Xlminer logistic regressionpekerjaan

Assume you work in the CFO’s office of a new startup retail company, supporting the marketing department. The company is located only in Colorado now. The company is looking to expand into 2 new states located in the intermountain region of the U.S. This includes the states of Arizona, Idaho, Montana, Nevada, New Mexico. The 2 states for the expansion must be unique across key characteristics. After 2 years, you plan to expand nationally. The first step of the decision is to conduct an analysis of each state. The first analysis is to create two separate, 2-year forecasts for 2 variables you feel that are key to analyze the future of each state. The forecasts for each variable should be created using 2 distinct methods. One of the variables should be GDP. You choose the 2nd var...

Now my company planning to build a phone APP info below as my company type is Logistics company. This App will have two platform one for customer to monitor there goods status and can comment to as if the goods stay longer then estimated time, one more for company staff to monitor, update info and we can download the hold report from each t...phone APP info below as my company type is Logistics company. This App will have two platform one for customer to monitor there goods status and can comment to as if the goods stay longer then estimated time, one more for company staff to monitor, update info and we can download the hold report from each transection and all transection. Anyway do you have any sample platform relating to the logistic tracking and food express delivery for our...

I need help further analyzing some data with R using SLR/MLR modeling. Details of the project are attached below and the data is in

Machine Learning development with python using multiple frameworks(Django, Flask) and libraries (TensorFlow, Scikit-Learn, OpenCV, NLTK). Programming Language Python, R, SQL, Java, C, JavaScript Key Skills ● Software Development ● Machine Learning ● Deep Learning ● Predictive Analysis ● Data Visu...Analysis ● Data Visualisation ● Statistical Modelling ● Data Analytics ● Data Mining ● Quantitative analysis ● Model Development ● Cloud Computing TOOLS: Flask, Django, AWS, Google Cloud, MySQL, PostgreSQL, Airflow, Tableau, Apache Spark Deep Learning :Keras, NLTK, OpenCV Data Mining NumPy, Pandas, Sklearn, SQL. Statistics/Machine Learning Statistical Analysis, Hypothesis Testing, Linear/Logistic Regression, Clustering, Classification. Data Visualisation Tableau, Seaborn, Matplotl...

Need someone good expert in statistic Regression and Correlation, Chi-Square Test of Independence, Chi-Square Test: Hypothesis Tests for Qualitative Data, Linear Regression

Need to develop a plot to help communicate your model of what predicts strikes in the NY Mets 2021 Statcast data set. Develop a plot to help communicate your model of what predicts strikes in the NY Mets 2021 Statcast data set. Visualizing regression results can be difficult---some options you can try include: a series of pie or bar charts expressing conditional probabilities, a coefficient or "ladder" plot (there are R packages that will get you started, such as `arm`), using `geom_smooth()` with a method that works for logistic regression... Give it a try! Make a PDF (importing a PNG into Word may be easiest, or from RMarkdown if you are using RStudio) that includes your image and a short caption to help interpret your figure. Follow the "glamour of ...

Assume you work in the CFO’s office of a new startup retail company, supporting the marketing department. The company is located only in Colorado now. The company is looking to expand into 2 new states located in the intermountain region of the U.S. This includes the states of Arizona, Idaho, Montana, Nevada, New Mexico. The 2 states for the expansion must be unique across key characteristics. After 2 years, you plan to expand nationally. The first step of the decision is to conduct an analysis of each state. The first analysis is to create two separate, 2-year forecasts for 2 variables you feel that are key to analyze the future of each state. The forecasts for each variable should be created using 2 distinct methods. One of the variables should be GDP. You choose the 2nd var...

I have a short regression task with Python . Please bid if you can help within some hours

Dear Vladimir, we need your help to program our Access frontend of the MySql database supporting our business processes. We finished master data maintenance (products, customers, users, stock management...), order processing, inventory and logistic. Table design for sales, service and to-dos is finished. From the technical point of view, we are able to program it on our own. But it is too much time-consuming for us. If you're interested, I will send more information.

A linear regression code is given which is executable on jupyter notebook. We need to execute the same using Hadoop cluster and show the results.

Hello, We are a logistic company looking for an agency to complete our website Our site : We wish to match and 1. Add 4 new services 2. Edit the landing page to match the new services 3. Make the rate quote option work 4. Add a sign up and log in button (we already have a system integrated ) 5. Fix any website issues and make it complete 6. Edit the blog section 7. Wordpress

I want someone with a good knowledge of R to teach me on this project with this objective: The principal aim of this study is to build ML models that can detect and so help to prevent fraudulent transactions from the given dataset using machine learning techniques such as Logistic Regression, Decision Tree, Neural Network and Random Forest. Another major objective of this study is to explore the approaches employed by e-commerce companies regarding the management and detection of credit card fraud using machine learning algorithms.

Need website for a logistic company

everything is in the attached folder

Just go through the article named Nov3(1).pdf. In this article there are tables no. 2,3 and 4 . We have to prepare similar tables from our data but we have to make it separate for males and females. Tables for the females quartiles of serum vitamin d concentration i a...pdf. In this article there are tables no. 2,3 and 4 . We have to prepare similar tables from our data but we have to make it separate for males and females. Tables for the females quartiles of serum vitamin d concentration i am sending in the word file that you can check. Similarly we have to do the same for the quartiles of parathyroid hormone for males and females separately. Multinomial regression analysis has to be done for the for the quartiles of vitamin d and parathyroid hormone separately for both males an...

Hello, I need Wordpress website for my Transportation and logistic company. Mobile and Desktop friendly. We will have: 1. Homepage 2. Services 2.1 Transport 2.2 Express Transport 2.3 Gefahrgut 2.4 xxxx 2.5 yyy 3. About us 4. Career 5. Contact Please provide also some designs.

...Unitest/Pytest/Robot framework. Developed test automation framework scripts using Python Selenium WebDriver, Built python framework to transform Datasets and Data tables into HTTP-serializable JSON strings. Implemented the test cases using Selenium Web Driver with JAVA Framework TestNG. Designed, modified, developed and written test scripts, test plans. Review Test Cases and Bug Reports. Performed Regression testing, smoke testing for each build and re-testing on the bugs which are fixed in the previous and current sprint. Behavior-Driven Development (BDD) implementation with Cucumber gherkin and Jenkins Continuous Integration. Used CloudWatch for monitoring AWS cloud resources and the applications that deployed on AWS by creating a new alarm, enabling notification service. Exper...

Things to look out for in this project: - Proven records of managing all types of google ads for services base site (none physical product) target English Speaking Countries - Can provide a clear structure of roadmap in running ad campaigns, setting target goals, and action of plan on how to achieve them. - Proven records of SEO optimization, including conversion tracking in GA (both UA and GA4 type), GTM setting = About the project = - You'll be working on improving the performance of existing search campaigns and expend on other campaigns with a goal-oriented ROI based results - Improve on SEO results by working closely with our web dev - Set whitehat retargeting strategies and improve on the sales funnel - Great communication skills and teamwork Happy applying!

I need some help with business statistics. Probabilities predictive analysis discrete variables sampling distributions hypothesis testing regressions libnear regression analysis non parametric methods decision theory I need someone who has a background in teaching me this who is business savvy and math savvy Thank you

we are a small trading company ,we can help you with your business with ASIA in the garment field,decoration field,accesory field,we have more than 15 years experience in the trading and logistic business with competitive prices .

My project is pretty open-ended, I need to find a dataset, clean it, and perform an analysis on it. I am thinking of doing a linear regression, k-means clustering algorithm, and possibly a logistic regression for classification. If you have experience with these things with Python that would be perfect. My request: A Jupyter notebook that processes the dataset I choose and implements an analysis to address the questions I am asking.

...140k monthly visitors and have happy customers in around 100 countries. MLSC mission is simple - to help Data Scientists, ML Devs and Dat Analysts to never fail their ML and DS interview again. Right now we're looking for a person who would like to join our team to find, refine, check and curate machine learning ad data science interview questions for a variety of topics including Big Data, Regression, Tensorflow, Pandas, Clustering (K Means and other), Anomaly Detection, R, Python, Neural Networks, Data Mining... you name it! Working for MLSC is a great way to convert your knowledge and curiosity into real $$$ and learn new ML and DS concepts along the way. So what we are looking for: * Be passioned about Machine Learning and development, ideally, you should have some h...

You should clean the data, remove outliers and then run the algorithms you have learned on the data. For numeric attributes, you can calculate min, max, average, standard deviation, and covariance/correlation. If the attributes are nominal, then you can calculate the frequency of each label. If the attributes are of mixed (numeric and nominal) type, then you can conver...nominal, then you can calculate the frequency of each label. If the attributes are of mixed (numeric and nominal) type, then you can convert numeric to nominal using filters or using some other meaningful translations (for example, convert numbers to ranges like “low”, “medium”, and “high”). You can then apply different methods for classification, clustering, outlier detection, data mini...

...Colleges-basketball contains the coaches salaries and revenues foor college basketball at sleected schools in a recent year. You can plan to develop a regression model to redict a coach’s salary based on revenue. 1. Assuming a linear relationship, use the east squares method to compute the regression coefficients b0 and b1. 2. Interpret the meaning of the Y intercept, b0, and the slope, b1, in this problem 3. Use the prediction line developed in (a)to predict the coach’s salary for a school that has revenue of $7 million. 4. Compute the coefficient of determination r^2, and interpret its meaning 5. Perform a residual analysis on your results and evaluate the regression assumptions 6. At .05 level signifigance, is there evidence of a linear relations...

I need help regarding logistic regression technique

major it should focus on 3 life diseases. leaf smut, brown spot, leaf blight

Project Description: I have a CSV file ...data, crime rates, income levels. Data preparation such as removing erroneous values, preparing flag variables, z-standardization, min-max standardization, prevent over-fitting using proper techniques (i.e. L-regulation, cross-validation, etc.), remove correlated variables, calculate accuracy of models to improve and obtain the best model, Explore different models to see which is best (i.e. Log Regression, MLP, KNN, Decision Trees, etc.) Deliverables: 1. One predictive model for each target variable named above which has been tested and optimized to the best accuracy and not over-fitted. 2. All code provided so that I can use it in my applications. Request Jupyter Notebook format. 3. 90 days technical support for questions about the code o...

Hello, everyone. The ML project covers different bits from supervised learning Using Least Squares to Supervised Learning using Logistic Regression, to unsupervised learning using PCA. Will discuss with best candidates. Thanks.

Need an expert data analyst to train and revise with on excel, normal distribution, binomial distribution, ADJ R-Square, regression analyses, moving average, seasonalities, calculating a measure of error of the accuracy of a model:rmse, etc.

Request details The ML project covers different bits from supervised learning Using Least Squares to Supervised Learning using Logistic Regression, to unsupervised learning using PCA. Deliverables Finish all the sections on Matlab.

This is a 10-page data analytics research paper. The project involves forming a hypothesis, finding a data set (in Excel form), and applying supervised or unsupervised data analytics techniques such as clustering or linear regression to analyze the data. An example would be "There is a direct correlation between level of education and base salary for industry X." The paper will introduce the problem and background, describe the data source and technique applied, give results and interpretation of results, and finish with any limitations, challenges and summary of the work. Some supporting Excel graphs, figures, or outputs are also required.

I am looking for a developer who can develop for me simple easy, friendly logistic/courier website and IOS& android apps. The application will same functionality like Aramex or tciexpress companies. Thanks

...analyzing stock performance and risk Learn how to use historical company returns to estimate beta and compute cost of equity Gain working knowledge of the CAPM Learn how to handle data and run regressions in a spreadsheet (Excel or Google Sheets) Learn to work collaboratively in an online environment Perform visual and data analysis using visualization tools, and spreadsheets, and perform linear regression analysis on financial data Read the following PowerPoint slides in the Group Project Folder: Beta Visualization CAPM Equity Valuation Market and Firm-Specific Risk Industry Analysis Summarize (using your own words) each sector of your group’s choice by first taking a look at the detailed industry sector primer at the following link:

...looking to build IOS and Android for my grocery shop (wholesale/retail). Now we are running grocery store but in traditional way. we have warehouse to store all the goods. and customer come to our warehouse to buy it. (wholesale/retail). so now we want to have an app to make our customer be able to view all of our stuff online and also could place order and pay online. we have cooperation with local logistic company. and we will contact that company to send the goods to our customer. we also want our app to allow another people to create a shop on it too. to make it one stop shopping place. to attract more user. and I check around to get some ideas about the app and my friend introduced one business which they are specialize in clothing only but now they are also selling grocery ...

Hi, I am looking for an expert who is really expert in above algorithms. The dataset already imported. I have working code, but I want to implement following algorithms. 1- KNN 2- SVM 3- LSTM 4- Regression after implementation, I also want to implement descriptive Statistics of the dataset, make graph of DS, then, I want to make epoch visualization of each model. then compare the results of each model using precession, TF, TP, Precession etc parameters. If you are expert ping me. Thanks

Need some one have idea about Gretl and could analize data very well high under standing of this topics Linear Regression 1 and 2 Hypotheses Testing Classical Assumptions and Multi-collinearity Heteroscedasticity Auto-correlation Structural Break/Dummy Variable ARMA/ARIMA Stationarity Co-integration

For this project we will explore the NYC subway dataset to achieve the following goals : 1. Analyze if more people ride the subway when it is raining versus when it is not raining. 2. Predict the number of entries using linear regression 3. Explore the dataset using data visualization

I need a website(in php) and Android (in java) application. For ecommerce with good designed front end. That includes logistic and payment.

Need tutorial assistance in the following areas: - confidence interval & hypothesis testing - struger vs Scott’s method (bin size & random sample generation) - chi square & cramers V - binom dist & std - regression analysis (naive Bayes) - dummy variables

• Pre-Launch mobile device testing, Handset Testing ,Mobile chipset Testing, and Proto type models. • Filedtesting,Sanity testing, Feature testing, Functional testing, System testing, Device Flashing, Compatibility testing, Retesting, Regression Testing, Performance testing, Load testing, Stress testing, Mobility and Stationary testing of 2G/3G/ 4G LTE smartphones in mobile handsets in India and Abroad. • Device acquisition, flashing on latest SW built, performing stationary, mobility testing, Network Testing. • UI Testing, Integration Testing, Regression Testing, Network Testing, 2G/3G/4G/LTE Testing. • Log capturing on logging tools like QxDM, ELT, Wireshark, ADB, ODL. • Network related protocol testing on different national operators. • P...

Looking for a website built on click gunnels. description below utilize following website as an example of the 1st/home page: Home page 1st contact email and phone number Header: home About us Dispatch service Company name: Kenkade logistic services “We take the load off” "Our Services" rate negotiation Trip planning Paperwork & invoicing 24/7 support Credit checks Roadside assistance support Health benefits “Learn more” button under each service About us  Contact us form Include phone number Book appointment, 2nd page Direct page from 1st page buttons Calendly custom script Pop up menu pop up when trying to exit 1st page or second page Form fill Name Email Phone number “Even point breakdown do...

...recommendation will be presented along with risk analysis and profit. Case: We have different warehouses at three different locations. Norway Sweden Finland *Denmark (2022) We need to analyse that, what benefit our business will get If we have one central warehouse in Norway instead of individual warehouses at other three location. What are the gains. How this effect our supply chain, logistic and distribution channel. How much our business will save in terms of money, throughput and how this will optimize our current value chain with in supply chain and logistics. Define key performance indicators, advantages and disadvantages. Main focus is the profitability in both approaches. Having one central warehouse will effect ESG and sustainability by having less and effectiv...

The theories include Baye's rule, Descriptive analysis, Linear Regression and Logistic regression and cross validation. It's basic so there is not much coding needed

We, S.E.G. ( Schweizerische Einkaufsgesellschaft AG ) are a innovative company in operating in the Retail Building Supply Industry. Our focus is on paints and accessories. We are a 100% B2B business, selling only to professional painting companies. Check us out here: We have a team of 4 onsight employees located in Switzerland. They are responsible for Sales and warehouse logistic. Right now we are finding ourselves on a rapid growth curve due to the introduction of innovative products and services. Our company is growing and so does our team. We are looking for a new team member who will fill the role of Virtual Assistant. If you want it, this role could be yours for many years to come. What skills should our ideal team member bring along: Good German (written and spoken)

...nuances. We achieve this through robustness of our human power and resources. Moreover, it provides us capacity to attend thousands and thousands of clients each day. Our partners’ B2B communication platforms are managed successfully due to our high technical resources. We give assurance of a complete digital electronic exchange of all transactions between our clients, suppliers, vendors and logistic providers, etc. Job Description Abstract – We are looking for a developer to build software/product using languages and technologies of the .NET framework. You will create applications from scratch, configure existing features/modules and provide user support. Participate in transitioning the designs to the developers, code reviews and transitions of the application o...

I need a multivariate regression analysis done on the dataset. It should be done using Jupiter notebook (python) and follow all the criteria.

...Many studies have been conducted to describe the relationship between the trade activity(volume) and the price change. Ask (Sell) and Bid (Buy) orders on the border book might signal the direction of market movement. To model the possible pattern between the order imbalance (between ask and bid sides) and price change, we will build new predictors and check the performance of multiple linear regression in paper trading (backtesting with historical data). In this project, you will finish 4 tasks independently. It is not a copy-and-paste project. But if you can complete this project by yourself, it shows that you have passed the entry-level as a data analyst. Data Totally we have 10 days' data Task 1 - Prepare the Train and Test (10%) Please use the first 7 days' data ...

I need a business plan writer for my logistic company

Develop a linear regression model.

Hi Nawal E., I would like to offer you my project if you want it. It's an project in me know your thoughts on it: The data set consists of 100 observations and 3 variables. Make a numerical and graphical summary of the data Fit a certain model Write down the equation of the fitted regression line of model Do prediction Test hypothesis Plot fitted regression lines Would you be interested?