✔️ Big email dataset
✔️ 35.000+ spam and ham messages
✔️ Learn how to filter
https://t.co/wvNSeFSbmr
Solution 👇🧵
Top 10 Data Science Projects with Python
✔️ 10 Datasets
✔️ 10 Projects with solution
👇🧵
✔️ Big email dataset
✔️ 35.000+ spam and ham messages
✔️ Learn how to filter
https://t.co/wvNSeFSbmr
Solution 👇🧵
✔️ How to build a spam filter
✔️ Using Scikit-learn
✔️ Naive-Bayes and SVM
👇🧵
https://t.co/sHI1PAG6Do
✔️ Million Song Dataset
✔️ Metadata for a million songs
https://t.co/QgdSdIYnVV
Solution 👇🧵
✔️ Using Tableau
✔️ Collaborative-filtering engine
✔️ Similar to YouTube music
https://t.co/UEKWHSdfc0
✔️ California Housing Data
✔️ Great beginner Data Science project
https://t.co/73GBMD1hRc
Solution 👇🧵
✔️ Full 10-step workflow
✔️ Solution inspired by Handson-ML book
✔️ Great training tutorial
https://t.co/NKW8r5AQkp
👇🧵
✔️ Is 2-for-1 play in basketball an advantage?
✔️ Data scraped from Basketball-Reference
https://t.co/haS5rpdUWl
Solution 👇🧵
✔️ Use Seaborn for heatmap
✔️ Use SciPy for stats
✔️ Includes a scraper
👇🧵
https://t.co/Cj5FdUDGRT
✔️ IMDB movie review dataset
✔️ 50,000+ reviews
https://t.co/O4nzHayMU1
Solution 👇🧵
✔️ Predict positive and negative reviews
✔️ Sentiment classification model
✔️ Use NLTK
https://t.co/mbuJMPz922
👇🧵
✔️ Use OpenCV
✔️ 8 step tutorial
✔️ Landmark points on images
👇🧵
https://t.co/PGhKTGdHfb
✔️ Scrape News
✔️ Learn how to detect Fake News
Solution 👇🧵
https://t.co/cqoZiSFuPG
✔️ Use Natural Language Processing
✔️ Includes dataset
✔️ Learn to clean data
👇🧵
https://t.co/bj9gbaUTOV
✔️ Make your own Chatbot
✔️ Use NLTK and Keras
✔️ Solution in project
👇🧵
https://t.co/62d69VB0p4
✔️ Forest Fire Dataset
✔️ Predict the burned areas of forest fires
✔️ Use meteorological data
Solution 👇🧵
https://t.co/TrcBUOxj7u
✔️ Use Seaborn for visualization
✔️ Learn statistical approach
✔️ Feature Selection techniques
👇🧵
https://t.co/0t8IdpyzRf
✔️ Scrape your own data
✔️ Use Scrapy
✔️ Solution in project
👇🧵
https://t.co/IDvZVLcqjl
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How can we use language supervision to learn better visual representations for robotics?
Introducing Voltron: Language-Driven Representation Learning for Robotics!
Paper: https://t.co/gIsRPtSjKz
Models: https://t.co/NOB3cpATYG
Evaluation: https://t.co/aOzQu95J8z
🧵👇(1 / 12)
Videos of humans performing everyday tasks (Something-Something-v2, Ego4D) offer a rich and diverse resource for learning representations for robotic manipulation.
Yet, an underused part of these datasets are the rich, natural language annotations accompanying each video. (2/12)
The Voltron framework offers a simple way to use language supervision to shape representation learning, building off of prior work in representations for robotics like MVP (https://t.co/Pb0mk9hb4i) and R3M (https://t.co/o2Fkc3fP0e).
The secret is *balance* (3/12)
Starting with a masked autoencoder over frames from these video clips, make a choice:
1) Condition on language and improve our ability to reconstruct the scene.
2) Generate language given the visual representation and improve our ability to describe what's happening. (4/12)
By trading off *conditioning* and *generation* we show that we can learn 1) better representations than prior methods, and 2) explicitly shape the balance of low and high-level features captured.
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Introducing Voltron: Language-Driven Representation Learning for Robotics!
Paper: https://t.co/gIsRPtSjKz
Models: https://t.co/NOB3cpATYG
Evaluation: https://t.co/aOzQu95J8z
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Videos of humans performing everyday tasks (Something-Something-v2, Ego4D) offer a rich and diverse resource for learning representations for robotic manipulation.
Yet, an underused part of these datasets are the rich, natural language annotations accompanying each video. (2/12)
The Voltron framework offers a simple way to use language supervision to shape representation learning, building off of prior work in representations for robotics like MVP (https://t.co/Pb0mk9hb4i) and R3M (https://t.co/o2Fkc3fP0e).
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MDZS is laden with buddhist references. As a South Asian person, and history buff, it is so interesting to see how Buddhism, which originated from India, migrated, flourished & changed in the context of China. Here's some research (🙏🏼 @starkjeon for CN insight + citations)
1. LWJ’s sword Bichen ‘is likely an abbreviation for the term 躲避红尘 (duǒ bì hóng chén), which can be translated as such: 躲避: shunning or hiding away from 红尘 (worldly affairs; which is a buddhist teaching.) (https://t.co/zF65W3roJe) (abbrev. TWX)
2. Sandu (三 毒), Jiang Cheng’s sword, refers to the three poisons (triviṣa) in Buddhism; desire (kāma-taṇhā), delusion (bhava-taṇhā) and hatred (vibhava-taṇhā).
These 3 poisons represent the roots of craving (tanha) and are the cause of Dukkha (suffering, pain) and thus result in rebirth.
Interesting that MXTX used this name for one of the characters who suffers, arguably, the worst of these three emotions.
3. The Qian kun purse “乾坤袋 (qián kūn dài) – can be called “Heaven and Earth” Pouch. In Buddhism, Maitreya (मैत्रेय) owns this to store items. It was believed that there was a mythical space inside the bag that could absorb the world.” (TWX)
1. LWJ’s sword Bichen ‘is likely an abbreviation for the term 躲避红尘 (duǒ bì hóng chén), which can be translated as such: 躲避: shunning or hiding away from 红尘 (worldly affairs; which is a buddhist teaching.) (https://t.co/zF65W3roJe) (abbrev. TWX)
2. Sandu (三 毒), Jiang Cheng’s sword, refers to the three poisons (triviṣa) in Buddhism; desire (kāma-taṇhā), delusion (bhava-taṇhā) and hatred (vibhava-taṇhā).
These 3 poisons represent the roots of craving (tanha) and are the cause of Dukkha (suffering, pain) and thus result in rebirth.
Interesting that MXTX used this name for one of the characters who suffers, arguably, the worst of these three emotions.
3. The Qian kun purse “乾坤袋 (qián kūn dài) – can be called “Heaven and Earth” Pouch. In Buddhism, Maitreya (मैत्रेय) owns this to store items. It was believed that there was a mythical space inside the bag that could absorb the world.” (TWX)
This is a pretty valiant attempt to defend the "Feminist Glaciology" article, which says conventional wisdom is wrong, and this is a solid piece of scholarship. I'll beg to differ, because I think Jeffery, here, is confusing scholarship with "saying things that seem right".
The article is, at heart, deeply weird, even essentialist. Here, for example, is the claim that proposing climate engineering is a "man" thing. Also a "man" thing: attempting to get distance from a topic, approaching it in a disinterested fashion.
Also a "man" thing—physical courage. (I guess, not quite: physical courage "co-constitutes" masculinist glaciology along with nationalism and colonialism.)
There's criticism of a New York Times article that talks about glaciology adventures, which makes a similar point.
At the heart of this chunk is the claim that glaciology excludes women because of a narrative of scientific objectivity and physical adventure. This is a strong claim! It's not enough to say, hey, sure, sounds good. Is it true?
Imagine for a moment the most obscurantist, jargon-filled, po-mo article the politically correct academy might produce. Pure SJW nonsense. Got it? Chances are you're imagining something like the infamous "Feminist Glaciology" article from a few years back.https://t.co/NRaWNREBvR pic.twitter.com/qtSFBYY80S
— Jeffrey Sachs (@JeffreyASachs) October 13, 2018
The article is, at heart, deeply weird, even essentialist. Here, for example, is the claim that proposing climate engineering is a "man" thing. Also a "man" thing: attempting to get distance from a topic, approaching it in a disinterested fashion.
Also a "man" thing—physical courage. (I guess, not quite: physical courage "co-constitutes" masculinist glaciology along with nationalism and colonialism.)
There's criticism of a New York Times article that talks about glaciology adventures, which makes a similar point.
At the heart of this chunk is the claim that glaciology excludes women because of a narrative of scientific objectivity and physical adventure. This is a strong claim! It's not enough to say, hey, sure, sounds good. Is it true?
Trading view scanner process -
1 - open trading view in your browser and select stock scanner in left corner down side .
2 - touch the percentage% gain change ( and u can see higest gainer of today)
3. Then, start with 6% gainer to 20% gainer and look charts of everyone in daily Timeframe . (For fno selection u can choose 1% to 4% )
4. Then manually select the stocks which are going to give all time high BO or 52 high BO or already given.
5. U can also select those stocks which are going to give range breakout or already given range BO
6 . If in 15 min chart📊 any stock sustaing near BO zone or after BO then select it on your watchlist
7 . Now next day if any stock show momentum u can take trade in it with RM
This looks very easy & simple but,
U will amazed to see it's result if you follow proper risk management.
I did 4x my capital by trading in only momentum stocks.
I will keep sharing such learning thread 🧵 for you 🙏💞🙏
Keep learning / keep sharing 🙏
@AdityaTodmal
1 - open trading view in your browser and select stock scanner in left corner down side .
2 - touch the percentage% gain change ( and u can see higest gainer of today)
Making thread \U0001f9f5 on trading view scanner by which you can select intraday and btst stocks .
— Vikrant (@Trading0secrets) October 22, 2021
In just few hours (Without any watchlist)
Some manual efforts u have to put on it.
Soon going to share the process with u whenever it will be ready .
"How's the josh?"guys \U0001f57a\U0001f3b7\U0001f483
3. Then, start with 6% gainer to 20% gainer and look charts of everyone in daily Timeframe . (For fno selection u can choose 1% to 4% )
4. Then manually select the stocks which are going to give all time high BO or 52 high BO or already given.
5. U can also select those stocks which are going to give range breakout or already given range BO
6 . If in 15 min chart📊 any stock sustaing near BO zone or after BO then select it on your watchlist
7 . Now next day if any stock show momentum u can take trade in it with RM
This looks very easy & simple but,
U will amazed to see it's result if you follow proper risk management.
I did 4x my capital by trading in only momentum stocks.
I will keep sharing such learning thread 🧵 for you 🙏💞🙏
Keep learning / keep sharing 🙏
@AdityaTodmal
