10 Algorithms Machine Learning Engineers Need to Know
Want to know the most commonly used algorithms which can be applied to any data issue? Here's the list.
Good knowledge of understanding complex stored procedures Should have experience related to US insurance industry Should be able to understand source and target systems and create data mapping document Perform data reconciliation between source and target systems ETL/SSIS knowledge is a must
rounding total values including and excluding tax, Need advise on what approach to follow. We have 2 items: Total payable value: Item 1 costs: 4.29 Item 2 costs: 12 Tax: For item 1 is: 5% For item 2 is: 12.5% Ex Vat (calculated from Total value): Item 1: 4.0857 Item 2: 10.6667 Now the calculations will go: Item 1: 4.0857 * 5% = 0.204285 (rounded to 2 digits decimal - 0.20) Item 2: 10.6667 * 12.5% = 1.3333375 (rounded to 2 digits decimal - 1.33) Total for basket = 16.29 (as ex vat value is calculated from total value) Total from + taxes: 4.0857 + 0.204285 + 10.6667 + 1.3333375 = 4.289985 + 12.0000375 = 16.2900225 (rounded to 2 digits: 16.29) If I loose the precision on calcs (for example I calculate tax value from 2 digit decimal number, ex 4.09 * 5%), it will create chain reaction which w...
Need a data scientist who can build a forecasting project in matlab for electricity prices and loads using naive methods and autoregressive.
Job brief Urgent need of a data analyst / data scientist who can identify the key insights and performance marketing data, analyze the statistics, interpret the results, and help the company understand the impact of their strategies. Job Responsibilities: Analyzing data to identify trends Setting up processes and systems to make working with data more efficient Researching new ways to make use of data Producing reports and charts communicating trends within data to non-specialists Presenting information generated from data to clients and managers. Required skills: Problem-solving skills Accuracy and attention to detail Knowledge of data science Performance media metrics Knowledge of data visualization and data analysis Proficiency in statistics and statistical packages like Advanced E...
To improve and develop a plan for software category / procurement plan based on an already drafted planning document. I would like someone with a procurement background and experience in category planning
Hello I need assistance from a Biochemical and Molecular Expert Writer to help me in writing the sections of results and discussion. The writer shall be a specialist in research writing skills.
I need a Data Modeller to do Fact and Dimension Break.
Hi, I'm looking for a data analyst/scientist to create detailed google data studio reports for SEO, PPC, Paid Social and Display, with a combined view for all channels and an overview of SEM performance. This is an urgent task requiring fairly immediate start. We require you to have example dashboards for the above, which we can tweak and evolve to meet our needs.
Before applying please make sure you are comfortable with Postgre SQL as that is mandatory for this assignment. It takes 90 mins, and if you finish early you will get the full payment. If this assignment goes well, I have a project for 4 months with 10 hours/day. If the assignment is done well then the candidate will get access to the project. The payrate is $12-15/hour, and will be $15/hour if selected for the project. After 1 month of work, the rate will be increased to $20/hr. For this project, we will have to connect via MS Teams for the test and use screen sharing. If you open an account, you can download a free version of MS Teams. I want to review the work being performed as it is being done. For the assignment, I am hoping the candidate can: • Catch all edge cases and aim ...
I have sas project an expert needed data science expert
Professional data analyst need for this task
Hi Experts, I have a python code with a couple of functions. I urgently need the following: 1.) Combine relevant functions in the code to make a final dataframe. Function_final(Historical_Data) = final_df 2.) Create a similar funtion to transform a future data to contain same columns as X_test Function_upcoming(upcoming_data) = X_test_new 3.) Apply an existing highest accuracy model to predict X_test_new N/B: I already have a code that does the following: 1.) Download historical data 2.) Functions that transform the historical data to final data by cleaning up 3.) Prediction models 4.) Upcoming data. So the major task here is to predict upcoming data
Want to know the most commonly used algorithms which can be applied to any data issue? Here's the list.
Pichart, a full-time employee, experiences income stability with the help of his part-time freelancing career
This is a comprehensive list of hot programming trends, and those that are declining in their popularity.