Knime jobs
The College of Arts and Sciences is a fast-growing entity at the University of Diploma Printing in Romanigstan. Within this College, the Department of Arts consists of twelve full-time faculty, six adjunct instructors, and approximately fifteen graduate teaching assistants. Many faculties are nationally and internationally renowned and are well-established professional a...Follow the steps in the CRISP method as described in the first lesson. Look for patterns in the data. Formulate hypotheses and try to prove or disprove them through experiments. Make sure you follow citation style and avoid plagiarizing other sources. Use charts to support your claims; do not provide screenshots of experiments. Explain in depth each chart/figure used. The software we are using is KNIME can you hel...
Making a datamining study with a dataset;•Selecting a datamining problem and finding the related data. It is useful if you find real lif...dataset;•Selecting a datamining problem and finding the related data. It is useful if you find real life data for comments and conclusions. If thereis problem of finding a real data set example data sets on Internet can be used. •Determining the subject of the datamining study.•Making the required cleaning and transformation on the data set. •Applying a datamining model. •No restriction for using a tool(Knime, Rapidminer, Pythonetc.)•At Project delivery a short description of the problem must be made and used methods and conclusions must be explained in a document of max 2 pages. The datamining model must be del...
...scraping, and manipulating big datasets - Expertise with NLP, building AI models, Chatbots (Manychat, Dialogflow and other open source platforms) -- Technical Skills of the Data Science Expert The right candidate will also be proficient and experienced with the following tools/programs: 1. Strong programming skills with querying languages: SQL, SAS, etc. 2. Experience with big data tools: Hadoop, Knime, MongoDB etc. 3. Experience with data processing & transformation tools such as DataBricks, NiFi etc. 4. Experience with data visualization tools: Tableau, Looker, Power BI etc. 5. Experience in programming languages like Python, R etc. C. Qualifications 1. Bachelor's or Master's degree in Engineering, Mathematics, Statistics, Computer Science, Information Syste...
I need to analyse some data with knime and panda
1. Find Open Datasets e.g. in Kaggle: 2. Prepare and present Data Analytics - Decision Support project. Possible structure: •Relevance •Business case/problem •Methods to solve problem •Data pre-processing issues •Forecasting model construction •Model performance metrics analysis •Improving of model accuracy •Deployment •Conclusion from 5 to 6 page
I want to do a statistical analysis based on variables obtained on an excel sheet. I prefer someone with experience using Knime. I want to learn what activities on off the ones on the spread sheet influence a sale.
For a given dataset I need to answer these questions: 1. How many objects are there in the table? 2. What is...What is the mean age represented in the dataset? 4. How many German residents have positive (greater than zero) capital gains? 5. What percentage of individuals earning more than $50,000 a year are female? 6. Which two numerical (integer) attributes have the strongest linear correlation? 7. How many rows have missing data? 8. For this question, you will need to research decision tree learning in KNIME. Using a decision tree trained on the dataset to predict income (you don’t need to worry about partitioning into training and validation data for this question), what is the first variable, other than income, to examine to determine if a given person earns more than $50...
Need someone to review a project and mentor if needed
1. Find Open Datasets e.g. in Kaggle: 2. Prepare and present Data Analytics - Decision Support project Structure: •Relevance •Business case/problem •Methods to solve problem •Data pre-processing issues •Forecasting model construction •Model performance metrics analysis •Improving of model accuracy •Deployment •Conclusion
Hi Albab Ahmad K., I noticed your profile and would like to offer you a small project - creating a simple word cloud in knime. Perhaps it leads to more work. I have data. Can you help - need it within 1 hour.
Need help processing data in knime
I need someone with experience in KNIME application to help me
Establish a model that uses Logistic regression to predict fixed deposit subscriptions.
Hi guys. My project is about analyse the data of a CSV file (not very big less then 6500 rows) and do some anticipations. THIS PROJECT MUST BE DONE IN KNIME Dataset Description Listed on Moodle is the historical data that covers sales from 2010-02-05 to 2012-11-01, in the file WalmartStoresales. Within this file you will find the following CSV headings: Store - the store number Date - the week of sales Weekly_Sales - sales for the given store Holiday_Flag - whether the week is a special holiday week 1 – Holiday week 0 – Non-holiday week Temperature - Temperature on the day of sale Fuel_Price - Cost of fuel in the region CPI – Prevailing consumer price index Unemployment - Prevailing unemployment rate Holiday Events: Super Bowl: 12-Feb-10, 11-Feb-11, 10-Feb-12, ...
Prefer Pentaho or KNIME Business Intelligence or knowage build , develop and integrate dashboard
Setting: The College of Arts and Sciences is a fast-growing entity at the University of Diploma Printing in Romanigstan. Within this College, the Department of Arts consists of twelve full-time faculty, six adjunct instructors, and approximately fifteen graduate teaching assistants. Many faculties are nationally and internationally renowned and are well-established professional artists and designers with numerous exhibitions, commissions, and awards to their credit.
KNIME based app for my article. contact me. needed before end of this week, publishing on Monday publication.
hello ı am studying universty in turkey, ı need your help , ı had project knime can you help me
i have implemented a keras autoencoder in knime and i am feeding it data with no anomalies yet its predicting some as fraud which is not correct i need someone to help me fix that and make sure it gives me 100% accuracy when the autoencoder is only fed data with no anomalies.
Required to create a Knime workflow and some data analytics on a small 3500 line data set. Import data into Knime 4.2 latest version. Identify the values of the attributes which can be applied including frequency, location and spread (e.g. value ranges of the attributes, frequency of values, distributions, medians, means, variances, percentiles) create tables for each of these and name the nodes to reflect the data set and application (e.g. Price (attribute) frequency) Apply clustering to values and create charts related to the clustering may need to 'temporarily' recode attributes to numeric or from numeric to nominal. show node workflow for this. Apply binning to on attribute apply both equi-width binning and. equi-depth binning. create separate node flows...
Project study using 2 predictive models and Knime to study credit card default behaviour
Hi Ioan-Tudor S., I saw your apply for a project which is given final project for us about Knime. If you keep that project still, we want to buy it. Its due date tomorrow midnight. Please reply back immediately. Good night.
The objective of the project is to develop two predictive models in Knime for an SME lending platform based on the current available information
I need to connect the moodle database, with knime. For this it is necessary to create a node with a form, from there it would be to bring the data to treat them. The website to do the tests would be:
online database and website where data is searched. short detail; There should be an online database where the data prepared with knime every day will be transferred (the old data is automatically deleted, new data is added) and the data in the online database should be accessible via a visual user interface on the website. The web interface should present the data as a visual search, and should be able to open a detail page for each data. At the same time, detailed filtering should be possible. Filters should be of the type that can be reproduced according to the words written by the user, not standard. category pages, country pages should be included in the website. estimated data 30 million records (text only - as text) for example;
To build a decision tree that predicts shopping intention from features derived from interactions with an e-commerce site. The target variable is REVENUE which takes on values TRUE or FALSE. The positive class is TRUE (indicating that the user makes a purchase). Using KNIME.
In the attached file, you will find the transportation data that includes bus lines and their stops (route, routeid, lineid, line name, stop id, stop name, stop sequence, etc.) I want you to, do a cluster analysis for this data using KNIME only.. you may consider stops in a route for clustering. what to return? * 4+ page report in PDF including. - The whole knime Workflow in Landscape format on a single page - Screenshots for configuration of nodes and your reasoning for choosing these nodes and their job in the workflow. * Your knime workflow as a single file. Please use data as is, Do not alter the data. Test will be based on this data.
1. Find Open Datasets e.g. in Kaggle: 2. Prepare and present Data Analytics - Decision Support project. Possible structure: •Relevance •Business case/problem •Methods to solve problem •Data pre-processing issues •Forecasting model construction •Model performance metrics analysis •Improving of model accuracy •Deployment •Conclusion from 5 to 6 page
I need some help with an error msg that I can’t solve. (I am a beginner with KNIME)
Looking for a professional to create videos on Knime or BI or Google cloud. The videos should be created on different topics and subtopics, for each module. The targeted length of each video should be around 2-12 minutes Please only apply if you're up for the challenge of recording videos of your technical skills. If you have already had a recorded video link please attach during your response Reference videos:
Task 1 Read data set (attached) : exclude rows where marital-status is missing. On the remaining rows: extract rows where marital-status = "Never-married" extract rows where marital-status = "Divorced" AND 20 <= age <= 40 AND workclass starts with "S" remove column "marital-status keep only column "marital-status" keep only String columns using a Column Filter node and then only column "marital-status" using a Reference Column Filter node Task2 Read the dataset. () • Using the Rule Engine node, create a new column “currency” with value “USD” for the orders from the USA, and “EUR” for the orders from Germany. • Using the Rule Engine node, create a new column “co...
Hi Need some one who is good with Tableau and Network Analysis , KNIME to work on small project . The deadline is 29th march, so apply to get started asap Thanks for reading
You need to be a KNIME expert and be able to help me interpret my Neural Network Results. This project only pays 12 USD; you don't have to build anything.
the task involves the use of Knime software. theres going to be 3 tasks.
Senior Data Scientist Python, R, Knime (or similar)), databases (SQL/NoSQL). Experience in Keras, TensorFlow and/or PyTorch. Natural language processing (NLP), ideally with respect to transfer learning. Create clear visualizations in relevant packages/software (e.g. ggplot, tableau, Microsoft BI, seaborn). Experience in the development of APIs in microservices for a variety of platform requirements. Azure Cloud experience Experience of cloud technologies, ideally AWS and Azure Linux & Unix administration experience Basic experience of databases (Oracle, MySQL or MSSQL), DNS and monitoring concepts Data cleansing and data transformation experience Experience assisting infrastructure management with capacity planning Experience pushing data to MS SQL and Azure storage tables Exper...
A retail company sends out a lot of promotions with different kinds of offers and discounts to customers. Each campaign is composed of several different kinds of elements: A type of campaign (often also one or several discount levels), addons, and requirements. Every campaign must have exactly one type but can have zero or more addons or requirements. Below is a typical example of a campaign: 40% on first item + free delivery if above 800 There are 7 different kinds of campaign types: check, first item, first + second item, combinations, all order, ladder, three items for the price of two. Each campaign can also contain free addons: a free or payed gift, shipping, express shipping, return. The requirements put restraints on which kind of items that will warrant discounts: items on sale, ...
Configure a Knime project, in order to create a segmentation model into that platform.
KNIME Machine Learning 1. You will be a KNIME specialist 2. You will know Keras and TensorFlow 3. You will know how to use Keras in knime 4. I want to build an example RNN using Keras in KNIME 5. Will provide sample data for right candidate This project pays 20USD. Thanks, Leon
Hello I have some project in KNIME and it also needs to be implemented in Python. I have already completed the coding and the practical/ implementation part. But I need some assistance to write a detailed report about the same. Let me know if you have worked on KNIME and Python.
Hello I have some project in KNIME and it also needs to be implemented in Python. I have already completed the coding and the practical/ implementation part. But I need some assistance to write a detailed report about the same. Let me know if you have worked on KNIME and Python.
Hello I have some project in KNIME and it also needs to be implemented in Python. I have already completed the coding and the practical/ implementation part. But I need some assistance to write a detailed report about the same. Let me know if you have worked on KNIME and Python.
