Prediction
$750-1500 USD
Paid on delivery
I have time series data that I want to use to predict future values. I can provide the data in any format like csv, csr, arff or any format. I have a limited ML experience working with Microsoft ML, Weka & XGBoost but I need an expert to be to achieve better than I managed to achieve with my limited time and expertise. Accuracy higher than 70%
I'm a software developer with experience in C++, C#, Java, Python and others. So all I need is professional expertise for the data model and the algorithm and parameters. The data is simple, it's time and some value per second running all the time. so the data is logged and collected as we go. So we have historical data for past many years. We can work together on this.
Project ID: #11681386
About the project
19 freelancers are bidding on average $1069 for this job
We can build an ARIMA model. We are a team of Data Scientists specialised in machine learning and big data. We are based in Bangalore.
Hello, my name is Artsiom. I understand project goal so I need your data sets and some time to analyse them. It needs to calculate distribution law of data sets variable to predict future means. For this purpose I'm More
Hello. I work as a financial analyst and constantly predict time series by various methods of machine learning. We could work together on your project
I have experienced to model time series data and have successfully predicted electricity consumption.
I am an expert in data mining and predictive modeling. I have a PhD in Physics and I have extensive experience in machine learning applications and complex time series analysis and mining. I work with R, Python, SQL, E More
I can help with your modeling. I develop python using the Anaconda package, which bundles the various data analytics and ML tools I can take your data and apply it to various ML algorithms
Hello! I'm a friendly guy with a passion for Machine Learning. My strong points are Machine Learning includes data preprocessing, hyper-parameter turning and Python (Sklearn, Pandas, NumPy) etc.
Hello, I am able to understand your problem as you are having a large data set which is in seconds with values. So, as mentioned dataset is of historical years which makes the data set of value per second on large scal More
