Predict pagerankKazi

...System - Using Deep Learning / Pattern Recognition - You must design all GUI and Strategy that can be Real Prediction System - Winning must more than 80% - 90% (can except the low percent game) - Training menu (to record the playing shoes / insert to database) - All shoes may start on anytime (during game, starting game, ending game) - Having Pattern Recognition system that recorded from past - Predict the game with percentage - Can be calculate / record the card/statistic during play. baccarat payouts, baccarat secret pattern, baccarat pattern strategy, live baccarat shoe results, baccarat advantage, learning baccarat pattern, baccarat basics, baccarat math, using windows media player inside java, using windows media player java, using lastfm flash player, extract google results...

...System - Using Deep Learning / Pattern Recognition - You must design all GUI and Strategy that can be Real Prediction System - Winning must more than 80% - 90% (can except the low percent game) - Training menu (to record the playing shoes / insert to database) - All shoes may start on anytime (during game, starting game, ending game) - Having Pattern Recognition system that recorded from past - Predict the game with percentage - Can be calculate / record the card/statistic during play. baccarat payouts, baccarat secret pattern, baccarat pattern strategy, live baccarat shoe results, baccarat advantage, learning baccarat pattern, baccarat basics, baccarat math, using windows media player inside java, using windows media player java, using lastfm flash player, extract google results...

Need to create an inverse analysis program to determine the chemical composition of a steel grade for a given tensile strength. For example, regression equation y=ax1+bx2+cx3+dx4+e. Now, for a given 'y', predict the value of x1, x2, x3, x4.

...System - Using Deep Learning / Pattern Recognition - You must design all GUI and Strategy that can be Real Prediction System - Winning must more than 80% - 90% (can except the low percent game) - Training menu (to record the playing shoes / insert to database) - All shoes may start on anytime (during game, starting game, ending game) - Having Pattern Recognition system that recorded from past - Predict the game with percentage - Can be calculate / record the card/statistic during play. baccarat payouts, baccarat secret pattern, baccarat pattern strategy, live baccarat shoe results, baccarat advantage, learning baccarat pattern, baccarat basics, baccarat math, using windows media player inside java, using windows media player java, using lastfm flash player, extract google results...

Here are some numbers collected from roulette. We want to see if there are any patterns or abnormally in the numbers. Your task is to find a way to predict the next number by predicting which numbers are likely to repeat again. - Find the pattern in the data - Find which numbers are likely to repeat within the next 20 games. Data is attached as in array in a text file.

Submit R code where the following procedures are clearly identified: 1. Normalize the feature variable x1 2. Calculate the value of the objective function `(β0, β1). 3. Choose a value of the learning rate η (you should try different values). 4. Initialize the parameter value and calculate the gradient ∇`(β0, β1). 5. Update the parameter value...of the learning rate η (you should try different values). 4. Initialize the parameter value and calculate the gradient ∇`(β0, β1). 5. Update the parameter value. 6. Check whether gradient ascent has converged. Here, it is much better to look at the convergence of the values of `(β0, β1) than the convergence of the parameters themselves. 7. Complete the implementation of gradient asc...

You will analyze data from a CSV that I will provide. The data is clean and ready for analysis. We need to group, parse, predict, analyze, merge, etc... We want to find meaning behind it and project results.

...extract actionable insights from the historical match data and make strategic changes to make India win. Primary objective is to create Machine Learning models which correctly predicts a win for the Indian Cricket Team. Once a model is developed then you have to extract actionable insights and recommendation. Also, below are the details of the next 10 matches, India is going to play. You have to predict the result of the matches and if you are getting prediction as a Loss then suggest some changes and re-run your model again until you are getting Win as a prediction. You cannot use the same strategy in the entire series, because opponent will get to know your strategy and they can come with counter strategy. Hence for all the below 5 matches you have to suggest unique stra...

I have a machine learning model saved in .sav format and need someone to write a function to read the model and predict using it in R (okay if with 'reticulate' function use).

This is a student project and we want to implement Machine Learning to help predict sales in our prototype model of an e-commerce website.

This is a student project and we want to implement Machine Learning to help predict sales in our prototype model of an e-commerce website.

...on Tomato and Onion plants and their crop pests. The system could identify the insect using machine learning techniques and give the most accurate result. The system could identify the insect once the user uploads an insect's image. The system will then instruct the user if that is a harmful insect (crop pest) or beneficial insect. The system also should have video processing. It will help to predict the flying insects and crop pests which effect in nighttime. After the identification, the system will analyze that crop pest's stage in its Lifecycle, and the system will use augment-reality technology and showcase the 3D image of that crop pest's Lifecycle and highlight the current stage of that crop pest with its scientific name. The system can identify the crop ...

...the data needed will have to be retrieved by scraping methods/Text mining. Job description: 1. Create a Text Mining algorithm to find key words on property listings. These key words will be used as variables. I will provide the rest of the variables to you after that. Once all variables are collected you will use them to model. 2. Take the variables and Build several predictive models which will predict the 4 stated target variables above. Conduct pre-processing of data for missing values, outliers and wrong data. Create flag variables and standardize the variables. Conduct additional data wrangling as necessary to format the data properly for the model construction. After building the models using the training data, Fit it to a set of test data which I will provide also. Measure...

...data needed will have to be retrieved by scraping methods/Text mining. Job description: 1. Create a Text Mining algorithm to find key words on property listings. These key words will be used as variables. I will provide the rest of the variables to you after that. Once all variables are collected you will use them to model. 2. Take the variables and Build several predictive models which will predict the 4 stated target variables above. Conduct pre-processing of data for missing values, outliers and wrong data. Create flag variables and standardize the variables. Conduct additional data wrangling as necessary to format the data properly for the model construction. After building the models using the training data, Fit it to a set of test data which I will provide also. Measur...

Am trying to develop a new algorithm that can predict credit card fraud. I don't have a dataset. I want like 3 supervised, 2 deep learning and 2 unsupervised.

Predictive analytics - need to predict data for next 7 days, based on last 30 days available data

Project 1: Build a model which can predict the condition of the patient depending on the received test results. Project 2: Devise a model for an effective campaign with better target marketing to increase the conversion ratio to double digit with same budget as per last campaign.

TUBR is working on Innovating Crowd Management on public transport. We are building the state of the art Time series Machine Learning Models to predict the crowds in public transport. Project Description We are looking for an expert in machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field. Skills - Work as part of a small team to build build the ML model - 2+ years of experience - Firm grasp of the Pyspark, python based ML packages (such as TensorFlow or PyTorch), Jupyter Notebooks. - Ability to write well-...

This assignment uses the data of the example The spam filter. 1. Extract two clusters from the data, using the k-means method. Do these groups match the 0/1 groups given by the target column spam? 2. Drop the three cap_ columns and binarize all th... Do these groups match the 0/1 groups given by the target column spam? 2. Drop the three cap_ columns and binarize all the word_ columns, transforming them into dummies for the occurrence of the corresponding word. Repeat the analysis of question 1 with these binarized data. 3. Repeat the clustering exercise with the binarized data, after removing a few features, those that contribute less to predict spamness. 4. Compare the results of the three analyses. What do you conclude? Submission 1. Submit a document with your code and short ...

hey there I want you to create an ai that in takes the data of the books and previous year questions. After in taking the data I want it to predict the ques tions which has the highest probablity according to the recent data

I was wondering whether someone might be able to help me out with the following issue. For my research project, we are using picture ratings (ratings of the extent to which an individual in the picture is dominant, trustworthy, etc) to predict another variable. To do so, we had 60 participants rate the picture on several traits (e.g., dominant, trustworthy, attractive, etc). Overall we had 500+ pictures to rate and, being afraid of the participant fatigue, we had each individual rate only a few of the pictures. As such, we ended up with a dataset where each picture has been rated by 3-8 raters. Now we need to calculate interrater reliability. The standard cronbach's alpha is not an option because it requires each picture being rated by two of the same raters (I think). The o...

Detect on image, video and live feed. Create application on windows. Use jetson nano as engine. Display graph based on people counting data. Predict forecast based on counting.

...is the predicted price pf apple from the correlation model. If you can use the monte carlo method ontop of the correlation method then that would be amazing, if not its okay. Next we will use the mone carlo to predict the stock , unless you used it for correlation then skip this part. Please view the report for what is expected. After that we use MPL that we feed into it the price of apple , y_predicted and the features we chose. This should allow us to predict a buy or sell signal at the closing price. At a higher level the model basically studies the price of apple tries to predict the price suing a regression model , and if it predicts the price will go up it send a buy signal and if predicts the price will go down the next day it sends a sell signal. The decisio...

You are tasked with forecasting four different measures of engagement (target1-target4) for a subset of MLB players who are active in the 2021 season. The data contains a set of static files that do not change with time (, , , ) as well as daily data () which is grouped by day. When predicting on a given date, you are forecasting the target variables for the next day (i.e. for date d, you're predicting the engagement for day d+1).

My project topic is on construction and demolition waste:A quantitative analysis I have to do questionnaire survey and using some methods (the methods which are implemented in different countries for quantification ) by those methods i should quantity C&D waste My project objectives are: 1. To analyse the various factors contributing to C...questionnaire survey and using some methods (the methods which are implemented in different countries for quantification ) by those methods i should quantity C&D waste My project objectives are: 1. To analyse the various factors contributing to C&D waste 2. To quantify the C&D waste generated by adopting various quantification method 3. To select the most suitable method for estimating C&D waste 4. To predict the C&D waste...

 I need to evaluate non identifiable data I collected from work. - I want to evaluate PPV, NPV of different blood test, clinical sensitivity and specificity of the different tests and determine the most appropriate cut-off for both single and combination. - explore differences between variables (demographic and clinical features). - assess associations between two linear variables. - to predict the probability if having an allergen based on history and previous test results.

I need assistance related to systematic review on prognostic modelling studies. I am wondering if someone could help me in methods of extracting relevant data from relevant studies, and finding the best model to predict the required outcome in specific population of interest

...accuracy in 6 different conditions ; the software should calculate the average of the 10 results and work on the average value for each condition. The Tensile Strength test was performed 3 times for each Nano-composite, the software should calculate the average results and work on the average value. I need a python software that can analyze the data using Feed Forward Neural Network (FFNN) to predict or forecast the results for the dielectric strength and the tensile strength of the other concentrations that were not tested in the same filler concentration wt% range (The filler wt% range from 0 to 7). The experimental results only tested on filler wt% for each nano-composite : 0, 1, 3, 5, 7. The software should forecast any others wt% required that were not experimentally measure...

we provide you a data you need to to build a model that can predict the date on which client pay the due amount

...accuracy in 6 different conditions ; the software should calculate the average of the 10 results and work on the average value for each condition. The Tensile Strength test was performed 3 times for each Nano-composite, the software should calculate the average results and work on the average value. I need a python software that can analyze the data using Feed Forward Neural Network (FFNN) to predict or forecast the results for the dielectric strength and the tensile strength of the other concentrations that were not tested in the same filler concentration wt% range (The filler wt% range from 0 to 7). The experimental results only tested on filler wt% for each nano-composite : 0, 1, 3, 5, 7. The software should forecast any others wt% required that were not experimentally measure...

Well, my background is in technology and today I work as a data engineer in a multinational. This personal project involves dropshipping issues. I need a web scraper app that shows me the top 10 best-selling/shipped products specifically to Brazil. Having this data, I can apply data science and predict trends in razil and other products issues related to prediction analysis. As I already was Developer/Programmer, I will support the app myself, so I need a lean algorithm, comments in each function, explaining clearly what each line of the code do. I really will need to understand how the code works to improve the whole system. Currently I'm building other parts of the system so I'm too busy to do this web scrapping part. I will likely need more help in other system's p...

Hi, i am postgraduate student from malaysia, i need someone that can help me to build gui application to predict frequency using trained neural network (save in .mat file), i have the trained neural network, i only need someone that can help me with the coding to load the .mat file in GUI.

Hello, I am looking for what appears to be a complex script that utilize NLTK. I need a script that can scrape a txt file, and extract things like Characters, Locations, Length, Page, etc. but also predict what is a Prop or set dressing (thus the NLTK). Below is a small sample of the file format that will need to be scraped (I have plenty of examples). I need a script I can run myself and potential modify (I could add to db's for recognizing "Props" or whatever myself for example).

...Industry Analysis by answering the following questions: A. In relation to the four characteristics of successful strategies in Figure 1.1 (textbook p.9), assess the strategy of your selected company. B. Review Porter’s Five forces of competition framework (for your company), assess the power of the buyers, suppliers, and substitutes of your selected company. Given the Five Forces analysis outcomes, predict the level of industry profitability expressed as high, intermediate, or low. C. What strategies can companies adopt to reduce competitive pressure and improve industry profitability? Pick a strategy of your choice and discuss its benefits related to competition, position, and revenue etc. D. Define Key success factors and answer the following questions: i. What ar...

...Industry Analysis by answering the following questions: A. In relation to the four characteristics of successful strategies in Figure 1.1 (textbook p.9), assess the strategy of your selected company. B. Review Porter’s Five forces of competition framework (for your company), assess the power of the buyers, suppliers, and substitutes of your selected company. Given the Five Forces analysis outcomes, predict the level of industry profitability expressed as high, intermediate, or low. C. What strategies can companies adopt to reduce competitive pressure and improve industry profitability? Pick a strategy of your choice and discuss its benefits related to competition, position, and revenue etc. D. Define Key success factors and answer the following questions: i. What are th...

I have a ML code written in python, already working, that uses the past stock value prices to train, predict and validate the stock values for a given share (e.g APPLE). I need to modify the code to train the model with all the information up to date and predict the stock values for the specified time period. *** First Milestone *** 1. Code shall be able to predict any given SYMBOL manually typed, for the given time window. The program shall do the following: a. Prompt to input which SYMBOL to predict b. Prompt to input if the model is going to take all the historical data (Y/n). c. If answer to point b. is "Y" (default), then skip point d. and take all the historical data until current date. d. If answer to point b. is "n", then prompt to i...

Need help to make a presentation Business Analyst topic: 1.) We predict our market to be people around 20-40 with income class B & C. We have a variety of coupons, all from different brands, have different offerings (e.g. buy one get one, cash voucher) and they all perform differently. a.) Assuming you have access to our data, how would you analyze the coupon performance to get a better understanding of our users? b.) Based on your analysis, how would you improve the retention of that group of users? 2.) We have many promos, coupons and COA (Company Official Accounts - where brands can sign up and have an official account, where users can follow and get updates from the account). a.) Assuming you have access to our data, how would you measure the performance of these promos, co...

Translating a Jupyter notebook into a Python package - - def train_and_persist() - def predict(a, b, ...) - etc.

Consider the time taken to verify a single bug is a minimum two hours where the bugs can be from the field or are found in-house. If a test team verifies hundreds of bugs per year, for 250 defects, that is 100 days of work on nothing else but this. Create a training model that will predict which defects were incorrectly fixed based on previous data (i.e., previously verified defects). The bug prediction dataset contains data about the following software systems: - Eclipse JDT Core - Eclipse PDE UI - Equinox Framework - Lucene - Mylyn Justify whether to use supervised/unsupervised/reinforcement learning for the task. 1. Import Libraries/Dataset a. Download the dataset b. Import the required libraries 2. Data Visualization and Exploration a. Print at least 5 rows for sanity ch...

...also it can an identify trend direction with this indicator the numbers will display as two-color. Green color means the Bull trend. Red color mean Bear trend. When you are is in the downtrend, the trend is beginning with number 0 from Red color. If you are in the uptrend, the trend is beginning with number 0 from green color based on the principle of finding a certain graphical patterns that can predict trends. requirement: 1- you are competent to perform the full range of Elliott wave analyses in various market scenarios, including accurately labeling idealized wave patterns and identifying wave counts. 2- Have a good knowledge in trading Also provide me with source code...

...elements such as CTAs, banners, page layouts, page designs, page flows, and target links for landing pages. - Collaborating with the marketing team, and internal and external designers to ensure the creation and delivery of tailored experiences for the digital user. - Providing advice and guidance on the implementation of UX research methodologies and testing activities in order to analyze and predict user behavior. - Adhering to style standards on typography and graphic design. UI/UX Designer Requirements This senior role requires a minimum of 4 years of solid UI/UX design experience for digital products or services in current roles. A portfolio of current progressive professional UI/UX design work for both web and mobile platforms. Working knowledge of the following technolog...

I have a ML code written in python, already working, that uses the past stock value prices to train, predict and validate the stock values for a given share (e.g APPLE). I need to modify the code to train the model with all the information up to date and predict the stock values for the specified time period. *** First Milestone *** 1. Code shall be able to predict any given SYMBOL manually typed, for the given time window. The program shall do the following: a. Prompt to input which SYMBOL to predict b. Prompt to input if the model is going to take all the historical data (Y/n). c. If answer to point b. is "Y" (default), then skip point d. and take all the historical data until current date. d. If answer to point b. is "n", then prompt ...

I have arranged the dataset for your ease. Now at the end you can find 22 columns (Players_1, Players_2, .......... Players_22). These columns are to be predicted one by one using chain classifier. For multilabel classificatio...one using chain classifier. For multilabel classification we have to implement various Models and at the end we will have a table having name of model and its accuracy score. the last 22 column of player names are to be predicted and the previous column are features. so we will predict first column from these features, then we will predict second player column from these features and first predicted player column, then we will predict third player from these features and 1,2 predicted player columns and so on will predict 22 column for t...

DESCRIPTION Walmart, would like to predict the sales and demand accurately. There are certain events and holidays which impact sales on each day. There are sales data available for 45 stores of Walmart. The business is facing a challenge due to unforeseen demands and runs out of stock some times, due to the inappropriate machine learning algorithm. An ideal ML algorithm will predict demand accurately and ingest factors like economic conditions including CPI, Unemployment Index, etc. Walmart runs several promotional markdown events throughout the year. These markdowns precede prominent holidays, the four largest of all, which are the Super Bowl, Labour Day, Thanksgiving, and Christmas. The weeks including these holidays are weighted five times higher in the evaluation t...

...coding into the AlexNet architecture with a novel adaptive chimp optimiser for real-time object detection. This novel Adaptive spiking AlexNet convolutional chimp optimiser is the spiked-based real-time object detection model that provides near-lossless information transmission in a shorter period of time for deep SCNN. The primary layer of this SCNN consists of dissimilar Gaussian filters to predict the contrast of the video frames from the real-time video datasets. Hereafter, it encodes the contrast strength over the latencies. The design of spikes in the convolutional model has support to find the complex features of the video frames. Also, it can take the output of previous layers as input data for the following layers. When the object has been detected simultaneously Convo...

prediction customer satisfaction using cnn prediction usinng ann

I have a clean dataset that contains 10 features as shown in the attached figure and I want to build, train, and evaluate LSTM model with multiple layers to predict one of the ten features (GHI). The input sequence should be 6, which means the last 6 records are used to predict the next value. The model should be built using the Pytorch library.

We need to train a TensorFlow Lite neural network with some set of images. The ESP32 cam should capture an image and be able to predict which object it is.

Make a model to predict the app rating, with other information about the app provided. Google Play Store team is about to launch a new feature wherein, certain apps that are promising, are boosted in visibility. The boost will manifest in multiple ways including higher priority in recommendations sections (“Similar apps”, “You might also like”, “New and updated games”). These will also get a boost in search results visibility. This feature will help bring more attention to newer apps that have the potential The problem is to identify the apps that are going to be good for Google to promote. App ratings, which are provided by the customers, is always a great indicator of the goodness of the app. The problem reduces to: predict which apps w...

Hi Scott, I run a production team in the Arma 3 engine. Would you be open to offering contractual work for clients in the $$$-$$$$ range? Our website is here, You'd be replacing Ampersand on the Arma page as our main scripter. Hours are a little difficult to predict but we have a client for you immediately if you're interested, payment is dependent on project budget but we also want to let you decide your rate and hours. For more information contact my discord at Snails#7141 Thanks!