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Send it in by clicking the link below, and if successful, we will share it with millions of our fellow fans, and pay you 50 quid for a video featured on footy accumulators. This may take a second or two. The Chargers are one of the hottest teams in the NFL right now having won 6 of the last 8 games including three wins in a row after starting the season 0-4. They can become the second team in NFL history to make the playoffs after starting the season 0-4 as they are tied for the division lead and are playing the best football out of all of the teams in the AFC West.

The Redskins have a minute chance of making the playoffs at 5-7 and will need a lot of help in order to do so. These two teams have played each other 10 times with the Redskins leading the series 7-3. The Redskins won the last matchup in 2013 by a score of 30-24. The Redskins are 5-7 SU and 5-7 ATS. Kirk Cousins is one of the most underrated quarterbacks in the NFL and will likely be one of the top free agents in the offseason unless Washington decides to franchise him again.

He lacks a true WR1 after their key free agent signing, Terrelle Pryor, has been a bust. Josh Doctson and Jamison Crowder have had decent seasons, but not elite numbers. Jamison Crowder leads the team in receiving with 51 catches for 628 yards and 1 touchdown. The running game has been below average as the Redskins have been forced to use three running backs this season in Rob Kelley, Chris Thompson and Samaje Perine.

Both Kelley and Thompson have found their way onto the IR and Perine leads the Redskins in rushing with 465 yards and a touchdown.

The defense has been mediocre as they rank 25th in points allowed per game, 15th in rushing yards allowed per game and 20th in passing yards allowed per game. The Chargers are 6-6 SU and 6-5-1 ATS. The Chargers started the season 0-4, but have since gone 6-2 and have a chance to be only the second team in NFL history to start 0-4 and make the playoffs. Philip Rivers has been playing at an All Pro level this season and should make the Pro Bowl.

Keenan Allen has been able to stay healthy all season after missing time in every year since his rookie season and lead the team in receiving with 77 receptions for 1,032 yards and 5 touchdowns.

Melvin Gordon is a good NFL running back who is averaging 3. Joey Bosa and Melvin Ingram are two of the best defensive ends in the NFL at getting to the quarterback and should be able to get pressure on Cousins in this matchup. The defense ranks 6th in points allowed per game, 32nd in rushing yards allowed per game and 7th in passing yards allowed per game. The Redskins have faltered while the Chargers have surged as the season has progressed.

The Redskins have a banged up offensive line and are going against a team that knows how to force pressure on the quarterback. I look for Cousins to be pressured all day in the matchup that will be dominated by the Chargers.

The Chargers will play ball control and I see Gordon having a big game against this defense.The knowledge I gained I could immediately leverage in my job. I don't believe that I have ever taken a program that more directly impacted my profession as quickly as this program has.

After this course, I have a high level understanding of the various advantages and disadvantages of the commonly used adaptive designs. I will use this information to propose Adaptive Designs at my workplace. I learned that there are several ways to use bootstrap. The course is an excellent starting point for anyone working with this methodology.

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Good job, thank you very much!. In conjunction with the powerful 'Resampling add-in for Excel' software, resampling methodology seems to be a novel and versatile tool that I expect to frequently use as an adjunct to the more formal established methods of data analysis.

The tools and understanding gained in this course are absolutely vital to the practice of data analytics (at least to an acceptable standard). Thank you for a great course. I have learned an incredible amountI felt this course helped me "unwrap" another layer of R, It helped me become a little more comfortable, and less afraid of writing an R program.

I found this course to be very helpful. It wasn't like other courses where you just run example code and change a few things here and there. I learned a lot and have even applied what I've learned in this course to the other course I'm enrolled in currently. Thank you for the great notes and text. The course helped me learn Tableau and some of the effective Visualization techniques. I really liked the detailed assignments with hints and steps required to perform some of the tasks.

The book for this course is very good. Everything is explained in a really clear way. Films are great too and help in understanding issues. I very much enjoyed the Stats 1 and 2 classes, and I think your book and approach really are excellent. I have taken a variety of stats-type classes, including calculus-based probability, but the re-sampling gave me a much more intuitive understanding than any other approach. I certainly feel that I got my money's worth from this course and this was almost entirely due to the prompt, thoughtful and expert comments of Brady and Andrzej.

I liked the way this course is presented. In every assignment we needed to think logically to produce the required plots and that's what I liked. Thanks for such a wonderful course. It was great to get a better sense of the Python language.We'll post early odds on NFL football week fifteen games as soon as they are available. Check back for free updated Las Vegas NFL betting odds for the Super Bowl all during the time leading up to Super Bowl 51.

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All the fields in the dataset Specifies the fields in the dataset to be considered to create the batch topic distribution. Example: "my new batch topic distribution" newline optional String,default is "LF" The new line character that you want to get as line break in the generated csv file: "LF", "CRLF".

For example, to create a new batch topic distribution named "my batch topic distribution", that will not include a header, and will only output the field "000001" together with the probability for each topic distribution. Once a batch topic distribution has been successfully created it will have the following properties.

Creating a batch topic distribution is a process that can take just a few seconds or a few hours depending on the size of the dataset used as input and on the workload of BigML's systems.

The batch topic distribution goes through a number of states until its finished. Through the status field in the batch topic distribution you can determine when it has been fully processed. Once you delete a batch topic distribution, it is permanently deleted. If you try to delete a batch topic distribution a second time, or a batch topic distribution that does not exist, you will receive a "404 not found" response.

However, if you try to delete a batch topic distribution that is being used at the moment, then BigML. To list all the batch topic distributions, you can use the batchtopicdistribution base URL.

By default, only the 20 most recent batch topic distributions will be returned. You can get your list of batch topic distributions directly in your browser using your own username and API key with the following links.

You can also paginate, filter, and order your batch topic distributions. Evaluations Last Updated: Monday, 2017-10-30 10:31 An evaluation provides an easy way to measure the performance of a predictive model.

The type of an evaluation can vary. It can be timeseries type if it is created using a time series. The performance measures provided by BigML will vary depending on the type of evaluation.


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