forecasting problem to predict next 30 days data and perform EDA
₹600-1500 INR
Πληρώθηκε κατά την παράδοση
Dataset overview:
It contains 25000000 rows and 5 columns for 85 days from June 1
1990 to Aug 21 1990
Build (any algorithm) one deep learning & one machine learning model to predict
value of f1 & f2 for next 30 minutes.
Ταυτότητα Εργασίας: #36262624
Σχετικά με την εργασία
12 freelancers κάνουν προσφορές κατά μέσο όρο ₹3296 για αυτή τη δουλειά
⭐⭐⭐ Hi, My availability: Immediate. I read your project post of Python Developer to write froecast model of next 30 days. I am Python developer with skill sets in - Python, Django, Flask, FastAPI, Jupyter Notebook, S Περισσότερα
I am Machine Learning Engineer with four years of practice in, Python, Deep Learning and machine learning models, TensorFlow, Keras, scikit-learn, Pandas, image processing, and computer vision. I believe that my experi Περισσότερα
I am confident that my skills and experience would be an excellent fit for this project. Specifically, I have excellent problem-solving skills and the ability to perform well. Additionally, I have extensive knowledge o Περισσότερα
I am skilled in Machine Learning and Deep Learning field . I am confident to complete the project on ML and DL as per your requirements
Hello there! I am a skilled programmer and data entry specialist with a strong foundation in computer science and several completed courses from Coursera, related to my field, I have successfully completed various proj Περισσότερα
Hi sir I am data scientist i have experience with forecasting like time series prediction i have make alot of project about it if you have any problem about it contact me Thanks Regards Haroon khan
I am a MLSecOps Engineer. I will work on your problem not just offer with the description you have given but will also give a API based output as well as scalability to the project and check for all security vulnerabil Περισσότερα
I am a data scientist. I have experience with time series forecasting using statistical models (sarima, bayesian time series, prophet, TBATS), machine learning (XGboost, random forest), and deep learning models (LSTM, Περισσότερα
Already have experience in forecasting with ARIMA, Linear Regression and XGBoost. Worked on projects related to demand forecasting.