Craft and publish engaging content in an app built for creators.
NEW
Publish anywhere
Post on LinkedIn & Mastodon too. More platforms coming soon.
Make it punchier 👊
Typefully
@typefully
We're launching a Command Bar today with great commands and features.
AI ideas and rewrites
Get suggestions, tweet ideas, and rewrites powered by AI.
Turn your tweets & threads into a social blog
Give your content new life with our beautiful, sharable pages. Make it go viral on other platforms too.
+14
Followers
Powerful analytics to grow faster
Easily track your engagement analytics to improve your content and grow faster.
Build in public
Share a recent learning with your followers.
Create engagement
Pose a thought-provoking question.
Never run out of ideas
Get prompts and ideas whenever you write - with examples of popular tweets.
@aaditsh
I think this thread hook could be improved.
@frankdilo
On it 🔥
Share drafts & leave comments
Write with your teammates and get feedback with comments.
NEW
Easlo
@heyeaslo
Reply with "Notion" to get early access to my new template.
Jaga
@kandros5591
Notion 🙏
DM Sent
Create giveaways with Auto-DMs
Send DMs automatically based on engagement with your tweets.
And much more:
Auto-Split Text in Posts
Thread Finisher
Tweet Numbering
Pin Drafts
Connect Multiple Accounts
Automatic Backups
Dark Mode
Keyboard Shortcuts
Creators love Typefully
150,000+ creators and teams chose Typefully to curate their Twitter presence.
Marc Köhlbrugge@marckohlbrugge
Tweeting more with @typefully these days.
🙈 Distraction-free
✍️ Write-only Twitter
🧵 Effortless threads
📈 Actionable metrics
I recommend giving it a shot.
Jurre Houtkamp@jurrehoutkamp
Typefully is fantastic and way too cheap for what you get.
We’ve tried many alternatives at @framer but nothing beats it. If you’re still tweeting from Twitter you’re wasting time.
DHH@dhh
This is my new go-to writing environment for Twitter threads.
They've built something wonderfully simple and distraction free with Typefully 😍
Santiago@svpino
For 24 months, I tried almost a dozen Twitter scheduling tools.
Then I found @typefully, and I've been using it for seven months straight.
When it comes down to the experience of scheduling and long-form content writing, Typefully is in a league of its own.
Luca Rossi ꩜@lucaronin
After trying literally all the major Twitter scheduling tools, I settled with @typefully.
Killer feature to me is the native image editor — unique and super useful 🙏
Visual Theory@visualtheory_
Really impressed by the way @typefully has simplified my Twitter writing + scheduling/publishing experience.
Beautiful user experience.
0 friction.
Simplicity is the ultimate sophistication.
Queue your content in seconds
Write, schedule and boost your tweets - with no need for extra apps.
Schedule with one click
Queue your post with a single click - or pick a time manually.
Pick the perfect time
Time each post to perfection with Typefully's performance analytics.
Boost your content
Retweet and plug your posts for automated engagement.
Start creating a content queue.
Write once, publish everywhere
We natively support multiple platforms, so that you can expand your reach easily.
Check the analytics that matter
Build your audience with insights that make sense.
Writing prompts & personalized post ideas
Break through writer's block with great ideas and suggestions.
Never run out of ideas
Enjoy daily prompts and ideas to inspire your writing.
Use AI for personalized suggestions
Get inspiration from ideas based on your own past tweets.
Flick through topics
Or skim through curated collections of trending tweets for each topic.
Write, edit, and track tweets together
Write and publish with your teammates and friends.
Share your drafts
Brainstorm and bounce ideas with your teammates.
NEW
@aaditsh
I think this thread hook could be improved.
@frankdilo
On it 🔥
Add comments
Get feedback from coworkers before you hit publish.
Read, Write, Publish
Read, WriteRead
Control user access
Decide who can view, edit, or publish your drafts.
Boosting algorithm clearly explained...
Boosting algorithms has always been a topic of discussion in the ML community due to their performance and generalization power🤖
let's deep dive into this exciting algo👇
What is boosting technique?
Boosting is a machine learning technique that uses a weak learner to fit the data and sequentially optimizes the error metric of each fit to reduce the error.
Base learners can be decision trees or any other weak learner suitable to the problem
It focuses on improving the model's performance by giving more weight to the misclassified samples in each iteration.
The primary idea behind boosting is to iteratively train new models that correct the errors of the previous ones.
Types of boosting algorithms
There are two major boosting algorithms 1) Adaptive boosting and 2) Gradient descent based boosting algos
Most widely used boosting algorithms:
1) Ada Boost
2) Gradient boosting
4) XGBoost
5) LightGBM
6) CatBoost
Code example of Ada boosting algorithm
Let's look the code example of ada boosting algorithm
There are other versions like "Hist Gradient Boosting" which fall under the type do gradient boosting algorithms.
It is used in datasets where samples are greater than 10,000 and features are mostly numerical.
Boosting techniques are famous in classical ML due to their performance and feature reach libraries along with custom solutions available
Hyperparameters are also key factors in building the best predictive models, you can learn this from documentation
scikit-learn.org/stable/modules/classes.html#module-sklearn.ensemble