Trending December 2023 # Download “The Beginner’s Guide To Os X Mountain Lion” # Suggested January 2024 # Top 21 Popular

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It doesn’t matter if you are a new user or a seasoned user of Apple’s latest operating system – Mac OS X Mountain Lion. In this ebook, “The Beginner’s Guide to OS X Mountain Lion“, you will learn all you need to know about OS X Mountain Lion. Grab it now!

Written by Charnita Fance, this 79-page ebook contains tips from getting around your Mac, to mastering the keyboard and trackpad, managing your apps, getting social in your Mac, and many more tips and tricks for you to get the most out of OS X Mountain Lion.

Specifically, you will find information on:

Setting up your Mac

Getting Around Your Mac

Mastering the Keyboard and Trackpad

Managing Your Apps

Notable Features in Mountain Lion

Getting Social


Getting the Most Out of Mountain Lion


Damien Oh started writing tech articles since 2007 and has over 10 years of experience in the tech industry. He is proficient in Windows, Linux, Mac, Android and iOS, and worked as a part time WordPress Developer. He is currently the owner and Editor-in-Chief of Make Tech Easier.

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10 Favorite Mountain Lion Features

Your Stuff, Everywhere

iCloud now comes fully to Mountain Lion. If you aren’t familiar with iCloud, it allows all of your documents, photos, iCal, Address Book, etc to be available over the air without having to be saved on a flash or hard drive. The cloud initiative is also found with many music sharing companies that allow songs to be available over the air for download once purchased. To use on your Mac, just sign in with your Apple ID. What ever you do on one device hooked up with iCloud, it will reflect on the other connected devices. It will be something you’ll find yourself using a lot with Mountain Lion!

iMessaging on a Mac

Sharing Sheets

Tweeting on Your Mac

With Share Sheets, you have the ability to share photos and links you have found onto Twitter. The tweeting feature and interface looks identical to that found on iOS. You have, what looks like a note card, where you can write your message, have the link or image clipped, and the ability to add your location. With a character counter on the bottom, you never have to worry about staying within the 140 characters. If you receive a mention or DM, you’ll know with Twitter integration.

Your Mac, Safer

OS X Mountain Lion is there to make sure your Mac is safer than ever. This is done with the addition of Gate Keeper. This makes sure that the applications downloaded are of your consent. You have three options for protecting yourself. You can have no setting at all, allowing you to download just about anything anywhere, but you’ll at least be protected in some minor way. You can set to only download from Apple accredited developers, simply those who have a Developer ID, or you can only download from the Mac App Store.

Notifications in One Place

Gamer Friendly Mac

Game Center for iOS allowed you to keep of your stats and standings with the games you played alone and with friends. Now, Game Center has come to Mac. You can now check out your standings with the myriad of games available on the Mac App Store. Just sign in with your Apple ID to enjoy the fun. If you are already using Game Center on your iPhone or iOS device, all of your stats and information, including profile information, will match up. Have fun, but not too much fun!

Remember Everything

Reminders first appeared on iOS and it’s an application I use about everyday to remember tasks I have to get done for the day. Now, Reminders is made available on Mac through Mountain Lion. Now you can remember everything that has to get done, from projects to groceries. Reminders for Mac also uses iCloud to apply additions and changes made on your Mac with the iOS devices connected with the Apple ID. Reminders are categorized, like on iOS, making for easier retrieval.

Your Mac, On TV

Notes for Your Thoughts

Lastly, Mountain Lion finally has a stable, formal notes section. This allows you to add small pointers, instructions, or just reminders for yourself without having to waste a sheet of paper. If needed, Notes now allows you to add photos and attachments to your notes. Once your notes are completed, you can send them, through Share Sheets to Messages or Mail. Have a note you need to remember once you get back to your Mac? Notes allows you to pin them onto your desktop for later review. All of this works with iCloud, meaning the notes made, edited, and deleted on your Mac will reflect on your iOS device, vice versa.

Which one is your favorite Mountain Lion features?

Ari Simon

Ari Simon has been a writer with Make Tech Easier since August 2011. Ari loves anything related to technology and social media. When Ari isn’t working, he enjoys traveling and trying out the latest tech gadget.

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Apple Unveils Mountain Lion Preview: Ios

It has been only seven months since Apple released Mac OS X 10.6.7 Lion and today the company announced Mountain Lion—the next major update to its desktop operating system. As 9to5Mac first learned in October, Mountain Lion brings even more popular iOS features to the Mac platform. The notion is shared by those Apple invited to a private briefing a few day ago: Mountain Lion is all about putting even more of iOS into the bowels of OS X. Meanwhile, iOS-ification of OS X continues with Twitter integration in Mountain Lion and new iOS-esque apps, such as Messages, Notification Center, AirPlay Mirroring, Notes, Reminder, Game Center, and deep iCloud integration.

With over a hundred million iCloud accounts now in use, Mountain Lion’s setup assistant will now ask you to set up an iCloud account for the Documents in the Cloud and Find My Mac features, as well as to sync contacts, email and chat messages and calendar entries. You can also access your iCloud storage in Finder and drag and drop documents for manual syncing between iOS apps that support Documents in the Cloud and their desktop counterparts.

AirPlay Mirroring is another welcome addition for those wishing to securely beam a 720p video stream of what is on your Mac to a HDTV through the Apple TV. Share Sheets, a new system-wide feature, is accessible from Apple’s and third-party apps for sharing links, photos, and videos. Like in iOS, Twitter integration means you give your Twitter credentials once and tweet directly from Safari, Quick Look, Photo Booth, Preview and supported third-party apps.

Mountain Lion Beta is available to Mac Developer Program members starting today whilst end-users can upgrade to Mountain Lion from the Mac App Store in late summer 2012. The company also pledged to update OS X once a year from now on. For more information, check out Apple’s new OS X Mountain Lion Sneak Peek page.

The full release, more features and two press shots are after the break.

The biggest news is the Notification Center app. Apple left traces it was working on such a feature with the release of FaceTime for Mac, which can put up an incoming call alert even when the app is not running. Notifications in Mountain Lion will include alerts from Mail, Calendar, Messages, Reminders, system updates, and third-party apps, the company confirmed. Gatekeeper, another new feature, is designed as a system-wide malware protection seeking to give you “complete control over what apps are installed on your Mac.” Little is known about Gatekeeper, so we are still in the dark as to whether it will be an optional part of Mountain Lion or whether it will sport a decent app removal tool. According to the press release:

Gatekeeper is a revolutionary new security feature that gives you control over which apps can be downloaded and installed on your Mac. You can choose to install apps from any source, just as you do on a Mac today, or you can use the safer default setting to install apps from the Mac App Store, along with apps from developers that have a unique Developer ID from Apple. For maximum security, you can set Gatekeeper to only allow apps from the Mac App Store to be downloaded and installed.

Reminders and Notes work together with their iOS counterparts, letting you jot notes and track to-dos across your desktop and mobile devices. As for Game Center, Apple said the program will let you “find new games and challenge friends to play live multiplayer games, whether they’re on a Mac, iPhone, iPad or iPod touch,” but the company would not specify on how Mac-only games will be supported. To facilitate development of Game Center-compatible games across both iOS devices and Macs, Apple is making the new Game Kit API available to Mac developers and they implemented GLKit—first introduced in iOS 5—to make it easier to create OpenGL apps for Mountain Lion.

Finally, Chinese users will love Mountain Lion for its “significant enhancements” to the Chinese input method, the new Baidu search option in Safari, support for email service providers QQ, 126 and 163 in Contacts, Mail and Calendar, video sharing support for local services Youku and Tudou through Share Sheets, and system-wide support for the popular Sina weibo micro-blogging platform.

Apple Releases OS X Mountain Lion Developer Preview with Over 100 New Features

The developer preview of Mountain Lion features the all new Messages app which replaces iChat and allows you to send unlimited messages, high-quality photos and videos directly from your Mac to another Mac or iOS device. Messages will continue to support AIM, Jabber, Yahoo! Messenger and Google Talk. Starting today Lion users can download a beta of Messages from chúng tôi and the final version will be available with Mountain Lion. Reminders and Notes help you create and track your to-dos across all your devices. Game Center lets you personalize your Mac gaming experience, find new games and challenge friends to play live multiplayer games, whether they’re on a Mac, iPhone, iPad or iPod touch.

Mountain Lion presents notifications in an elegant new way, and Notification Center provides easy access to alerts from Mail, Calendar, Messages, Reminders, system updates and third party apps. System-wide Share Sheets make it easy to share links, photos and videos directly from Apple and third party apps. Twitter is integrated throughout Mountain Lion so you can sign on once and tweet directly from Safari, Quick Look, Photo Booth, Preview and third party apps. Mountain Lion also introduces AirPlay Mirroring, an easy way to wirelessly send a secure 720p video stream of what’s on your Mac to an HDTV using Apple TV.

More than 100 million users have iCloud accounts, and Mountain Lion makes it easier than ever to set up iCloud and access documents across your devices. Mountain Lion uses your Apple ID to automatically set up Contacts, Mail, Calendar, Messages, FaceTime and Find My Mac. The new iCloud Documents pushes any changes to all your devices so documents are always up to date, and a new API helps developers make document-based apps work with iCloud.

Gatekeeper is a revolutionary new security feature that gives you control over which apps can be downloaded and installed on your Mac. You can choose to install apps from any source, just as you do on a Mac today, or you can use the safer default setting to install apps from the Mac App Store, along with apps from developers that have a unique Developer ID from Apple. For maximum security, you can set Gatekeeper to only allow apps from the Mac App Store to be downloaded and installed.

Mountain Lion also has features specifically designed to support Chinese users, including significant enhancements to the Chinese input method and the option to select Baidu search in Safari. Mountain Lion makes it easy to set up Contacts, Mail and Calendar with top email service providers QQ, 126 and 163. Chinese users can also upload video via Share Sheets directly to leading video websites Youku and Tudou, and system-wide support for Sina weibo makes microblogging easy.

Hundreds of new APIs give developers access to new core technologies and enhanced features within OS X. The Game Kit APIs tap into the same services as Game Center on iOS, making it possible to create multiplayer games that work across Mac, iPhone, iPad and iPod touch. A new graphics infrastructure underpins OpenGL and OpenCL and implements GLKit, first introduced in iOS 5, to make it easier to create OpenGL apps. Using Core Animation in Cocoa apps is easier than ever, and new video APIs deliver modern 64-bit replacements for low-level QuickTime APIs. Enhanced Multi-Touch™ APIs give developers double-tap zoom support and access to the system-wide lookup gesture. Kernel ASLR improves security through enhanced mitigation against buffer overflow attacks.

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A Beginner’s Guide To Effective Youtube Seo

We all know that YouTube is the number one avenue for video marketing nowadays. Its rise to prominence has been so monumental that being a YouTuber is a legitimate career nowadays! As always, there’s a lot of work that goes on behind the scenes for a successful YouTube channel. Most importantly, successful YouTube channels need a solid SEO strategy to hit the ground running and gain engagement. Even for veteran SEO analysts, YouTube SEO is untested waters because it is significantly different from conventional SEO practices. Therefore, staying in the loop about the SEO best practices for YouTube is instrumental in elevating your channel to the big leagues. 

The Basics

The world of YouTube can be daunting for new entrants into the field. That’s why we’ve put together a walkthrough for you to learn the ropes of YouTube SEO basics. Right off the bat, you must know what YouTube’s algorithm works slightly differently from that of Google. As you may already know, learning digital marketing fundamentals of the algorithm is step 1 of planning your SEO strategy. But before we get into that, let’s get a better understanding of some YouTube jargon that explains how to rank a YouTube video.

The Talk Of The Trade Thumbnails Viewer Retention

The measure of how many viewers stay and watch your video. It tells YouTube exactly how great your video is. 

Watch Time

It is the cumulative time spent by users watching your channel’s content. Again, this is yet another way for YouTube to assess your channel’s quality and popularity.

Focus Keywords

These are the currency of knowing how to rank your video on YouTube. These are the keywords you want to target when you’re planning the SEO ranking for a video. 

But above all this, the golden word for YouTube SEO is engagement. If you want more views and subscribers, you want a strategy that’s geared around creating more engaging content for your viewers.

The Groundwork

To work on your YouTube SEO, you need to have videos on your channel first. That’s where our SEO journey begins, as always. The key to optimizing the content you post on your YouTube channel is maximizing the value you offer to prospective viewers. Once you know the niche your YouTube channel occupies, it’s time to capitalize on the core points that your target audience will want to see. How does one go about learning what kind of content the YouTube algorithm likes? Let’s look into that before we get into the SEO best practices for YouTube!

Algorithm Analysis

Let’s take a page out of YouTube’s guidelines book here. According to YouTube, here is a list of factors that decide how well your video will do on the platform:

-Query Relevancy

-Title and Description Keywords 

-Engagement Metrics (Comments, Likes, Shares)

-On-page aspects

-In-video aspects

In a nutshell, this is the checklist that you have to keep in mind when you plan your SEO strategies for YouTube. Now, there are plenty of bases to cover when you start your YouTube game. Where can we begin cracking the code to YouTube SEO? How about we start with square one in the SEO best practices for YouTube guidebook? The very first aspect that viewers notice: the video listing!

At First Glance

The first things that people see when they search for your YouTube niche are the title and the thumbnail. These seemingly small and unassuming elements can go a long way in getting more views to your videos. 

Last but not least, don’t forget to account for the initial words of the description that comes with your YouTube video! On browser sessions, this snippet of text will also be visible in the search window. Therefore, start your description texts strong and inform the audience right from the get-go!

The Keywords

One of the SEO best practices for YouTube is concise keyword research. As you might expect, there are great tools out there to help you with keyword research. Some are free; some are freemium. However, the most straightforward keyword research tool at your disposal is right there on the search bar. All you have to do is type the keyword you’re targeting, and you’ll have an insight into the most popular keywords at the moment. On YouTube, it’s all about the here and now. If something is going on in the world, the right time to post a video about it is now. Tomorrow, it will be yesterday’s news. So make haste and capitalise on the current trends!

Watch What You Post

YouTube SEO isn’t just about the accompaniments that come with your video. It’s also about what you put in the video itself. Yes, YouTube closely watches what’s inside every video too, so you can’t cheese the system by just focusing on titles and keywords. Here are a few guidelines to set you on the right track of knowing how to rank a YouTube video. 

Video length

As a rule of thumb, YouTube likes longer videos. For a ballpark estimate, you can keep your video around 12-20 minutes for optimum rankings. The SEO benefit from this is that longer videos = longer watch time, on average at least. Beyond this, you’ll also be getting the direct use of more ad revenue on longer videos, so there’s that!

Content Cards

The text you put inside a video also matters. Here, the trick is to insert your target keywords seamlessly into the video content. Traditionally, the best place to put those keywords is the opening and end cards, because that’s where the viewers usually congregate. 


Remember, your video isn’t just a standalone piece. It’s a part of the YouTube SEO puzzle. Therefore, you must make an effort to interlink everything within your video content. Have a call-out to a link in the description to redirect traffic to that section. Most importantly, don’t forget to sign off with a compelling CTA that convinces people to hit that subscribe button! You will also want to pepper keywords inside the description of the video, to boost your rankings further. 

Though not a part of the video itself, the tags you use are just as crucial to your rankings. For those who don’t know, tags are the three hashtags you usually see on a YouTube video’s title. You only get three, but if you use them wisely, your video can gain a lot more traction! If you need help, look at what other people in your same niche are using as tags. It can’t hurt to have a leg up over the competition!

The Scripts

These factors sound simple on paper. However, you will learn how to rank a YouTube video only through practice! So don’t hesitate to take the plunge and start orchestrating a YouTube video according to the best practices for YouTube!

The Stats Equation

Like it or not, YouTube search rankings are all about the numbers game! In that regard, YouTube’s Google Analytics is your best friend. However, there are more layers to the YouTube SEO equation than that. Let’s get acquainted with the specifics of YouTube SEO!

The Toolbox

You have to understand that knowing the analytics of your videos requires a 360-degree approach from all fronts. Most budding Youtubers usually only observe the metrics such as the CTR and overall watch time. However, it pays to take note of every single metric that the dashboard shows you. Meet the YouTube analytics tool, which is a companion piece to the more popular Google Analytics. How can it help you elevate your YouTube channel? Let’s find out!

YouTube Analytics

Nothing helps you better on the SEO best practices for YouTube than YouTube Analytics itself. This nifty tool is your gateway to understanding your audience better. For starters, let’s get you acquainted with some of the basic statistics that you should observe on this platform. 


What age range your audience occupies. This statistic also tells you the type of people who flock to watch your content. Consequently, you can know your target audience better and tailor your content and approach accordingly. 

Channel Traffic

This metric is yet another vital factor to consider when you’re assessing your channel’s performance. The traffic statistic gives you an idea about where your audience is landing on your channel and videos. If you know where they come from, it’s a piece of cake to explore and optimise your channel to drive maximum traffic to your page and videos!

One metric that is an absolute godsend in terms of channel growth assessment is the V/S ratio. YouTube analytics can show you with precision which video viewers are subscribers. This metric is so precise that it can show you which video got you the subscription for a particular user! If your viewers are higher than your subscribers, then you’re falling behind in the department of converting views to subscriptions. Au contraire, if your subscribers are the only views you’re getting, it is an early sign that your channel is beginning to stagnate. Keep a close eye on this statistic to keep your channel flying high!

Google Analytics rounds out this kit by providing additional insights into how your YouTube presence ranks from a search perspective. If you want to know how to rank a YouTube video, however, you might be needing even more firepower in the insights department. 

Starting The Journey

As a parting note, we’ve got a few tips for you to prep you for your YouTube journey. These tips may be simple, but they go a long way! and need to focus on new digital marketing techniques that help in increasing your channel branding

– Share your videos on your other platforms. It keeps the traffic flow healthy and your YouTube channel active!

– Give shoutouts to your previous videos to give them a little boost in traction.

– Use your Community Page to interact with your audience directly through polls and the like.

– Last but not least, keep your content consistent and keep your audience engaged!

The SEO best practices for YouTube may seem like a daunting prospect to learn, but it’s straightforward when you know the ropes and takes the plunge! Are you ready to start your journey as a YouTuber?

FAQ How to optimize videos for YouTube Search?

The best way to optimize your videos for YouTube Search is to note the keywords in the search bar and tailor your title and thumbnail accordingly.

What is an easy way to optimize my YouTube channel in 2023?

Pay close attention to YouTube analytics and channel performance. Know where your audience is coming from and which videos are popular among them.

Does YouTube help with SEO?

YouTube can actually be an integral cog in the SEO machine if you play your cards right. It can be a significant source of organic traffic for your brand online.

How can I rank YouTube videos in 2023?

Knowing how to rank YouTube videos in 2023 is a matter of knowing the trends and driving more traffic to your channel through cross-promotion.

A Beginner’s Guide To Random Forest Hyperparameter Tuning

Introduction to Random Forest

What’s the first image that comes to your mind when you think about Random Forest? It conjures up images of trees and a mystical and magical land. And that’s what the Random Forest algorithm does!

It is an ensemble algorithm that combines multiple decision trees and navigates complex problems to give us the final result.

I’ve lost count of the number of times I’ve relied on the Random Forest algorithm in my machine learning projects and even hackathons. What makes random forest different from other ensemble algorithms is the fact that each individual tree is built on a subset of data and features.

Random Forest comes with a caveat – the numerous hyperparameters that can make fresher data scientists weak in the knees. But don’t worry! In this article, we will be looking at the various Random Forest hyperparameters and understand how to tune and optimize them.

I assume you have a basic understanding of the random forest algorithm (and decision trees). If not, I encourage you to go through the below resources first:

Random Forest Hyperparameters we’ll be Looking at:






max_sample (bootstrap sample)


Random Forest Hyperparameter #1: max_depth

Let’s discuss the critical max_depth hyperparameter first. The max_depth of a tree in Random Forest is defined as the longest path between the root node and the leaf node:

Using the max_depth parameter, I can limit up to what depth I want every tree in my random forest to grow.

In this graph, we can clearly see that as the max depth of the decision tree increases, the performance of the model over the training set increases continuously. On the other hand as the max_depth value increases, the performance over the test set increases initially but after a certain point, it starts to decrease rapidly.

Among the parameters of a decision tree, max_depth works on the macro level by greatly reducing the growth of the Decision Tree.

Random Forest Hyperparameter #2: min_sample_split

min_sample_split – a parameter that tells the decision tree in a random forest the minimum required number of observations in any given node in order to split it.

The default value of the minimum_sample_split is assigned to 2. This means that if any terminal node has more than two observations and is not a pure node, we can split it further into subnodes.

Having a default value as 2 poses the issue that a tree often keeps on splitting until the nodes are completely pure. As a result, the tree grows in size and therefore overfits the data.

By increasing the value of the min_sample_split, we can reduce the number of splits that happen in the decision tree and therefore prevent the model from overfitting. In the above example, if we increase the min_sample_split value from 2 to 6, the tree on the left would then look like the tree on the right.

On increasing the value of the min_sample_split hyperparameter, we can clearly see that for the small value of parameters, there is a significant difference between the training score and the test scores. But as the value of the parameter increases, the difference between the train score and the test score decreases.

But there’s one thing you should keep in mind. When the parameter value increases too much, there is an overall dip in both the training score and test scores. This is due to the fact that the minimum requirement of splitting a node is so high that there are no significant splits observed. As a result, the random forest starts to underfit.

You can read more about the concept of overfitting and underfitting here:

Random Forest Hyperparameter #3: max_terminal_nodes

Next, let’s move on to another Random Forest hyperparameter called max_leaf_nodes. This hyperparameter sets a condition on the splitting of the nodes in the tree and hence restricts the growth of the tree. If after splitting we have more terminal nodes than the specified number of terminal nodes, it will stop the splitting and the tree will not grow further.

Let’s say we set the maximum terminal nodes as 2 in this case. As there is only one node, it will allow the tree to grow further:

Now, after the first split, you can see that there are 2 nodes here and we have set the maximum terminal nodes as 2. Hence, the tree will terminate here and will not grow further. This is how setting the maximum terminal nodes or max_leaf_nodes can help us in preventing overfitting.

Note that if the value of the max_leaf_nodes is very small, the random forest is likely to underfit. Let’s see how this parameter affects the random forest model’s performance:

We can see that when the parameter value is very small, the tree is underfitting and as the parameter value increases, the performance of the tree over both test and train increases. According to this plot, the tree starts to overfit as the parameter value goes beyond 25.

Random Forest Hyperparameter #4: min_samples_leaf

Time to shift our focus to min_sample_leaf. This Random Forest hyperparameter specifies the minimum number of samples that should be present in the leaf node after splitting a node.

Let’s understand min_sample_leaf using an example. Let’s say we have set the minimum samples for a terminal node as 5:

The tree on the left represents an unconstrained tree. Here, the nodes marked with green color satisfy the condition as they have a minimum of 5 samples. Hence, they will be treated as the leaf or terminal nodes.

However, the red node has only 3 samples and hence it will not be considered as the leaf node. Its parent node will become the leaf node. That’s why the tree on the right represents the results when we set the minimum samples for the terminal node as 5.

If we plot the performance/parameter value plot as before:

So far, we have looked at the hyperparameters that are also covered in Decision Trees. Let’s now look at the hyperparameters that are exclusive to Random Forest. Since Random Forest is a collection of decision trees, let’s begin with the number of estimators.

Random Forest Hyperparameter #5: n_estimators

We know that a Random Forest algorithm is nothing but a grouping of trees. But how many trees should we consider? That’s a common question fresher data scientists ask. And it’s a valid one!

We might say that more trees should be able to produce a more generalized result, right? But by choosing more number of trees, the time complexity of the Random Forest model also increases.

In this graph, we can clearly see that the performance of the model sharply increases and then stagnates at a certain level:

This means that choosing a large number of estimators in a random forest model is not the best idea. Although it will not degrade the model, it can save you the computational complexity and prevent the use of a fire extinguisher on your CPU!

Random Forest Hyperparameter #6: max_samples

The max_samples hyperparameter determines what fraction of the original dataset is given to any individual tree. You might be thinking that more data is always better. Let’s try to see if that makes sense.

We can see that the performance of the model rises sharply and then saturates fairly quickly. Can you figure out what the key takeaway from this visualization is?

It is not necessary to give each decision tree of the Random Forest the full data. If you would notice, the model performance reaches its max when the data provided is less than 0.2 fraction of the original dataset. That’s quite astonishing!

Although this fraction will differ from dataset to dataset, we can allocate a lesser fraction of bootstrapped data to each decision tree. As a result, the training time of the Random Forest model is reduced drastically.

Random Forest Hyperparameter #7: max_features

Finally, we will observe the effect of the max_features hyperparameter. This resembles the number of maximum features provided to each tree in a random forest.

We know that random forest chooses some random samples from the features to find the best split. Let’s see how varying this parameter can affect our random forest model’s performance.

We can see that the performance of the model initially increases as the number of max_feature increases. But, after a certain point, the train_score keeps on increasing. But the test_score saturates and even starts decreasing towards the end, which clearly means that the model starts to overfit.

Ideally, the overall performance of the model is the highest close to 6 value of the max features. It is a good convention to consider the default value of this parameter, which is set to square root of the number of features present in the dataset. The ideal number of max_features generally tend to lie close to this value.

End Notes

With this, we conclude our discussion on how to tune the various hyperparameters of a Random Forest model. I covered the 7 key hyperparameters here and you can explore these plus the other ones on your own. That’s the best way to learn a concept and ingrain it.

Next, you should check out the comprehensive and popular Applied Machine Learning course as the logical step in your machine learning journey!


How To Get Iphoto Working Again In The Os X Yosemite

With OS X Yosemite you have a new app called Photos that all iOS users might find familiar. The app works much the same way as iPhoto did, but it brings a new and improved user interface for its users.

After working around the issue, a solution has been found that lets you make the iPhoto app on your Mac work again. Here’s how you can apply the fix on your Mac.

Getting iPhoto Working Again in OS X Yosemite

Just to make sure that you are facing the exact issue that we have a solution for, you need to first launch the app and see the error message.

3. As soon as the Store opens you will see a message that says “Item Not Available.” This is the issue that you are going to be solving in the rest of this guide.

7. Once the app has been updated, launch it and it should work for you.

If that solves the issue for you, you do not need to follow the steps given below. In case the issue still persists, follow the below steps.

9. Select “Users & Groups.” You are going to be creating a new user account to install the iPhoto app in. Then when you come back to your original account the app will work.

When the new user dialog box appears, select “Administrator” from the “New Account” dropdown menu.

Select “Use separate password” in the “Password” section.

When the app is installed, log out from the new account, log back in to your regular account, and launch the iPhoto app.

If you are a big fan of iPhoto and do not want to switch to the Photos app, you can continue loving your favorite app as it still works just fine on your machine.


If you suddenly found out that the iPhoto app no longer works, and you had some really great albums in it, the method above should help you get it working again on your Mac.

Mahesh Makvana

Mahesh Makvana is a freelance tech writer who’s written thousands of posts about various tech topics on various sites. He specializes in writing about Windows, Mac, iOS, and Android tech posts. He’s been into the field for last eight years and hasn’t spent a single day without tinkering around his devices.

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