and retrieve your configurations.
You can also list all of your configurations. To create a new configuration, you just need to POST the name you want to give to the new configuration and configurations that contains settings for individual or any resources to the configuration base URL. Example: "This is a description of my new configuration" name optional String The name you want to give to the new configuration. Example: "my new configuration" tags optional Array of Strings A list of strings that help classify and index your configuration.
Once a configuration is successfully created, you can pass a configuration argument to any resource as part of POST requests. Elements under any are however validated at the runtime. This won't raise an error until you use the configuration to create other resources. Once a configuration has been successfully created it will have the following properties.
To update a configuration, you need to PUT an object containing the fields that you want to update to the configuration' s base URL. Once you delete a configuration, it is permanently deleted. If you try to delete a configuration a second time, or a configuration that does not exist, you will receive a "404 not found" response. However, if you try to delete a configuration that is being used at the moment, then BigML. To list all the configurations, you can use the configuration base URL.
By default, only the 20 most recent configurations will be returned. You can get your list of configurations directly in your browser using your own username and API key with the following links. You can change your settings in your account page.
Please, switch to production mode (PROD) to perform it. Continue API Quick Start Overview Authentication Requests Responses Status Codes Category Codes RESOURCES Projects Sources Datasets Samples Correlations Statistical Tests Models Ensembles Logistic Regressions Clusters Anomaly Detectors Associations Topic Models Time Series Deepnets NEW Predictions Centroids Anomaly Scores Association Sets Topic Distributions Forecasts Batch Predictions Batch Centroids Batch Scores Batch Distributions Evaluations Libraries Scripts Executions Configurations BigML.
It happens when the dataset has been computed but its data has not been serialized yet. The dataset is final but you cannot use it yet to create a model or if you use it the model will be waiting until the dataset is finished. We either could not process the task as you requested it or have an internal issue. This a status you should never see unless BigML. Creates a new resource.You can get your list of models directly in your browser using your own username and API key with the following links.
You can also paginate, filter, and order your models. This is valid for both regression and classification models. Objective Weights: submitting a specific weight for each class in classification models. Automatic Balancing: setting the balance argument to true to let BigML automatically balance all the classes evenly.
Let's see each method in more detail. We can use it as an input to create a model that will use to weight each instance accordingly. In this case, fraudulent transactions will weigh 10 times more than valid transactions in the model building computations. You can just use one of the rows and add the corresponding count as a weight field.
This will reduce the size of your sources enormously. Objective Weights The second method for adding weights only applies to classification models. Each instance will be weighted according to its class weight. This means the example below is equivalent to the example above.
If every weight does end up zero (this is possible with sampled datasets), then the resulting model will have a single node with a nil output. Each instance will be weighted individually according to the weight field's value. Confidence, importance, and pruning calculations also take weights into account. You can create an ensemble just as you would create a model with the following three basic machine learning techniques: bagging, random decision forests, and gradient tree boosting.
Bagging, also known as bootstrap aggregating, is one of the simplest ensemble-based strategies but often outperforms strategies that are more complex. The basic idea is to use a different random subset of the original dataset for each model in the ensemble.
You can read more about bagging here. Random decision forests is the second ensemble-based strategy that BigML provides. It consists, essentially, in selecting a new random set of the input fields at each split while an individual model is being built instead of considering all the input fields.
To create a random decision forest you just need to set the randomize argument to true. You can read more about random decision forests here. Each tree modifies the predictions of the previously grown tree. You must specify the boosting argument in order to apply this technique. You can also list all of your ensembles.Bookmark the NFL Odds Handicap Betting Page Feel free to bookmark the FootballLOCKS.
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