# Poisson regression arima jobs

I need some help to improve an R script related to keras library. The aims are to prevent over-fitting and perform sensitivity analysis of variables for **regression** purpose using neural network. The references can be found here ([login to view URL]) and
(https://rdrr

We need an experie...Seaborn, NLTK, Scipy, Sci-kit learn,
• Frameworks: Pytorch, Tensorflow
• Tools: PyCharm, Anaconda
• Machine Learning Algorithms: Decision Trees, Random Forest, Linear **Regression** etc.
• Exposure to Deep Learning Algorithms
Please apply only if you have good knowledge and practical experience in above mentioned skills.

...values, conversion of the data into normal distributions by not removing the values then shortlisting of variables by complete EDA process utilizing 2 methods Multiple linear **regression** and Neural network technique. Compare both models to show which one is performing better. This project should be using R-programming.
I'm providing emails on the previous

Hello, Are you familiar with classification using machine learning.
with this project, I actually did it using sklearn but i... I actually did it using sklearn but is there any way you can help edit my code so it works without sklearn.
did mostly everything just don't know how to apply logistic **regression** without sklearn
If you know how, Please bid.

Please make sure you READ and are an expert in the fields below: (comment "READ" in proposal)
- **Regression** and Correlation
- Probability, Distributions & Sampling Distributions
- Measuring Variation
- Analysis of charts
- Measure of variability
**** My budget is 25$ however I only need an hour and a half of your time! ****

Dear,
I am working on...variables. I have tried to model using **regression**, but heteroscedasticity was detected on residual plot ( as shown in the attached residual plot).
Therefore, I need someone whose expert in dealing with **regression** modeling to adjust and resolve the heteroscedasticity error by determining either weighted **regression**.
Thank you,

So we wanted to develop a android based app like Dunzo . so we want to develop the app in 2 months time period with full system , **regression** , sanity and user acceptance testing done.
So we are ready to hire 4-6 developers . So once Android based app is released to the market then we will be needing a IOS based [login to view URL] here we will be having our own

...using structTS or any other ready package for time series models. I want to find the forecast error using the kalman filter and smoother and take these as an input for a **regression** that i want to run. Bellow you can see the code for the kalman filter that i have already wrote but I don't know how to initialize the variances of the state and the observation

Task here is to implement procedure which is a logistic **regression** classifer using gradient ascent.

Data Scientist needed to help on various analytics / machine projects in eCommerce field.
Requirements:
- Machine Learning algorithms / methodologies (e.g. linear **regression**, etc.)
- Create a deployable model in Python
- Proficient in Python
- SQL
- RDBMS
- Top notch communication skill
- Be willing to sign an NDA
The project will be discussed over

I a...on prediction
3 articles used Fuzzy optimisation Model for prediction
3 articles used ANFIS Model for prediction
3 articles used ANN Model for prediction
3 articles used **regression** Model for prediction
3 articles used Gaussian Model for prediction
3 articles used Hidden Markov Model for prediction
discussing the method used, input, output, etc

I ...on prediction
3 articles used Fuzzy optimisation Model for prediction
3 articles used ANFIS Model for prediction
3 articles used ANN Model for prediction
3 articles used **regression** Model for prediction
3 articles used Gaussian Model for prediction
3 articles used Hidden Markov Model for prediction
discussing the method used, input, output, etc

Predict stock price using time series analysis and machine learning algorithms ( ie. - Linear **Regression**, Logistic **Regression**, Decision Trees, Ensemble Models, Random Forest, XGBoost, Neural Network, **ARIMA**, LSTM )
We need 1 week of the forecast of any stock (for the students who is learning to trade) For example - the current date is 1st of August