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    ...push aggregated event data to pre-defined destinations, expose APIs for accessing the incremental data 2. Build a responsive web application that renders the reports (can use open source visualization tools as well) Approach and Timeline We expect this project to be completed within three weeks. The final code will need to be deployed in our

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    I would like to integrate a predictive dialer with our Zoho CRM. Include in your bid details regarding setup, integration with Zoho CRM and time to complete and implement.

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    ...and payroll (using small business online accounting applications such as QuickBooks and Xero). In consulting area – finance modeling and analysis (for example, creating predictive financial models, financial modeling as a part of business planning, budgeting, business valuation based on the historical and forecast cash flows), managerial reporting

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    I need a frontend with asterisk api to open the client's registry when the connection is answered, this connection is generated in principle from a predictive dialer inside the asterisk but can be dialed by the operator also in order to return a contact, and that system you must have the option to import a CSV file of mailing that we receive to dial

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    ...training/teaching 2. Past experience of delivering self-paced learning modules, remote or face to face training will be an added advantage 3. Must have experience of data science, predictive modelling, machine learning, NLP, etc. 4. Experience of working in analytics field with one or more programming languages - SAS/R/Python/Scala 5. Good written and

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    An expert in DataMainng. This includes the good handling of the preprocess stage depending on the data we have, data analysis in such way to help us understand the d...good handling of the preprocess stage depending on the data we have, data analysis in such way to help us understand the data correctly and finaly build the appropriate predictive model

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    1) Why do we need Predictive Analytics? 2) Job Opportunities, and Market Demand for Predictive Analytical Skills? 3) Career after Engineering in Analytics Please use the keywords 4/5 times in the blog. Keywords for the blogs are - 1) Predictive Analytics 2) Predictive Analytical Skills 3) Career after Engineering Create the blog with subheaders

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    1. Choose applications after discussion with your gro...your data) 3. Descriptive analytics (If you are scrapping Text data (use word-cloud) you need to visualise it to solve some potential question, if other data (other descriptive statistics to perform this task) 4. You may use machine learning/lexicon based analysis to do some predictive analysis.

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    I need someone with great machine learning skills (especially in predictive analysis) to work with me on a project. We will both work on it while you provide guides to me to make it work.

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    ...account > 14. Predictive / Auto Search for website > 15. Space for custom rotation banner advertising/ Link placement ( Banners/ Links to be provided by us ) > 16. Space for google adsense ads ( Code to be provided by us) > 17. Admin panel for Subdomain management ( e.g restaurant managers can update their page/ website from our control panel provided

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    ...of these algorithms/methods/techniques in R/Python Required Experience, Skills and Qualifications 3+ years experience working Data Mining and Statistical Modelling for predictive and prescriptive enterprise analytics. 2+ years of working with Python, Machine learning with exposure to one or more ML/DL frameworks like Tensorflow, Caffe, Scikit-Learn

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    1. A functioning interface allowing a user to track a product given a url, hashtag, or topic, a. This will include graphs and analysis 2. A framework that can run the appropriate analysis on a given input, a. Running buy/sell analysis on bitcoin (momentum analysis or moving average) b. K-Clustering on hashtag analysis (Is this tweet similar to this other tweet) c. Track a series of amazon produc...

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    Hi Mohamed, I am looking for a basic predictive model to predict the outcome of a Kickstarter project before it is uploaded. As it is a classification problem I am looking to implement algorithms like knn, naive Bayes and j48. A chunk of work has already been done (that is the algorithms have been written) and I am looking for someone to clear the road

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    I am looking for a basic predictive model to predict the outcome of a Kickstarter project before it is uploaded. As it is a classification problem I am looking to implement algorithms like knn, naive Bayes and j48. Most of the work has already been done and I am looking for someone to clear the road blocks and finish the project. Please reach out to

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    ...nurturing 26-Salesforce integration 27-Smart content 28-Attribution reporting 29-A/B testing 30-Custom revenue reporting 31-Custom event reporting 32-Custom event triggers 33-Predictive lead scoring 34-Contacts reporting 35-Company reporting 36-Event-based segmentation 37-FSBOS Craigslist / Real State Buyer Leads / For Sale by Owners Leads 38-Mailing Leads

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    correlation and predictive analysis between to data sets

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    I need someone with great machine learning skills (especially in predictive analysis) to work with me on a project. We will both work on it while you provide guides to me to make it work.

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    ...Processing (buying and selling of content & products) -Advertisement placement, linking, and tracking with Affiliate marketing functionality from [login to view URL] -Predictive Autosearch -Visualizing Data with Bar Graph generation based on user assessments ********* To avoid spam, please respond with "GUIDETRUE" in the subject line or first word

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    The SaaS platform is currently using a basic matching algorithm. We are looking to deploy deep machine learning for: 1. Predictive recommendations 2. Better matching

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    ...take the first trunk goip all this on the server [login to view URL] the second task is: I have two servers vicidial, [login to view URL] that I use to survey/blaster with remote agents and [login to view URL] that I use for predictive dialing with normal agents. right now I transfer the affirmative calls from the survey 100.99 to the fiscal agents in 100.100 via PSTn

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    I have a small unbalanced dataset (attached [login to view URL]), although clean, without null values...The predictor variables are columns 1, 2, 3 ... 29, and the variable to predict is the "target" column. The project consists of building, from this dataset, a supervised predictive model, CLASSIFIER TYPE, with good metrics (accuracy, precision, recall, F1).

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    ...learning techniques at large scale with these technologies. Ability to program in Python (full stack), Java/Scala for purposes of model development, API designs, etc Prior experience preparing data for analysis, building predictive models on large scale platforms, and helping to drive innovation into the modeling process/offerings. Knowledge of working with

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    Currently using iot devices from monnit.com. Would like to get started in creating dashboards to display iot information for a production environment and for predictive maintenance. We currently have an Azure account and would like to get started using Azure Iot Hub and using PowerBI as the Dashboard. Looking to monitor things like part count, vibration

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    Currently using iot devices from monnit.com. Would like to get started in creating dashboards to display iot information for a production environment and for predictive maintenance. We currently have an Azure account and would like to get started using Azure Iot Hub and using PowerBI as the Dashboard. Looking to monitor things like part count, vibration

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    Hi, Need help with SAS Miner. I have the data I need to work upon. I just to develop a model for Predictive Analysis using SAS Miner along with a short report based on the same to explain the features in brief. Please apply in case you can do it. I need it in 48 hours from now.

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    Discuss the business problem(s) and the business analytics goal(s) that can address and achieve usin...problem(s) and the business analytics goal(s) that can address and achieve using IBM SPSS Modeler. Explain what a resource template is in IBM SPSS Text Analytics. Discuss how predictive modelling can be implemented with the categories created by you.

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    ...categorized based on requester's description. • Agent Intelligence must be able to “learn” from historical request patterns, allowing it to become increasingly accurate in its predictive recommendations. • Analytics must show requests number, the average time to resolve, number of request by category, number of requests by user, average number of requests

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    ...Adding Cloud control to all the machines (4) Fuel consumption and efficiency calculation, Power generation (Boiler and Generator) Predictive Maintenance and Statistics (Temperature and Vibration statistics for Boiler, Generator, Washing Machine, Hydro, Dryer) 2. Solution The solution aims to provide automation, data tracking and predictive maintenance

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    ...Cloud control to all the machines (4) Fuel consumption and efficiency calculation, Power generation (Boiler and Generator) Predictive Maintenance and Statistics (Temperature and Vibration statistics for Boiler, Generator, Washing Machine, Hydro, Dryer) 2. Solution The solution aims to provide automation, data tracking and predictive maintenance

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    About Us We merged multiple CDN providers into one single comprehensive platform so our automated, predictive, cost-effective, and security-centric AI platform can help deliver websites/applications across the network safer and faster while saving you time and money. We believe "Reliability", "Performance", and "Security" are very important tasks

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    Machine learning data analytics predictive modeling

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    ...identifying drawbacks from existing ones and rectifying it here 3.A new predictive model that could enhance life's by early detection of heart failures 4. Application of cognitive computing algorithms and show how best cognitive computing would yield better results in comparison with predictive modelling 5. Data storage must be done in cloud 6. Programming must

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    -I need someone to design and execute Nonlinear Model Predictive Control for a Nonholomic vehicle on MATLAB based on a mathematical bicycle model. -Of course this is including deducting an optimazation algorithm for the quadratic cost function. -Also Execute a path tracking algorithm by the NMPC to work on a car, so the NMPC is working, (assume there

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    I have a Human Resources data set, acquired from on-line that needs to be analyzed, using descriptive, predictive, and solutions based statistics. So you will need to be very comfortable with regression analysis, linear programming..etc.. and be able to understand the data, and create a great presentation You should have experience in: tableau, excel

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    I am looking for a expert who has knowledge of development of predictive mode for detecting article writer's emotions on politician

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    You will be implementing a framework that allows people to analyze and predict the prices of various classes of products. For instance, you may be tracking and analyzing the prices of various products on Amazon; the price of Bitcoin, or analyzing tweets about a particular hashtag.

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    Tutoring and help with machine learning algorithms and predictive models. At least 5 hours /week. Thanks!

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    Tutoring and help with predictive models and machine learning using python and sql. At least 5 hours/week. Thanks!

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    Help and tutoring in machine learning and building predictive models on hourly basis, at least 5 hours a week.

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    1. Cluster stocks based on the price momentum by generating association rules 2. Use the clusters or association rules to determine the price momentum pattern 3. Develop a predictive model using SVM

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    Need to determine patterns out of a dataset consisting of various parameters and drawing relevant conclusions out of it. Choice of technology stack R/Pyton/Tableau and similar.

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    I am looking to build predictive analytics based on sensor data. Looking for professionals with tensor flow python experience

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    This project would consist of looking at the psychometric utility of a number of measures, and determine their relative predictive utility. Finally, a short summary of results document or powerpoint would have to be generated. If you're interested, let me know, and also let me know what your hourly rate for this task would be.

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    Roles & Responsibilities: Should have 3+ years creating predictive models using advance machine learning techniques Should have an expert command of statistical analysis, algorithm development, and state- of-the-art, tools and methodologies for data science Should have expert command of SQL and R or Python as applied to data science with experience

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    ...for all manufacturing verticals including automotive, pharmaceuticals, machinery, oil and gas, electrical power generation, water - Smart Meters - Industrial Sensors - Predictive Maintenance - Water Management - Chiller and Air Flow Management - Supply Chain - Inventory Management - Shop Floor Management Experience in Smart Manufacturing, IoT

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    ...Task: Find the churn issue Build the model and suggest actions Data provided: Training model – dataset which includes features of SME customers in Jan 2016, as well as the info about whether or not they have churned by Mar 2016. The prices from 2015 for these customers. How: Use the trained model to “score” customers in the verification

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    Task: Find the churn issue Build the model and suggest actions Data provided: Training model – dataset which includes features of SME customers in Jan 2016, as well as the info about whether or not they have churned by Mar 2016. The prices from 2015 for these customers. How: Use the trained model to “score” customers in the verification

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    ...and so on. This paper uses machine learning algorithms to build the prediction model for houses. Here, machine learning algorithms such as logistic regression and support vector regression, Lasso Regression technique and Decision Tree are employed to build a predictive model. We have considered housing data of 3000 properties. Logistic Regression, SVM

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    Hello I need someone who can do model predictive control with Kalman filter and I have to do this to control the speed of induction motor. I need the simulink model, the entire system . the kalman filter is used to estimate mainly the rotor flux,I need to use the MPC to control thee velocity , the kalman filter is a secondary thing Kindly, check th...

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    For Ongoing Work. Looking for an experienced Developer. Knows Alteryx Data Management and Integration ETL process Data Segmentation and enrichment Predictive Analysis Tableau and other Analytic tools for interactive Dashboard development. SSO With Tableau Online [login to view URL]

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